Hardware Acceleration Jobs in Bengaluru

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

Position: Junior/Senior Design Engineer Hardware Design Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication / Electronics & Telecommunication M.E./M.Tech. in Electronics & Communication Experience: 2 to 4 years Job Overview We are looking for a passionate and detail-oriented Hardware Design Engineer (Junior/Senior level) to join our engineering team in Bangalore. In this role, you will be responsible for designing high-performance embedded hardware systems, from circuit design and schematic capture to board bring-up and testing. You ll work closely with cross-functional teams to deliver robust, scalable, and reliable hardware solutions, primarily for embedded and defense applications. Key Responsibilities Execute assigned hardware design tasks within defined timelines. Design and develop complex hardware circuits, schematics, and PCB layouts. Perform Signal Integrity (SI), Power Integrity (PI), and thermal analysis. Develop hardware test plans and execute board/system testing accordingly. Conduct board bring-up, validation, and debugging of hardware platforms. Participate in design reviews, defect prevention, and continuous improvement activities. Adhere to all QMS (Quality Management System) and project-specific processes. Prepare detailed technical documentation and maintain design records. Flag and resolve any technical challenges with guidance from tech leads. Technical Skill Set Strong expertise in circuit design, schematic capture, and PCB design. Hands-on experience with 16-bit or 32-bit processors/microcontrollers (e.g., ARM, PowerPC, IBM PPC 405, Intel x86). Experience with FPGA-based board designs. Good understanding of high-speed board design and signal integrity concepts. Familiarity with system interfaces: PCI, PCIe, VME, Compact PCI, ATCA/AMC is a plus. Exposure to embedded hardware design for defense applications. Understanding of qualification processes for industrial/defense-grade products. Proficiency in board bring-up and hardware debugging techniques. Technology Domains Storage Technologies: iSCSI, SATA, Fibre Channel Processors: MIPS, ARM, PowerPC Interfaces: USB, PCIe, PCI-X Memory: DDR, DDR2, RLDRAM Soft Skills & Attributes Strong verbal and written communication skills Excellent interpersonal and teamwork abilities Proactive and solution-oriented mindset Strong time management and organizational skills Opportunity to work on cutting-edge hardware design projects in embedded and defense domains Exposure to the complete hardware development lifecycle Collaborative and inclusive work culture Learning and development support Competitive compensation package Qualification : M.E./M.Tech. in Electronics & Communication

Position: Technical Lead / Project Lead Hardware Design Location: Bangalore Education: B.E./B.Tech. in Electronics & Communication or Electronics & Telecommunication M.E./M.Tech. in Electronics & Communication Experience: 5 to 8 years Job Overview We are seeking a dynamic and experienced Technical Lead / Project Lead Hardware Design to join our engineering team in Bangalore. In this leadership role, you will guide a team of hardware engineers through the end-to-end design and development of advanced embedded and FPGA-based systems primarily for defense and industrial applications. You'll be responsible for ensuring high-quality, defect-free, and timely project deliveries while driving technical excellence and process adherence. Key Responsibilities Technical Leadership Lead hardware design projects from specification to delivery, ensuring robust and scalable solutions. Provide technical guidance to team members in circuit design, schematic development, and board-level design. Finalize board specifications based on customer requirements and prepare detailed technical documentation. Review hardware modules and ensure compliance with design best practices and industry standards. Lead Signal Integrity (SI), Power Integrity (PI), and thermal analysis during design and validation phases. Project Management Plan, monitor, and track project schedules, resource allocation, and delivery milestones. Coordinate with the Project Manager and cross-functional teams to ensure alignment and timely progress. Conduct internal project meetings, present status updates, and recommend process or technical improvements. Ensure adherence to QMS guidelines, project processes, and quality goals. Team Development & Support Mentor junior engineers and support individual learning and development plans. Manage a small team, resolve technical and interpersonal challenges, and promote a collaborative work environment. Assist in performance reviews and team development initiatives. Quality & Process Improvement Drive defect prevention initiatives and participate in continuous improvement of design processes. Coordinate configuration management and quality control activities throughout the project lifecycle. Technical Skill Set Strong hands-on experience in FPGA-based board design and embedded hardware development. Expertise in system-level architecture, processor interfaces, DDR memory design, serial bus protocols, and networking. Proficient in board bring-up and debugging at system level. Experience with embedded hardware design for defense applications and understanding of qualification processes. Tools: Schematic capture/layout: OrCAD, Allegro Signal integrity tools for SI/PI analysis Soft Skills Excellent verbal and written communication skills Strong people management and leadership capabilities Effective time management, organization, and planning Proven ability to manage small teams and drive project success Familiarity with quality systems and engineering best practices Opportunity to work on cutting-edge, high-impact hardware projects Collaborative and technically strong work environment Competitive compensation and benefits package Focus on leadership development and continuous learning Dynamic and inclusive workplace culture Qualification : M.E./M.Tech. in Electronics & Communication

