Systems Programming Jobs in Bengaluru

Position: Software/Embedded Developer Location: Bengaluru Employment Type: Full-Time Job Overview We are seeking a motivated and skilled Software/Embedded Developer to design, develop, and implement **embedded solutions** for our 3D printer systems. This role focuses on enhancing UI/UX interfaces, communication protocols, and hardware integration for embedded platforms. Key Responsibilities Embedded Development: Design and develop embedded applications using **Python and/or C++**. UI/UX: Build intuitive **UI/UX interfaces using Qt** for embedded platforms. Communication: Implement and maintain **web socket communication** for device connectivity. Functionality Enhancement: Develop and integrate **plugins** to enhance product functionality. Version Control: Use version control systems (**GitHub**) for code management and collaboration. Microcontroller Interfacing: Program and interface with **Raspberry Pi and Atmega-based microcontrollers**. Hardware Integration: Collaborate with hardware engineers to integrate software with 3D printer electronics. Testing & Optimization: Debug, test, and optimize embedded applications to ensure system reliability and performance. Code Quality: Participate in **code reviews** and provide feedback on system design and implementation. Required Qualifications & Skills Education: Bachelor s degree in Electronics, Computer Science, or a related field (**Freshers welcome**). Experience: Proven experience in embedded systems development. Core Programming: Proficiency in **Python and/or C++**. GUI Framework: Hands-on experience with **Qt framework** for GUI development. Design: Strong understanding of **UI/UX principles**. Technical Tools: Experience with **web sockets, plugin development, and version control systems (GitHub)**. Hardware Platforms: Practical knowledge of working with **Raspberry Pi and Atmega microcontrollers**. Domain Knowledge: Familiarity with **3D printing technology** is a strong advantage. Soft Skills: Excellent **problem-solving and debugging skills**; strong communication and teamwork abilities. Qualification : Bachelors degree in Electronics, Computer Science, or a related field

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Technical Project Manager Location: Bangalore Experience: 7 10 Years Education: B.E / B.Tech / M.E / M.Tech (Electronics, Electrical, Computer Science, or related field) Job Summary We are looking for a Technical Project Manager with a strong background in embedded software development, preferably within the automotive domain, to lead cross-functional teams and manage full-cycle project execution. The ideal candidate will be hands-on, highly organized, and experienced in SDLC methodologies such as ASPICE, CMMI, or similar standards. This role requires a blend of technical acumen and project management expertise to drive delivery excellence and ensure high-quality outcomes. Key Responsibilities Project Management Lead and manage end-to-end embedded software projects. Define project scope, timelines, milestones, and deliverables. Manage project estimation, planning, resource allocation, and tracking. Ensure adherence to project management best practices, including Agile or Waterfall methodologies as applicable. Quality & Compliance Ensure projects comply with quality standards such as ASPICE, CMMI, or equivalent. Facilitate regular audits, reviews, and assessments to meet compliance objectives. Technical Oversight Support embedded software teams through planning, design, development, testing, and deployment phases. Provide guidance on programming practices, particularly in C language, and software testing methodologies. Risk & Change Management Identify, assess, and manage project risks proactively. Drive structured change management and configuration control processes throughout the project lifecycle. Team Leadership & Communication Build, lead, and motivate cross-functional project teams. Act as the primary point of contact between engineering, quality assurance, and leadership. Ensure timely and transparent communication across all stakeholders. Required Skills & Experience 7 10 years of experience in embedded software development, including 3+ years in a project management or technical leadership role. Strong understanding of Software Development Life Cycle (SDLC) processes. Hands-on experience with programming in C and embedded systems. Familiarity with software testing strategies, unit testing, and integration testing. Proactive communication, stakeholder engagement, and conflict resolution skills. Proven ability to manage multiple projects and prioritize effectively. Strong team-building and leadership skills. Preferred/Added Advantage Experience in the automotive domain (preferred). Exposure to automotive standards such as AUTOSAR, ISO 26262 is a plus. Experience with project management tools and techniques (e.g., Jira, MS Project, Gantt charts). Be part of an innovative team working on next-generation embedded solutions. Collaborate with global clients and multidisciplinary teams. Gain exposure to best-in-class quality standards and project management frameworks. Competitive compensation and career advancement opportunities. Qualification : B.E / B.Tech / M.E / M.Tech (Electronics, Electrical, Computer Science, or related field)

