Hardware Software CO Design Jobs in Bengaluru

Position: Embedded Software Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Embedded System Development Work with a team of developers to design, create, and implement **embedded systems and applications** for R&D projects, which will later be integrated into BFW machines. Develop embedded software from requirements gathering to production and commercial deployment. Assist an in-house team of embedded developers in the creation of **prototype boards, coding, and testing**. Demonstrate previous embedded projects, including examples and supporting audiovisual materials. Software Design & Implementation Design, develop, test, and debug **embedded system software**. Review and optimize code for efficiency, stability, and scalability. Analyze system resources and integrate new product designs into the system. Interface with hardware design and development teams to ensure seamless integration. Testing & Support Provide **post-production support** and assist in the debugging and troubleshooting of embedded systems. Support software **quality assurance (QA)** and optimize I/O performance for embedded systems. Third-Party Software Integration Assess and integrate **third-party and open-source software** solutions as needed for system functionality. Behavioral Competencies Component Selection: Ability to select appropriate components for embedded systems based on requirements. Communication: Strong written and verbal communication skills for documentation, team collaboration, and customer interaction. Problem Solving: Ability to work independently, troubleshoot issues, and optimize system performance. Skills and Expertise Core Programming Skills Proficient in **C, C++, and Python**. (**Must know**) Expertise in **QT and QML**. (**Must know**) Hardware Knowledge Experience with schematic design, PCB component placements, layouts, and artwork. (Good to know) Understanding of **EMC standards** and their application in hardware design. (Good to know) Microcontroller & Processor Expertise Working knowledge of **8, 16, and 32-bit microcontrollers**. (**Must know**) Experience with **32-bit and 64-bit microprocessors**, including ATOM, ARM, PIC, Atmel, etc. (**Must know**) Communication Protocols Proficient with communication protocols such as **RS232C, RS485, USB, TCP/IP, Modbus RTU/TCP, and shared memory (Redis)**. (**Must know**) POC & Testing Setup Proficient in creating **proof-of-concept (POC)** layouts and writing test code for available lab resources to validate designs. Qualifications Essential: Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent). Experience: Minimum of **2 years of experience** working and developing embedded software for platforms. Proficiency in developing software and working with hardware in an embedded environment. Qualification : Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent)

Software & Embedded Systems Engineer Location: Bangalore Department: Engineering Role Summary Fracktal Works is looking for a skilled and motivated Software & Embedded Systems Engineer to join our innovative engineering team in Bangalore. The ideal candidate has a strong foundation in software development, hands-on experience with embedded systems, and a keen interest in working with hardware platforms. Experience with 3D printers is a plus. This role will involve designing, developing, and maintaining embedded software solutions, collaborating closely with hardware teams, and contributing to cutting-edge projects in the field of additive manufacturing and automation. Key Responsibilities Design, develop, and maintain embedded software for various hardware platforms. Write clean, efficient, and optimized code in Python and C++ for embedded applications. Apply object-oriented programming (OOP) principles to develop modular and scalable codebases. Collaborate with hardware engineers to integrate, test, and debug embedded software with physical hardware. Build and experiment with Arduino, Raspberry Pi, and other microcontroller-based platforms. Diagnose and resolve software and hardware integration issues. Work within Linux environments for scripting, system management, and development tasks. Use Git, GitHub, and other version control tools for collaborative development and project tracking. Participate in code reviews, providing and incorporating constructive feedback to ensure code quality. Qualifications & Skills Bachelor s degree in Computer Science, Electronics/Electrical Engineering, Mechatronics, or a related field. Strong programming skills in Python and C++. Solid understanding of object-oriented programming (OOP) and software design principles. Experience with embedded systems development and working with hardware interfaces. Hands-on experience with Arduino, Raspberry Pi, or similar development boards. Proficiency with Linux systems (including shell scripting and system-level operations). Familiarity with version control systems (e.g., Git and GitHub). Prior experience with 3D printers either operating, building, or modifying them is an advantage. Excellent problem-solving skills, attention to detail, and a passion for hands-on development. Strong collaboration and communication skills both written and verbal. Knowledge of PCB design is a plus, but not required. At Fracktal Works, you ll join a team that is pioneering the future of manufacturing technology. You ll work on exciting projects in 3D printing and embedded systems, learn from a collaborative and highly skilled team, and make a tangible impact in an innovative, fast-paced environment. Qualification : Bachelors degree in Computer Science, Electronics/Electrical Engineering, Mechatronics, or a related field