Engineer - Distributed Control Systems (DCS) Location: Bengaluru Experience: 0 - 1 Year Openings: 1 About the Role: As a DCS Engineer, you will report to the Assistant Manager Engineering Services. Your primary purpose will be to manage the complete product lifecycle for DCS applications, encompassing software application development, hardware programming, and crucial commissioning and testing activities. This is a hands-on technical role that requires both strong analytical skills and a readiness to travel. What You'll Do: DCS Software Development: Develop and program software applications for Distributed Control Systems, with a focus on ABB 800xA. System Configuration: Gain hands-on experience and apply your knowledge in Control Builder, PG2 Graphics, Communication Protocols, and AC800M Hardware. Commissioning & Testing: Lead and execute the programming, commissioning, and testing of 800xA systems on-site. Customer Support: Provide excellent customer handling and support for Factory Acceptance Testing (FAT), ensuring client satisfaction. Project Lifecycle Management: Take responsibility for the entire project lifecycle, from initial software development through to final commissioning. Travel: Be prepared to travel extensively to customer sites across India for commissioning activities. What We're Looking For: Educational Qualification: A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication. Experience: 0 to 1 year of experience in a relevant engineering role. Technical Skills: Strong knowledge and hands-on experience with ABB 800xA Software Development. Proficiency in Control Builder, PG2 Graphics, Communication Protocols, and AC800M Hardware. Demonstrated experience in the complete project lifecycle from software development to commissioning in ABB 800xA. Excellent analytical skills to troubleshoot and optimize systems. Software Proficiency: Strong knowledge of Microsoft Office, Excel, and PowerPoint. Communication: Good communication skills in English for effective internal and external interactions. Physical Requirements: Must be physically fit and willing to travel to customer locations across all regions of India.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Role: System Administrator Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Preferably Immediate Joiners Employment Type: Full-Time About Aezion: Aezion is a forward-thinking technology solutions provider, specializing in custom software development, AI-driven solutions, and enterprise digital transformation. As a trusted digital engineering partner in the USA, we are committed to exceeding client expectations by delivering results that transform clients into long-term partners. Our promise: We get it right or make it right. At Aezion, we believe that work is more than just a job it s a ministry that reflects our values. We are dedicated to delivering excellence throughout the entire project lifecycle, from design and development to hosting, maintenance, and support. Our Culture: Aezion is a mission-driven company with a purpose rooted in service: Love others like Christ. Guided by our core values Love, Dependability, Humility, Diversity, Speed, and Innovation we aim to provide exceptional service. Our 200+ dedicated employees work together to turn our customers into lifelong partners, fueling their success through a commitment to excellence. Role Overview: As a System Administrator at Aezion, you will be pivotal in designing, implementing, and maintaining our IT infrastructure. You will ensure the reliability, scalability, and security of systems, while also optimizing performance and minimizing downtime. This role requires you to collaborate with cross-functional teams to develop infrastructure solutions that align with the business s strategic goals. Key Responsibilities: Provide day-to-day technical support for desktops, laptops, and servers, ensuring minimal downtime for end-users. Troubleshoot and resolve hardware, software, and network-related issues across the organization. Install, configure, and maintain both Windows and Linux operating systems. Manage user accounts, permissions, and security settings within Active Directory and other identity management systems. Deploy, configure, and maintain enterprise applications, antivirus solutions, and other security tools. Support and troubleshoot peripheral devices such as printers, scanners, and mobile devices. Assist with network connectivity issues, including Wi-Fi, LAN, and VPN configurations. Perform regular system updates, patch management, and ensure compliance with security protocols. Document technical procedures, troubleshooting solutions, and best practices for internal use and knowledge sharing. Provide training and support to users regarding IT policies, security, and best practices. Required Skills and Experience: Proven experience with Windows & Linux desktop and server environments. Strong troubleshooting skills for hardware, software, and network issues. Familiarity with Active Directory, Group Policy, and user management processes. Knowledge of IT security best practices, including antivirus solutions and endpoint protection. Expertise in software installation, driver configurations, and system updates. Experience with remote desktop support tools. Basic understanding of networking concepts such as IP addressing, DNS, DHCP, and VPN. Proficiency in supporting Office 365, email clients, and enterprise-level applications. Excellent customer service and communication skills for providing end-user support. IT certifications such as CompTIA A+, Microsoft Certified (MCP, MCSA), or ITIL are highly desirable.