Functional Safety Engineer Location: Bangalore Experience: 3 6 Years Education: B.E / B.Tech / M.E / M.Tech in Electronics, Electrical, Computer Science, or a related field Job Summary We are seeking a skilled and motivated Functional Safety Engineer to join our automotive embedded systems team. The ideal candidate will have hands-on experience with ISO 26262, strong embedded C programming knowledge, and a solid understanding of the software development lifecycle. This role is critical in ensuring that all safety-critical systems are developed in compliance with industry safety standards and regulations. Key Responsibilities Develop and maintain the Functional Safety Management System (FSMS) in line with ISO 26262 standards. Conduct hazard analysis and risk assessments (HARA) for automotive embedded systems. Define, allocate, and manage functional and technical safety requirements across hardware and software components. Support and guide development teams in achieving ASIL (Automotive Safety Integrity Level) compliance. Collaborate with hardware and software teams to ensure safety mechanisms are implemented and validated effectively. Prepare and maintain safety-related documentation, including Safety Plans, Safety Cases, and Safety Analyses (FMEA, FTA, DFA, etc.). Ensure traceability of safety requirements throughout the SDLC, using appropriate tools and processes. Participate in reviews, audits, and assessments to ensure continuous compliance with ISO 26262. Support safety validation and verification activities. Required Skills & Experience 3 6 years of experience in Functional Safety Engineering, with a minimum of 2+ years working specifically with ISO 26262. Proficient in Embedded C programming, with exposure to real-time embedded systems. Strong understanding of the Software Development Life Cycle (SDLC) in safety-critical environments. Good analytical and problem-solving skills. Effective communication and collaboration skills to work with cross-functional teams. Preferred / Added Advantage Experience in the automotive domain (e.g., ADAS, powertrain, or body control modules). Familiarity with automotive communication protocols (CAN, LIN, FlexRay). Exposure to toolchains like DOORS, Polarion, or Jama for requirement and safety management. Knowledge of complementary standards such as ISO 21434 (Cybersecurity) or IEC 61508. Work on innovative and safety-critical projects for global automotive clients. Opportunity to deepen your expertise in functional safety and ISO 26262. Collaborate with a high-caliber team in a technically driven environment. Competitive compensation, learning opportunities, and career advancement paths. Qualification : .E / B.Tech / M.E / M.Tech in Electronics, Electrical, Computer Science, 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: Embedded Developer Location: Bangalore Experience: 2 5 Years Responsibilities Debug embedded systems efficiently to identify and resolve issues. Develop embedded software for microprocessor/microcontroller-based systems. Design, develop, test, and maintain embedded software modules. Work independently with guidance from the business team to meet product objectives. Take ownership of planning and delivering components/modules within schedule and quality standards set by the product owner. Design and build highly scalable, available, and resilient cloud solution architectures related to embedded systems. Demonstrate strong analytical skills and proactively learn new technologies to enhance product capabilities. Requirements Proficient in C/C++ programming for embedded systems development. Experience in developing SDKs and libraries using C/C++. Strong Linux programming skills. Familiarity with V4L2 and LibCamera libraries. Hands-on experience in developing device drivers. Experience programming on RTOS (Real-Time Operating Systems). Proven track record in designing, coding, and testing embedded systems. Practical experience working with hardware platforms such as Raspberry Pi and other microcontroller-based boards. Excellent debugging skills for embedded software. Working knowledge of communication protocols: SPI, UART, I2C. Experience with image processing libraries such as OpenCV. Knowledge of software release management processes. Familiarity with source code management tools like GitHub and Bitbucket. Experience using CI/CD tools such as Jenkins for automated build and deployment.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

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.