Application Engineer Location: Bangalore Department: Engineering / Customer Success Role Summary Fracktal Works is seeking an enthusiastic and technically skilled Application Engineer to join our team in Bangalore. In this customer-facing role, you will be responsible for supporting clients with technical challenges, conducting training, evaluating applications, and collaborating across teams to advance the use of 3D printing technology. Your work will play a key role in driving innovation, improving customer experience, and enabling the successful adoption of additive manufacturing solutions. Key Responsibilities Provide hands-on technical support to customers, resolving issues related to 3D printing hardware, software, and processes. Collaborate with the sales and engineering teams to develop new 3D printing applications and tailor solutions to client needs. Deliver customer training on 3D printing systems, software (CAD), and post-processing techniques. Work with the R&D team to test new materials and print processes aimed at improving quality, reliability, and performance. Evaluate 3D printing products and services; offer feedback and insights to the engineering team for continuous improvement. Maintain a strong understanding of 3D printing trends and technologies, and share insights with the sales and marketing teams. Represent the company at trade shows, conferences, and events, showcasing solutions and building customer/vendor relationships. Develop technical resources including documentation, training guides, and application notes for both internal and customer use. Support the sales process by providing technical assistance, conducting product demonstrations, and attending customer meetings. Coordinate with the sales team on scheduling, documentation, and ensuring availability of sales-related equipment and materials. Perform CAD modeling for client-specific applications and internal development projects. Required Skills & Qualifications 1 3 years of experience with 3D printing technologies (FDM, SLA/DLP, SLS) in commercial or industrial settings. (Fresh graduates and interns with relevant skills are also encouraged to apply.) Hands-on experience with operating, maintaining, and troubleshooting 3D printing or industrial equipment. Familiarity with the complete 3D printing project lifecycle, including design, printing, post-processing, and testing. Strong oral and written communication skills with the ability to explain complex technical concepts clearly. Excellent problem-solving, facilitation, and consultation skills. Awareness of technology trends and innovations in additive manufacturing. Technical Proficiencies CAD Software: SolidWorks, Fusion 360, Autodesk Eagle Simulation/Analysis Tools: Ansys Workbench (Static Structural), Minitab Documentation Tools: LaTeX Programming Languages: C/C++, Python Operating Systems: Windows, Linux Education Bachelor s degree in Engineering (Mechanical, Mechatronics, Electronics, etc.) or a related field. Candidates with strong industry experience in lieu of a degree may also be considered. At Fracktal Works, you'll work at the intersection of engineering and innovation. As an Application Engineer, you'll be empowered to solve real-world problems, work with cutting-edge 3D printing technologies, and contribute directly to customer success and product development. Qualification : Bachelors degree in Engineering (Mechanical, Mechatronics, Electronics, etc.) or a related field

Job Title: Principal Electronics Engineer Embedded Hardware Location: Bengaluru Experience: 8 14 years Industry: Automotive / EV / Manufacturing Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we are more than just a company we re a movement that s reshaping the future of electric mobility. From building India s fastest electric motorcycle to designing the world s most advanced electric scooter, we thrive on pushing the boundaries of what s possible. We are a team of engineers, designers, and trailblazers united by a passion to craft machines that are sustainable, intelligent, and exhilarating. Every bolt, every line of code, and every component is designed with a singular mission: to accelerate the global shift toward next-generation mobility. Role Overview We are looking for a Principal / Lead Electronics Engineer Embedded Hardware to take ownership of vehicle electronics architecture, embedded systems design, diagnostics, and system-level validation for our next-gen electric vehicles. In this role, you will be at the forefront of developing high-performance electronic control units, telematics, and connected systems for future-ready vehicles. You will drive architecture decisions, system integration, and compliance, working alongside cross-functional teams to bring innovation from concept to the street. Key Responsibilities 1. Vehicle Electronics Architecture Design and bring to production electronic hardware including ECUs, display clusters, and telematics modules. Develop high-speed embedded designs with RF, sensor integration, and communication interfaces (CAN, LIN, UART, SPI, I2C). Create and maintain system schematics, architecture documentation, and interface definitions. 2. Embedded Hardware Design Develop embedded platforms with high-performance microcontrollers/processors to support vision systems, graphics, radar/LiDAR, audio, and OS-based applications. Architect and validate connected systems involving GNSS, LTE, BLE, Wi-Fi. Lead the design and integration of vehicle subsystems like lighting, clusters, IMUs, and more. Collaborate closely with firmware teams on hardware-software integration, bootloaders, and OTA functionality. 3. Diagnostics & Compliance Implement UDS-based diagnostics, fault logging systems, and service tools. Ensure compliance with AIS-004, ISO 26262, and other automotive design standards. 4. Testing & Validation Define and execute component-level and vehicle-level validation test plans. Utilize tools like Vector CANoe, CANalyzer, ETAS INCA, oscilloscopes, and spectrum/network analyzers for debugging and validation. 5. Cross-functional Collaboration Partner with teams across mechanical, software, UX, powertrain, and wire harness for holistic system integration. Work with mobile and cloud teams to enable real-time data streaming, diagnostics, and OTA updates. Actively contribute in design reviews, DFMEAs, and root cause analyses of field issues. Required Qualifications & Skills B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines. 8+ years of embedded hardware design experience, preferably in 2W/EV/automotive domain. Strong understanding of embedded C and scripting languages (e.g., Python, MATLAB, Octave). Experience with circuit simulation tools (e.g., PSPICE, LTSPICE, SIMPLIS, Simetrix). Hands-on expertise in RF design, signal/power integrity, EMI/EMC compliant layouts. Proficiency in PCB design tools (e.g., OrCAD, Altium, Mentor Graphics). Demonstrated experience in designing systems with multi-core processors, memory chips, SoMs, and high-speed interfaces (USB, Ethernet, LVDS, MIPI). Deep knowledge of embedded communication protocols (CAN, LIN, SPI, UART, I2C). Strong debugging and problem-solving skills in hardware validation and field testing. Nice to Have Hands-on experience in vehicle electronics development for 2W, 4W, or electric vehicles. Familiarity with DFT/DFA (Design for Testing/Assembly) methodologies. Experience with manufacturing and compliance testing for embedded hardware. Background in developing connected vehicle ecosystems with OTA capabilities. Passionate about emerging technologies in mobility, EVs, and embedded systems. Be part of India s electric mobility revolution where engineering meets adrenaline. Work on world-class technologies that are pushing global boundaries. Join a culture that encourages innovation, learning, and ownership. Collaborate with passionate teams building next-gen mobility experiences. Qualification : B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines