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

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.

Technical Solutions Analyst I About the Role: As a Technical Solutions Analyst I, you will investigate front-end applications, capturing information, applying fixes, shadowing end-users, and testing workflows internally and externally. You will also utilize back-end techniques, including capturing log files, querying tables, updating database fields, and cycling servers. Effective verbal and written communication with clients and internal collaborators is essential. You will document notes, activities, resolutions, and knowledge articles throughout the investigation lifecycle. Prioritizing work based on severity, you will balance client and business needs. Collaboration within and across teams will ensure issues are addressed by the appropriate individuals. Responsibilities: Investigate front-end application issues. Capture relevant information related to incidents. Apply fixes and troubleshoot problems. Shadow end-users to understand their experience. Test workflows internally and externally. Utilize back-end techniques, including capturing log files, querying tables, updating database fields, and cycling servers. Communicate effectively (verbally and in writing) with clients and internal collaborators. Document notes, activities, resolutions, and knowledge articles. Prioritize work based on severity and impact. Collaborate within and across teams. Basic Qualifications: Six months of experience. Bachelor's degree in Computer Science Engineering, Information Systems, Software Engineering, or a related field. Preferred Qualifications: Knowledge of SQL. Willingness to work during the shift from 5:30 PM to 2:30 AM IST. Outstanding interpersonal and communication skills, enabling effective collaboration with global teams. Willingness to work in different shifts and provide on-call support. Qualification : Bachelor's degree in Computer Science Engineering, Information Systems, Software Engineering, or a related field.

Job Description Join Intel s world-class Graphics Physical Design Team, working on high-performance GPUs/GFX targeting high-end graphics, gaming, artificial intelligence, and media processing. This is an exciting opportunity to collaborate with a talented team early in the product lifecycle, driving innovation in RTL-to-GDSII implementation for multi-million gate designs on advanced process nodes. Key Responsibilities: RTL-to-GDSII implementation, including logic synthesis, physical synthesis, and routing. Clock tree synthesis, performance verification (static timing), noise and power verification. Conduct ERC (Electrical Rule Check), reliability verification, and layout verification. Work closely with design automation, methodology, and product integration teams to enhance execution efficiency and quality. Contribute to process improvements and methodology advancements. Qualifications & Requirements: Educational Qualifications: Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design. Preferred Skills: Strong fundamentals in Digital VLSI design and RTL-to-GDSII ASIC Design flow. Excellent problem-solving skills and a strong ability to learn new concepts and methodologies quickly. Basic knowledge of UNIX/Linux environments and scripting languages such as Perl, Python, and TCL (a plus). About the Client Computing Group (CCG): The Client Computing Group (CCG) drives Intel s PC business strategy and product development, spanning notebooks, desktops, 2-in-1s, and all-in-one systems. Working alongside industry partners, CCG delivers cutting-edge computing experiences that empower users to focus, create, and connect. As Intel s largest business unit, CCG continues to innovate aggressively, investing in leadership products, next-generation technologies, and scalable IP solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, providing fair consideration to all applicants regardless of race, color, religion, gender, sexual orientation, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a best-in-class compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career advancement. Qualification : Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design.