Junior Engineer - Distributed Control Systems (DCS) Location: Bengaluru Experience: 0 - 2 Years Openings: 1 About the Role: As a Junior DCS Engineer, you'll report to the Assistant Manager Engineering Services. Your primary purpose will be to support the complete product lifecycle for DCS applications, focusing on software application development, hardware programming, and crucial commissioning and testing activities. This is a hands-on technical role ideal for someone looking to build their expertise in industrial automation, requiring both analytical skills and a readiness to travel. What You'll Do: HMI Graphic Development: Develop and design Human-Machine Interface (HMI) graphics for DCS systems, ensuring intuitive and effective user interfaces. DCS Software Development: Assist with and learn to develop and program software applications for Distributed Control Systems, with a focus on ABB 800xA. System Programming & Commissioning: Participate in the programming, commissioning, and testing of 800xA systems on-site, gaining practical experience in live environments. Project Lifecycle Support: Support the team across the entire project lifecycle, from initial software development through to final commissioning. Travel: Be prepared to travel to customer sites across India for commissioning activities as needed. What We're Looking For: Educational Qualification: A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication. Experience: Candidates with 0-2 years of experience in industrial automation, control systems, or relevant project work will be considered. Technical Skills: Good analytical skills to understand and troubleshoot system functionalities. An understanding of the complete project lifecycle from software development to commissioning, especially in ABB 800xA, is highly beneficial. Willingness to learn and grow in a technical environment. Software Proficiency: Strong knowledge of Microsoft Office, Excel, and PowerPoint. Communication: Strong 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. If you're a recent graduate or early-career engineer with a passion for DCS systems and eager to launch your career in industrial automation, we encourage you to apply! Qualification : A Bachelor's degree in Electrical and Electronics Engineering (EEE), Instrumentation, Electronics, or Electronics & Communication

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.

Job Title: Automation & Instrumentation Engineer Location: Bengaluru Role and Responsibilities Electrical Integration: Integrate CyRo s electrical systems (power supplies, sensors, actuators) with customer equipment and facilities, ensuring seamless compatibility and reliability. Design and implement custom electrical interfaces such as harnesses, connectors, and junction boxes to connect CyRo systems with customer-specific infrastructure (e.g., conveyors, AMRs, SCADA). Configure and validate CyRo s Industrial PC (IPC) and control systems to enable smooth communication with customer devices and networks. Sensor and Actuator Configuration: Configure, calibrate, and optimize CyRo s sensors (vision systems, force-torque sensors) and actuators (grippers, motion controllers, robotic arms) to fulfill application-specific needs. Troubleshoot sensor and actuator performance during integration to ensure alignment with customer workflows. Safety and Compliance: Design and implement safety-rated electrical systems including emergency stop circuits, light curtains, and safety interlocks, adhering to industry standards such as ISO 13849 and IEC 61508. Conduct risk assessments and incorporate protective components like fuses, circuit breakers, and relays to guarantee system safety and reliability. Deployment and Commissioning Support: Support deployment and commissioning of CyRo systems in customer environments, ensuring proper electrical integration and functionality. Diagnose and resolve electrical issues onsite, collaborating with customer teams and internal stakeholders. Assist in validation tests to confirm system performance and compliance in real-world scenarios. Documentation and Training: Prepare detailed documentation including electrical schematics, wiring diagrams, and integration guides for customers. Develop and conduct training sessions for customer teams on operation, maintenance, and troubleshooting of CyRo electrical systems. Maintain accurate records of integration designs, test results, and customer feedback to drive continuous improvement. Skills and Experience Strong proficiency in electrical system design covering wiring, connectors, and power distribution. Experience integrating robotic and automation machinery within industrial customer environments. Hands-on expertise with industrial sensors (vision, force-torque) and actuators (grippers, motion controllers, robots). Solid understanding and implementation experience of industrial communication protocols such as EtherCAT, Modbus, TCP/IP. Familiarity with safety-rated electrical systems and relevant industry standards (ISO, IEC, OSHA). Experience configuring and integrating IPCs, PLCs, and similar control hardware. Proven troubleshooting and optimization skills in live industrial settings. Excellent communication and teamwork abilities for cross-functional collaboration and client interactions. Required Qualifications Bachelor s or Master s degree in Electrical Engineering, Mechatronics, or related disciplines. Minimum 3 years experience in electrical systems design, automation, and system integration. Strong knowledge of industrial communication protocols, safety compliance, and electrical design fundamentals. Demonstrated success in deploying and integrating automation systems in industrial environments. Additional Preferred Qualifications Experience with cobots and industrial robotic arms. Familiarity with LabVIEW and C++ programming. Knowledge of integration with enterprise systems such as WMS, OMS, ERP. Experience with IIoT devices and SCADA systems. Qualification : Bachelors or Masters degree in Electrical Engineering, Mechatronics, or related disciplines.