Job Title: Senior System Engineer Job Type: Full-Time Location: Bangalore Experience Required: 5 10 Years Education: B.E / B.Tech in Electronics & Communication (ECE), Electrical & Electronics (EEE), or Instrumentation Job Summary: We are looking for an experienced and technically proficient Senior System Engineer to lead the design, analysis, and testing of RF systems. The ideal candidate will have a strong background in RF principles, hardware testing, and system-level design, along with the capability to manage projects and mentor junior engineers. Key Responsibilities: Design, develop, and analyze RF systems from concept through to production. Perform system-level analysis including link budgets, acquisition, and tracking especially in applications like GPS satellite systems. Use simulation tools to model and optimize RF system performance. Conduct testing using RF test equipment such as signal generators, oscilloscopes, and spectrum analyzers. Lead and support hardware qualification processes, including environmental testing. Ensure adherence to hardware lifecycle quality processes. Collaborate with cross-functional teams across hardware, software, and testing domains. Mentor junior engineers and assist in technical project management and execution. Required Skills & Qualifications: Strong foundation in RF design principles and system architecture. Hands-on experience with RF simulation tools and measurement equipment. Knowledge of GPS systems including acquisition and tracking techniques. Familiarity with environmental and qualification testing for hardware components. Understanding of hardware lifecycle and quality standards. Proven ability to mentor and guide junior team members. Strong analytical, documentation, and communication skills. Qualification : B.E / B.Tech in Electronics & Communication (ECE), Electrical & Electronics (EEE), or Instrumentation

Job Title: Software Design & LabVIEW Engineer Location: Bengaluru Overview: Join CynLr s Product Design and Algorithm Team as a Software Design & LabVIEW Engineer, where you will be instrumental in developing LabVIEW code for advanced algorithms and experiments, optimizing performance, and supporting the software development lifecycle with strong architectural discipline. You will also provide critical interface and support for hardware-in-the-loop validation and customer implementation. Key Responsibilities: LabVIEW Development & Experimentation Translate concepts and algorithms from Design and Algorithm teams into well-structured LabVIEW code and experiments. Optimize LabVIEW code for timing and memory performance. Build custom data visualizations and user-friendly UI elements to accelerate experimental workflows. Enhance Lab experiment applications for usability and efficiency. Code Refactoring & Architecture Understand and apply established LabVIEW design patterns and coding standards (including STQ). Refactor legacy spaghetti code to comply with architecture and design guidelines. Document and maintain code quality and design consistency. Software Development Lifecycle Integration Implement and maintain source and version control using GIT or equivalent tools. Integrate evolving C++ DLL libraries seamlessly into LabVIEW codebases without disruption. Verification & Validation (V&V) Develop test cases and execute validation tests for C++ and LabVIEW code. Perform hardware-in-the-loop testing to validate algorithm functionality and performance. Customer Interface & Support Assist in application implementation and provide technical support to customers. Serve as a LabVIEW knowledge resource for the Algorithm and Design engineers and onboard new team members. Job Requirements: Programming Fundamentals Strong understanding of Data Flow programming paradigm and parallel programming in LabVIEW. Experience with dynamic thread management and service spawning. Software Design & Development Proven involvement in the full software development lifecycle, including distributed development with source/version control (GIT). Expertise in State Machine architecture and familiarity with other design patterns applied in LabVIEW. UI/UX Skills Proficient in building custom controls, data visualizations, and UI elements (experience with XControls is a plus). Strong knowledge of subpanels, resolution reflow, and splitter management for UI design. LabVIEW IDE Expertise Deep knowledge of VI Server (methods and attributes) and VI scripting (preferred). Mastery of LabVIEW project and environment settings, including front panel customization, function palettes, debugging, VI properties, and productivity features. Connectivity & Hardware Interface Experience integrating .dll libraries and C++ header files into LabVIEW applications. Familiarity with registry coding is advantageous. Hands-on experience with communication protocols including Ethernet (UDP, TCP), RS232/485, and industrial protocols like Modbus, CAN, etc.