Job Description Intel is looking for an experienced Customer Quality Engineer to play a key technical support role for Xeon platforms, acting as a primary contact for pre- and post-sales support. In this role, you will represent Intel in customer engagements, ensuring that customer needs are accurately communicated within Intel and that technical challenges are resolved efficiently. You will collaborate closely with Sales and Marketing (SMG) and internal engineering teams to drive strategic technical support and enablement. Key Responsibilities: Xeon systems technology enabling, supporting customers in hardware design and validation. Provide hardware design support, including schematic reviews, layout analysis, SI (Signal Integrity), PI (Power Integrity), mechanical, and thermal analysis. Debug and resolve hardware issues, working closely with internal and external partners. Develop and publish technical documentation, collaterals, and training materials for DCAI (Data Center and AI) platforms. Manage Field Action Customer Returns (FACR) and returns management. Support customer production challenges by offering technical expertise and resolution strategies. Enable early worldwide customer issue support, facilitating platform debug and silicon failure analysis. Provide post-sales technical support for installation, implementation, and maintenance of DCAI reference platforms. Ensure Intel solutions are fully functional and meeting customer specifications, with follow-up technical support as needed. Qualifications & Experience: Educational Requirements: B.E in Electronics & Communication Engineering or a related field. Minimum of 15 years of industry experience in relevant areas. Technical Expertise: Experience in Xeon platforms hardware design and validation. Strong knowledge of schematics, layout, mechanical, and thermal analysis. Experience in electrical validation and signal integrity (SI) analysis (desirable). Expertise in hardware issue validation and debug. Proven ability to develop technical documents and presentations for customer training and support. About Intel Validation Engineering (iVE) Group: The Intel Validation Engineering (iVE) Group plays a crucial role in Intel s product leadership, ensuring that the latest cutting-edge designs and technologies meet the highest quality standards. iVE is responsible for validating, debugging, and optimizing Intel s products, ensuring the timely delivery of Intel s annual technology roadmap. Intel s Commitment to Diversity & Inclusion: Intel is committed to providing equal employment opportunities to all qualified applicants regardless of race, gender, religion, nationality, disability, or any other protected characteristic under local laws. Intel offers a best-in-class compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for career growth, leadership, and professional development. Qualification : B.E in Electronics & Communication Engineering or a 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 NVIDIA NVIDIA has continuously reinvented itself. From inventing the GPU, which sparked the growth of the PC gaming market and redefined modern computer graphics, to revolutionizing parallel computing, NVIDIA remains at the forefront of technological innovation. Today, NVIDIA GPUs power the world's most advanced AI research, providing highly scalable and massively parallel computational power. Join us and become part of a diverse, inclusive environment that encourages innovation and empowers everyone to do their best work. NVIDIA is an equal opportunity employer, and we are committed to building a diverse team and supporting your growth and success. About the Role DFT Engineer The Design-for-Test (DFT) Engineering team at NVIDIA is at the cutting edge of innovation, solving complex challenges in DFT architecture, verification, and post-silicon validation for some of the most advanced semiconductor chips in the industry. We are looking for a passionate DFT engineer to join our team and help shape the future of technology. What You ll Be Doing Design and implement state-of-the-art DFT features, including test access mechanisms, IO BIST, memory BIST, and scan compression. Verify and validate Scan ATPG and other DFT features, both in simulation and during silicon bring-up. Develop and deploy DFT methodologies for next-generation products, continuously improving DFT quality and efficiency. Collaborate with cross-functional teams to integrate DFT features into the overall chip design. Occasionally participate in travel and late-hour online meetings during critical project milestones. What We Need to See BSEE or MSEE from a reputable institution or equivalent experience. 2+ years of experience in DFT, ASIC design, or a related field. Strong understanding of static timing analysis, ECO, ASIC/logic design flow, HDL, and digital logic design. Experience in RTL and gate-level verification and simulation. Familiarity with BIST architecture, JTAG, and IEEE standards (1149.1/1500). Proficiency in Scan ATPG, compression techniques, and memory tests. Strong analytical and problem-solving skills. Scripting knowledge (Perl or Python) is essential. At NVIDIA, you'll have the opportunity to work on world-changing technology, be part of a diverse and innovative team, and experience continuous learning and growth. We strive to foster a culture of creativity, collaboration, and excellence in everything we do. #LI-Hybrid Qualification : BSEE or MSEE from reputed institutions or equivalent experience with 2+ years of experience