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

Senior Software Engineer Google Ads Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree or equivalent practical experience. 5+ years of experience in software development using one or more programming languages. Strong understanding of data structures and algorithms. 3+ years of experience in testing, maintaining, or launching software products. 1+ year of experience in software design and architecture. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. 1+ year of experience in a technical leadership role. Experience developing accessible technologies. About the Role Google s software engineers are at the core of building next-generation technologies that shape the way billions of users interact with information and each other. This role demands versatility, a strong grasp of core computer science concepts, and a readiness to solve challenges across the technology stack. As a Senior Software Engineer in the Google Ads team, you will work on products that power the open internet and connect advertisers with billions of users worldwide. You ll design and develop solutions across domains including search, display, shopping, travel, video advertising, and analytics. Your work will help businesses of all sizes from local startups to global enterprises achieve measurable results with trusted, impactful advertising tools. Key Responsibilities Design, develop, test, deploy, and maintain scalable software solutions. Write clean, efficient, and well-tested code for product or system development. Participate in and/or lead design and architecture reviews to assess and choose optimal technologies. Review code written by peers to ensure adherence to best practices regarding style, testability, and performance. Troubleshoot and resolve system or product issues through root cause analysis of hardware, network, or software components. Maintain and contribute to internal documentation and educational materials; adapt content based on user feedback and product changes. Qualification : Bachelors degree or equivalent practical experience.

Principal Engineer, Google Cloud VMware Engine Google - Bengaluru, Karnataka, India Join Google Cloud in Bengaluru, Karnataka, India and play a pivotal role in the Google Cloud VMware Engine (GCVE) team! Our mission is to empower customers to seamlessly move their VMware-based applications to Google Cloud without altering their existing apps, tools, or processes. As a Principal Engineer, you will spearhead the technical strategy for GCVE, driving the development of highly performant and scalable infrastructure with fully redundant and dedicated networking. You will ensure the availability necessary for demanding enterprise workloads and pioneer innovative solutions to dramatically reduce cloud migration timelines. In this critical role, you will lead the execution and delivery of the overall GCVE Systems Design. This includes influencing compute server design, platform architecture, network fabric, large cluster level Service Level Objectives (SLOs), reliability, observability, and alerting. You will also be instrumental in how these systems integrate with the broader Google Cloud Infrastructure and Services. Collaboration with external partners, particularly VMware, to co-create groundbreaking solutions will be a key aspect of this role. Leveraging your deep understanding of emerging cloud technologies, you will address the unique cloud requirements of VMware workloads. Your technical expertise will be crucial in bringing innovative software solutions to market, understanding enterprise workload requirements, and utilizing open source technologies. Google Cloud is dedicated to accelerating every organization's digital transformation. We provide enterprise-grade solutions leveraging Google s cutting-edge technology and developer-friendly tools. Join us as a trusted partner for customers in over 200 countries and territories, enabling their growth and solving their most critical business challenges. Responsibilities: Develop a forward-thinking technical roadmap for the Google Cloud VMware Engine organization, fostering continuous innovation and the implementation of novel systems solutions. Design, build, and deploy highly scalable solutions leveraging Google compute platforms, robust hardware, advanced networking, and sophisticated software infrastructure to deliver exceptional systems for VMware workloads at scale. Collaborate effectively across engineering teams involved in the build, design, and implementation of hardware and software spanning infrastructure domains such as platforms, server architecture, compute, storage, networking, and data analytics. Influence and establish best engineering practices for managing robust and scalable systems to proactively address exponential market demand. Provide technical leadership for cloud developer technology within Google and manage collaborations with cross-functional Engineering teams to optimize the adoption of Google Cloud Platform capabilities, both internally and for the broader cloud industry. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience. 15 years of experience in hardware and software design, data structures, and algorithms. Preferred Qualifications: Master's degree. Proven experience in delivering successfully within stipulated timelines. Demonstrated experience in successfully building software and large-scale distributed systems. Comprehensive understanding of private and public cloud design considerations and limitations in virtualization, global infrastructure, hypervisor technologies, networking, data storage, and security. Exceptional ability to work cross-functionally, partnering effectively with groups such as Sales, Engineering, Product Management, Product Marketing, UX, and UI, skillfully brokering trade-offs with stakeholders and understanding their diverse needs. Excellent narrative and storytelling skills with a proven ability to drive usage, adoption, and market momentum. Qualification : Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Summary: (Sr. Lead Engineer) Qualcomm Simulation platform team would be responsible for defining/prototyping/developing software s on the emulation platforms. Looking for an experienced BSP engineer for virtual platform, who can help us is developing virtual prototype software solution for snapdragon automotive products. Candidate must have an excellent understanding of the complex SoCs architecture & its Software stack. Education & Experience: Bachelor s/master s degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience. Primary Responsibility: Software (BSP) Bring-up on Virtual Platforms. Understand the emulation platform SoC architecture and develop single software solution. Ability to collaborate with cross functional teams and deliver the quality product under strict timeline. Define & develop custom virtio architectures. Pre-silicon software development platform prototype development Develop solution to improve performance of software running on Virtual platform. Supporting internal & external customers on Bring up & debugging from Software & emulation side. Mandatory Skills: Knowledge in Linux/QNX BSPs & Full Boot Chain. Strong System level programming skills in C/C++. Python, Rust is a plus. Excellent knowledge of OS fundamentals, Data structures, Linux kernel and its device driver model Strong debugging, analytical and problem-solving skills. Should have knowledge on debuggers like T32,gdb, etc., Strong collaboration skills with the ability to collaborate with multiple functional teams. Able to understand and debug large complex SW. Fair understanding of CPU (ARM), subsystems, SOC architecture and its SW-layers Fair understanding of the Virtual Machines with Type1 and Type2 Hypervisors Added Advantage: Fair understanding of QEMU/KVM platforms. Fair understanding of multimedia systems (GPU/Display/CAM/VPU/etc.,) knowledge. Fair knowledge of hardware-software interface and SystemC ASPICE and ISO26262 know how is preferred. Automotive experience is preferred. Qualification : Bachelors/masters degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience.