General Summary: Qualcomm is the industry leader in integrated chipsets that power advanced mobile devices. We are expanding our expertise in wireless technologies and advanced multimedia capabilities to continue delivering high-performance multimedia systems with low power consumption and competitive cost, while maintaining strong feature differentiation. Join Qualcomm India s Multimedia Systems Team and work at the cutting edge of performance modeling, system architecture, and evaluation of camera, video, and computer vision hardware IPs. This role offers the chance to collaborate on image signal processors (ISP), video codec hardware, and advanced algorithms for computer vision and image/video processing. Key Responsibilities: As part of the Systems and R&D team, your responsibilities may include the following: Design and maintain transaction-accurate/static models for multimedia IPs. Perform performance validation and debugging for pre- and post-silicon platforms. Conduct architecture analysis for system performance optimization. Define use-case flows for multimedia applications. Understand product features and assess their impact on system performance. Collaborate with the product marketing team to recommend feature support configurations for specific system setups. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or a related field with 4+ years of relevant experience, or Master s degree with 3+ years of experience. Strong analytical and problem-solving skills with implementation experience. Solid understanding of SoC infrastructure (NoC, Memory Controller, DDR, QoS, MMU). Systems mindset with a focus on power and performance optimization. Experience in performance modeling/verification and debugging system performance issues. Proficiency in C, SystemC, and familiarity with UNIX/Win/Linux computing platforms. Preferred Qualifications: Background in system architecture, hardware IP micro-architecture, or embedded software/firmware. Experience in image/video signal processing. Knowledge of image sensor technology and codec standards. Educational Requirements: Required: Bachelor s degree in Computer Science or Electrical & Computer Engineering. Preferred: Master s degree in a related field. Qualification : Bachelors in Computer science or Electrica

Minimum qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or equivalent practical experience. 20 years of experience with chip design flow, chip architecture, design methodologies, physical design, and verification processes. Experience in leading chip development projects. Experience in working with external ASIC vendors. Preferred qualifications: Master's degree or PhD in Engineering, or a related field. Experience with ASIC design methodologies for front quality checks (e.g., Lint, CDC/RDC, Synthesis, design for testing, ATPG/Memory BIST, UPF, and Low Power Optimization/Estimation). Knowledge of data centers and cloud markets, technological and business trends, requirements, and ecosystem partners. Ability to motivate and focus a large collaboration to reach challenging goals. Excellent communication and facilitation skills. About the job In this role, you ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You ll be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a Chip Leader, you will be responsible for overseeing the design and development of AI accelerators for our data center. You will be responsible for leading the chip design, from architecture requirements up to tape-out. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Own the chip development and execution. Accountable for Quality, Schedule and Performance, Power, Area (PPA), being the primary point of contact for day-to-day execution of chip development, planning and tracking. Coordinate the work of different disciplines, such as design, verification, and test, to ensure the chip meets all specifications and requirements. Collaborate with the leadership team of each chip project: Technical Program Manager, Design Verification lead, Physical Design lead, DFT lead, and architecture team, to make execution decisions and drive the development process. Resolve technical issues that arise during the chip development process. Ensure chip quality by implementing best practices and implementing quality control measures. Be responsible for project development with the highest quality, manage issues as they arise through design and implementation. Work with Software and Platform teams for hardware-software co-development. Qualification : Bachelors degree in Electrical Engineering, Computer Science, or equivalent practical experience.