Software Engineer Power/Thermal Software Products Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world-class products that meet and exceed customer needs. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Job Description Job Overview: The Power/Thermal Software Products Team at Qualcomm focuses on delivering industry-leading power, thermal, and limit software management solutions across Qualcomm s Mobile, Automotive, Compute, IoT, and AR/VR chipsets. In this role, you will work with cross-functional teams to: Identify power optimization and performance tuning opportunities. Perform thermal/limits hardware tuning, characterization, and risk assessment. Develop optimized solutions and mitigation strategies. Conduct system-level analysis of power/thermal use cases. Collaborate with Architecture, Hardware Design, Performance, Power/Thermal Systems, and various Software teams to create optimal system-level power/thermal software solutions. Develop tools and methodologies for competitive analysis to understand competitors strengths and weaknesses. Design and implement thermal mitigation schemes that are best in the industry. Preferred Qualifications 3+ years of experience with Programming Languages such as C, C++, Java, Python, etc. Strong systems/hardware background with a solid understanding of microprocessor architecture and common SoC hardware blocks (interconnects, display, graphics, etc.). Good understanding of operating system concepts including scheduling, memory management, process management, interrupt handling, and device drivers. Experience using debug tools such as JTAG debuggers, oscilloscopes, and logic analyzers. Experience developing power/thermal management software. In-depth knowledge of embedded systems, microcontrollers, SoC power, modems, multimedia, wireless communications, and system-level debugging/analysis for SoC power optimization. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number found on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities during the hiring process. Qualcomm is also committed to ensuring its workplace is accessible to individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries via this email.) Recruitment Policy Qualcomm s Careers Site is only for individuals seeking employment directly with Qualcomm. Staffing and recruiting agencies, as well as candidates represented by agencies, are not authorized to use this site to submit profiles, applications, or resumes. Any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies and is not responsible for any associated fees. Compliance Notice Qualcomm employees are expected to comply with all applicable policies and procedures, including but not limited to security requirements and protection of company confidential and proprietary information, in line with applicable laws. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Minimum Qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 3 years of experience with systems automation and tooling using Python, Go, or any other programming language. 3 years of experience in managing technical infrastructure (e.g., deployment, maintenance, troubleshooting). 3 years of experience in Linux Internals, Networking, and Systems administration. Preferred Qualifications: 6 years of experience in implementing, troubleshooting, and supporting computing systems. Experience with DevOps tools such as Terraform, Puppet, Ansible, Jenkins. Experience with cloud provider ecosystems of cloud service providers. Experience in supporting large-scale complex cloud-based infrastructure. Experience in one of the High Performance Computing (HPC) Schedulers such as LSF, Symphony, NC, or SLURM. Excellent investigative, problem-solving, and communication skills. About the Job: Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don t just write code to fix bugs but emphasize the development of tools and solutions that fix classes of problems. We know it s hard to control what you can t measure so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments, and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects while striving to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access, and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. In this role, you will be responsible for building and operating the underlying foundation infrastructure used for designing custom silicon. This includes compute platforms, CI/CD, Cloud, groups and Access Control Lists (ACLs), source control, dashboards, resource economy, and bench labs used by silicon engineers in their daily work. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities: Ensure the timely delivery of silicon designs using Google Cloud Platform (GCP) within a fluid environment. Monitor and uphold high standards for internal services on Google Cloud. Provide support, maintain, and deploy team-supported infrastructure and documentation. Collaborate closely with engineering teams to implement and develop on Google Cloud infrastructure. Automate tasks wherever needed. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Job Description Intel is seeking an experienced Systems Engineer to drive the design, development, and integration of hardware, firmware, and software solutions for Xeon-based platforms. The role focuses on system architecture, performance optimization, and technical risk assessment while ensuring scalability, reliability, and security in system implementations. The ideal candidate will work on customer-centric solutions, influencing next-generation system design and conducting proof-of-concept experiments to validate new features and technologies. Key Responsibilities: System Architecture & Design: Define, develop, and optimize end-to-end solutions integrating software, firmware, board, and silicon/SoC components. Customer-Centric Solutions: Translate business opportunities into use cases, develop product specifications, and implement solutions based on customer needs and system limitations. Performance & Reliability Optimization: Conduct design analysis, assess technical risks, and optimize for security, scalability, and maintainability. Hardware Validation & Debug: Perform schematic reviews, layout verification, mechanical/thermal analysis, and electrical validation (including Signal Integrity (SI) analysis). System Integration: Ensure smooth hardware-software integration, identifying and resolving hardware issues at the component and system levels. Lab-Based Proof-of-Concept Testing: Conduct real-life environment simulations, prototype testing, and performance benchmarking. Documentation & Knowledge Sharing: Develop technical documents, customer presentations, and training materials to enhance internal and external knowledge sharing. Industry Research & Collaboration: Engage in academic and industry research, driving innovation beyond existing solutions. Qualifications & Experience: Educational Requirements: B.E/B.Tech in Electronics & Communication, Computer Science, or a related field. Minimum of 10 years of relevant industry experience. Technical Expertise: Experience in Xeon platform hardware design and validation. Strong knowledge of schematics, PCB layout, mechanical, and thermal analysis. Experience with electrical validation, signal integrity (SI), and power integrity (PI) analysis (desirable). Expertise in hardware issue validation, debugging, and system integration. Strong problem-solving and analytical skills for complex, multi-layered system architectures. Excellent technical documentation and presentation skills. About Intel Validation Engineering (iVE) Group: The Intel Validation Engineering (iVE) Group plays a pivotal role in Intel s technology leadership, validating, debugging, and optimizing Intel s cutting-edge designs. iVE ensures that Intel's next-generation products meet the highest quality standards, enabling Intel to deliver world-class technology platforms. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a top-tier compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.E/B.Tech in Electronics & Communication, Computer Science, or a related field.