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.

General Summary: Qualcomm is a company of inventors that has unlocked 5G, ushering in an era of rapid acceleration in connectivity and new possibilities across industries. But this is just the beginning. Qualcomm thrives on innovation and diversity, with teams made up of inventive minds from different backgrounds and cultures, all working together to transform cutting-edge technologies into world-changing products. As a GPU Functional Verification Engineer at Qualcomm, your responsibilities will involve a deep understanding of 3D Graphics hardware pipelines, feature sets, data paths, and block functionalities. You will play a key role in designing and developing verification strategies, implementing testbenches, and working on the functional verification of Qualcomm s Snapdragon SoC products. Key Responsibilities: Develop deep expertise in the 3D Graphics hardware pipeline, including feature sets, data paths, and block functionalities. Strategize, brainstorm, and propose Design Verification (DV) environments; develop testbenches and own test plans. Debug all RTL artifacts and work to achieve comprehensive signoff matrices. Collaborate with EDA vendors and explore innovative DV methodologies to push the limits of signoff quality. Partner with architecture, design, and systems teams globally to meet and exceed all project goals. Develop and execute UVM-based System Verilog testbenches for functional verification of complex GPU designs. Engage in property-based formal verification (knowledge of formal tools is a plus). Work on subsystem-level testbenches to analyze GPU workloads and ensure compliance. Utilize emulation platforms to analyze performance and identify potential pipeline bottlenecks. Perform power-aware and gate-level simulations to ensure high-quality GPU implementation. Implement Perl/Python scripts for regression management, optimizing runtimes, managing databases, and tracking bugs. Required Skills and Experience: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, VLSI, or a related field, and 2+ years of relevant experience in Hardware Engineering or Design Verification. Master s degree in a related field and 1+ year of relevant work experience, OR PhD in a related field. Minimum 3 years of experience in design verification. Strong proficiency with UVM-based System Verilog testbenches. Experience with GPU pipeline design is a plus but not mandatory. Working knowledge of property-based formal verification tools is a plus. Strong communication skills (both written and verbal) with the ability to work in a collaborative team environment. Ability to learn quickly and deliver results with high quality. Desirable Skills and Aptitudes: Experience in GPU functional verification and knowledge of 3D graphics hardware pipelines. Familiarity with emulation platforms and the ability to analyze and address performance bottlenecks. Expertise in scripting with Perl and Python for automation and optimizing verification processes. Education Requirements: Bachelor s (BE/ME) or Master s (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities. Why Qualcomm? Be a part of a passionate GPU HW team dedicated to developing industry-leading Qualcomm Snapdragon SoCs. Play a pivotal role in shaping the future of mobile AR/VR by contributing to GPU solutions that drive benchmarks in the mobile computing industry. Qualification : Bachelors (BE/ME) or Masters (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities.