We are looking for a Senior System Software Engineer! As a member of our NVLink development team, you will drive feature enablement post silicon and firmware/verification infrastructure for our next-generation GPUs that enable high-performance interconnect of multi-GPU systems. Familiarity with high-performance systems and networking protocols and architectures is a bonus. What you'll be doing: Drive bringup, feature enablement and debug on GPU systems post silicon. Collaborate with architecture, hardware and software teams on feature design, development and enabling. Triage and resolve firmware issues during customer quals/in the field. Log bugs, track coverage metrics, and perform gap analysis. Work on developing automation tools and infrastructure to improve our firmware development, regressions, and verification process What we need to see: BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field 5+ years of minimum experience in a software development role Excellent debugging and analytical skills Software Verification, DFx knowledge is a bonus Experience with Python/Perl/C/C++ Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, DMA, etc.). Excellent interpersonal skills and ability to collaborate with on-site and remote teams Ways to stand out from the crowd: You're passionate about low-level software development/ debugging / verification Experience with HW/SW interactions Experience with RTOS/RISCV programming/debugging Ability to work independently with minimum supervision Schedule-oriented with excellent execution abilities NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our NVLink design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid Qualification : BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field

NVIDIA is searching for outstanding senior system software engineer to join the NVIDIA's automotive display driver team and help produce the next-gen groundbreaking products. The best candidates will have very strong C programming skills and validated understanding of Graphics systems software with clear understanding of Computer Architecture and OS fundamentals. In this position you'll have the opportunity to work on the latest innovative NVIDIA automotive platforms. We have a real passion for pushing the technology to its limit and creativity which will be fully tested and applied here. You will closely work with experts from display and adjacent domains in system software, hardware across NVIDIA to build the best products in the segment. What you'll be doing: Define, design, develop, test and maintain our GPU/Display kernel mode drivers and embedded firmwares. Candidate will have an opportunity to work across multiple operating systems, e.g. Linux, Android, QNX. Get to craft, develop, unit test, document and maintain features for NVIDIA GPUs and Tegra SoCs. What we need to see: BS or equivalent experience in Computer Science or related field. 10+ years of experience developing system software and kernel mode drivers in one or more of the Linux, QNX or Android operating systems. Skilled control over C programming to develop multi-threaded complex kernel mode drivers. Excellent understanding of computer architecture, operating systems concepts, memory management, and concurrency. Experience in graphics device drivers will be a distinguisher. Strong communication and interpersonal skills. Ways to stand out from the crowd: Experience working in Linux DRM-KMS (Kernel Mode Setting) subsystem. Conceptual understanding of user-space compositors, e.g. Android HWC, Wayland Compositor, QNX Screen etc. Experience working with display protocols, e.g. HDMI, Display Port. Qualification : BS or equivalent experience in Computer Science or related field.

About the Job Google s software engineers develop next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products operate at massive scale and extend well beyond web search. We seek engineers who bring fresh ideas from diverse areas, including: Information retrieval Distributed computing Large-scale system design Networking and data storage Security Artificial intelligence Natural language processing UI design and mobile As a Software Engineer at Google, you ll work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business evolve. We need engineers who are versatile, show leadership qualities, and are enthusiastic about solving new problems across the full stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. About Google Ads Google Ads powers the open internet with cutting-edge technology that creates value for users, publishers, advertisers, and Google. Our teams build Google s advertising products across search, display, shopping, travel, and video advertising, as well as analytics. We create trusted experiences between people and businesses with useful ads that help grow companies from small businesses to large brands and YouTube creators. Responsibilities Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to evaluate technologies and approaches. Review code developed by other developers, providing feedback to ensure best practices (e.g., style guidelines, code accuracy, testability, and efficiency). Contribute to and adapt documentation and educational content based on product updates and user feedback. Triage and debug product or system issues by analyzing sources of problems and their impact on hardware, networks, or service operations. Minimum Qualifications Bachelor s degree or equivalent practical experience. 5 years of experience in software development in one or more programming languages, with expertise in data structures and algorithms. 3 years of experience in testing, maintaining, or launching software products. 1 year of experience in software design and architecture. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. 1 year of experience in a technical leadership role. Experience developing accessible technologies. Qualification : Bachelors degree or equivalent practical experience.

About the Job Join a diverse team that pushes boundaries by developing custom silicon solutions powering the future of Google's direct-to-consumer products. Contribute to the innovation behind products loved by millions worldwide and help shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team blends the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies to make computing faster, seamless, and more powerful, ultimately improving people s lives through technology. Responsibilities Define ASIC power management architecture for an SoC, including image compute, CPU/GPU functions, ensuring maximum performance under power and thermal constraints. Prototype firmware and validate the next-generation SoC power management system at various design stages. Analyze implementation and models, and test the performance of power management solutions. Produce detailed documentation on the proposed power management implementation and conduct trade-off analyses for engineering reviews and product roadmap decisions. Collaborate with software teams and the power architecture team to build system-level designs and methods for optimized power management. Minimum Qualifications Bachelor s degree in Electrical Engineering or equivalent practical experience. 8 years of experience in power management or post-silicon measurements and validation. 3 years of experience with power management validation. Preferred Qualifications Master s degree or PhD in Electronics, Computer Engineering, or Computer Science, with an emphasis on computer architecture and performance/power analysis. Solid knowledge of Dynamic Voltage Frequency Scaling (DVFS), idle power management, and system mitigation strategies. Strong understanding of how software and architectural design decisions affect the power and thermal behavior of systems, including thermal mitigation, scheduling, and cross-layer policy design.

General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Additional Job Description Additional Job Description Exciting opportunity to work on Digital Flows/Methodologies architecture and development in energetic multi-site CAD team at Qualcomm. Our team support Simulation, Emulation, Formal Verification and Post Silicon domains providing ample opportunities to grow and contribute. Responsibilities Design, develop, and maintain CAD infrastructure for silicon design teams enabling bringup, test and debug automations. Collaborate with silicon designers, architects, silicon validation engineer, and other stakeholders to to improve future CPU bringups Define and implement new infrastructure capabilities that can be used to accelerate design utilizing multi-site datacenters. Prepare for CPU bring up through pre-work on emulation and FPGA platforms Work with CPU verification teams to reproduce silicon fails on emulators and FPGAs Troubleshoot and resolve issues related to CAD infrastructure, including hardware and software problems Support design engineers on the flow setup and resolve their queries Develop test contents and testing strategies to assist validation of CPU on silicon Qualifications Must have strong object-oriented programming abilities in Python. Must have knowledge and experience with silicon bringup and debugging Must have worked on Digital flows/methodologies development in the Emulation, pre-silicon and/or post-silicon. Familiarity with firmware and software debug, Silicon bring up and validation of CPU features. MS/BS in Electrical/Computer Engineering with 10+ years of demonstrated experience in CAD or EDA tools flows architecture, development, and support. Ability to document design methodologies & provide training on tools and workflows to design teams Strong skills in debugging and analyzing techniques to understand existing scripts/flows; Ability to work independently and explore new domains Proven track record of pushing Prior experience debugging vendor tool problems Strong written and verbal interpersonal skills and track record of success in a collaborative team environment

Minimum Qualifications: Bachelor s degree in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. At least 5 years of experience in software development, specifically within consumer electronics or embedded systems. A minimum of 3 years of experience in leading ASIC architecture decisions from a software perspective. Proficiency with Linux kernel, bootloaders, SoC, low-power management frameworks, or performance analysis. Preferred Qualifications: Master s degree or PhD in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related discipline. 10 years of experience in software design and development, particularly with software layers in ASIC (e.g., boot processes, drivers, embedded firmware, libraries, and APIs for applications). Familiarity with Android OS or similar platforms, especially in power management. Strong understanding of hardware-software interactions across various hardware blocks, including CPUs and accelerators. About the Role: Join a dynamic, diverse team that is pioneering the development of custom silicon solutions powering the future of Google's direct-to-consumer products. As part of the team, you will contribute to groundbreaking innovations in products used by millions globally, shaping the next generation of hardware experiences for optimal performance, efficiency, and integration. As the ASIC Platform Software Architect, you will be instrumental in translating software product requirements and use cases into specific hardware blocks or sub-systems. In this role, you will define the direction of the software team, guiding them in the face of complex constraints. You will work closely with hardware architects to define system architectures for hardware blocks and collaborate with the implementation team to outline solutions. You ll also help influence design decisions to ensure software requirements are met, negotiating hardware/software trade-offs for optimal results. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team integrates the best of Google AI, software, and hardware to create transformative user experiences. We focus on researching, designing, and developing new technologies and hardware to make user interaction with computing faster, more seamless, and more powerful. Whether we re innovating on form factors, advancing sensors, or redefining interaction methods, the Devices & Services team is dedicated to improving people's lives through technology. Responsibilities: Collaborate with stakeholders to identify user experience needs and map them to hardware and software solutions. Design architectures and software interfaces that empower developers to leverage hardware accelerators and other intellectual property (IP). Analyze hardware component interactions, troubleshoot issues, propose trade-off solutions, and drive to resolution. Contribute to the design and improvement of hardware from one generation to the next, applying insights from past productization efforts and reducing technical debt.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience with cloud infrastructure. 5 years of experience in a technical role focused on AI infrastructure or related areas Experience building and operationalizing machine learning models. Experience with GPU programming (e.g., CUDA, OpenCL) and optimization techniques. Preferred qualifications: Experience with high-performance computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). Experience designing/architecting large-scale infrastructure farms for specialist AI use cases. Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs. Excellent communication, presentation, and teamwork skills. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer for AI Infrastructure, you will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on GPUs, accelerators (including FPGAs and ASICs), and Google TPUs. You will work closely with Sales, Product Management, and Engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for GCP. Qualification : Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.