Our Mission At 6sense, we aim to transform the way B2B organizations drive revenue by predicting the customers most likely to buy and guiding teams on how best to engage with anonymous buying groups. 6sense Revenue AI is the only sales and marketing platform designed to create, manage, and convert high-quality pipelines into revenue. Our Culture Our people are the foundation of 6sense. Guided by our core values of Accountability, Growth Mindset, Integrity, Fun, and One Team, we work with passion and purpose. Every team member contributes to shaping the future of our industry-leading technology. At 6sense, we empower difference-makers to take risks, act with integrity, and measure success by the value we deliver to our customers. We want your time at 6sense to be the most rewarding chapter of your career. Role Responsibilities Analyze, track, and resolve customer issues promptly to ensure exceptional client satisfaction. Perform data analysis using SQL, spreadsheets, and ad hoc methods. Identify alternative solutions when necessary and communicate them effectively to customers. Develop a comprehensive understanding of product architecture, technical components, and functionality. Assist in creating training materials to support product troubleshooting and usage. Establish and document troubleshooting procedures for new product features. Communicate clearly and effectively with customers, internal support teams, and other departments. Preferred Skills & Experience 3 6 years of customer support experience for software applications. Proficiency in SQL with 3+ years of experience. Familiarity with Marketing Automation Platforms (MAP) and CRM tools, particularly Salesforce. Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences. Proven ability to work in a team environment while achieving aggressive goals. Self-motivated, with strong prioritization and multitasking skills. Experience with Google Analytics and Salesforce integrations is a plus. Background in a SaaS environment is highly desirable. Familiarity with ticketing systems such as Zendesk and JIRA is advantageous. Our Benefits We provide comprehensive benefits for our full-time employees, including: Health coverage, paid parental leave, and generous PTO and holiday allowances. Quarterly self-care days to recharge. Stock options. Equipment and support for remote work or on-site collaboration. Access to LinkedIn Learning and other development initiatives to foster growth. Employee well-being programs, including quarterly wellness sessions and diversity-focused events. At 6sense, we celebrate our diverse team and create a supportive environment for personal and professional growth. Qualification : 3-6 years customer support experience for software applications

General Summary The Wireless R&D HW team in Bangalore is seeking experienced Wireless Modem Hardware Model Developers to work on Qualcomm s industry-leading chipset solutions, specifically focusing on modem WWAN IPs. This role involves contributing to flagship modem core IP development for 5G (NR) and 4G (LTE) technologies. Roles and Responsibilities Modem Development: Contribute to defining and developing next-generation multi-mode 5G modems. Hardware Model Development: Develop and verify hardware models for modem core IP using C++/SystemC. These models serve as golden references for RTL verification and pre-silicon firmware development (virtual prototyping). Hardware Microarchitecture: Understand and abstract hardware microarchitectures for accurate modeling. Technology Application: Work on wireless technologies such as NR, LTE, WLAN, and Bluetooth to enhance modem functionality. Signal Processing: Leverage expertise in digital signal processing to improve hardware modeling and design processes. Cross-Domain Expertise: Candidates with backgrounds in SW/FW development or DSP-based HW IP design/verification will also be considered. Required Skills and Qualifications Programming Skills: Proficient in C++ with exposure to SystemC, System Verilog, and/or MATLAB. Hardware Microarchitecture: Strong understanding of hardware microarchitectures and modeling abstraction. Wireless Technology: Working knowledge of physical layers in NR, LTE, WLAN, and Bluetooth. DSP Expertise: Experience in digital signal processing and its applications in hardware modeling or RTL design/verification. Collaboration Skills: Ability to work effectively within a multi-functional team. Preferred Experience Hands-on experience with HW modeling, design, or verification of IPs. Experience with firmware/software development in wireless IP. Technical knowledge of DSP-based HW IPs. Educational Requirements Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related fields with 2+ years of relevant work experience. Master's degree with 1+ year of relevant work experience. PhD in a related field. Why Qualcomm? Leading Innovation: Be part of a team developing cutting-edge wireless modem solutions for next-generation technologies. Diverse Opportunities: Gain exposure to multiple domains, including DSP, firmware, and hardware design. Global Impact: Contribute to solutions that drive connectivity and transform industries worldwide. Professional Growth: Work with industry leaders on groundbreaking projects with significant career development opportunities. Qualification : Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related fields with 2+ years of relevant work experience.