Artificial Intelligence Engineer Experience: 3 - 8 Years Location: Bangalore (Work from Office) Job Overview We are seeking a talented and experienced Artificial Intelligence Engineer to join our dynamic team. You will be responsible for designing, training, and deploying advanced AI and machine learning models to solve complex business problems. The ideal candidate will have strong expertise in Python, deep learning frameworks, and handling large datasets, coupled with the ability to integrate AI solutions seamlessly into existing systems. Technical Skills Proficiency in programming languages such as Python, R, or Java. Strong experience with machine learning algorithms (regression, classification, clustering). Hands-on expertise with deep learning frameworks like TensorFlow and PyTorch. Skilled in data manipulation, cleaning, and preprocessing techniques. Experience integrating AI models into existing applications and systems. Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment. Preferred Skills Proficiency in Python with NLP libraries such as OpenAI s GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning methodologies. Experience with Retrieval-Augmented Generation (RAG) to enhance AI responses. Ability to develop and host APIs (preferably on IIS). Basic understanding of SQL and expertise in training, tuning, and deploying models leveraging SQL databases. Benefits Flexible working hours Learning and development opportunities Medical and insurance benefits Company Core Values Positive attitude and collaborative approach to achieving team goals. Clear and respectful communication skills (verbal and written). Emphasis on teamwork over individualism it s all about the we , not the me **. Growth mindset with a commitment to continuous learning and skill improvement. About In4Velocity Since 2004, In4Velocity has been a trusted partner for real estate, construction, and infrastructure companies, helping streamline their operations through innovative technology. Our flagship product, In4Suite , provides a comprehensive, unified ecosystem connecting all aspects of real estate organizations for a full 360-degree view. Supported by a powerful Business Intelligence system and unparalleled global support, our product is the go-to platform for digital transformation in real estate development and construction management worldwide. Join us to be part of a pioneering force driving innovation and progress in the real estate domain.

Principal Software Engineer StoreFront Team Location: Bangalore, Karnataka Hybrid Work (2 3 days in office/week) Experience: 10 14 Years About the Role Swiggy is looking for an experienced Principal Software Engineer to join our StoreFront Engineering team. This team is at the heart of Swiggy s customer experience across all major business lines Food, Instamart, Genie, and Stores. You will play a critical role in building highly scalable systems that power personalized discovery, seamless ordering, efficient payments, and data-driven merchandising for millions of users. About the Team The StoreFront team develops intelligent and robust systems including: Intent-driven merchandising and smart cataloging Relevance-based search and checkout management Multi-tenant payment platforms and Swiggy Money wallet integrations Scalable solutions supporting millions of transactions per day with 99.95% uptime What You Will Do Architect, design, and operate high-scale, distributed, low-latency systems with real-time capabilities. Lead development and expansion of Swiggy s multi-tenant ordering, payments, and wallet platforms across multiple verticals. Define and execute the long-term technology vision across the StoreFront organization. Make key technology and tool decisions to improve scalability, efficiency, and maintainability. Write and review code, contribute to system design, and drive end-to-end implementation and delivery. Act as a technical mentor and guide engineering best practices, including architectural reviews, coding standards, and operational excellence. 10 14 years of software development experience, with a proven track record of building and scaling high-performance, distributed systems. Strong proficiency in programming languages like Java or Golang (required). Deep understanding of data structures, algorithms, and design patterns. Hands-on experience with real-time systems, multi-tenant architectures, and microservices. Experience building platforms that serve millions of daily active users at scale. Familiarity with Swiggy s technology stack (e.g., Redis, Kafka, AWS, MySQL, NoSQL, Kubernetes) is a plus. Knowledge of machine learning and predictive modeling is a strong advantage. Strong analytical, problem-solving, and communication skills. This is a high-impact, high-ownership opportunity to influence core customer-facing systems in one of India s largest tech-first consumer platforms. You will be working with world-class engineers and leaders, solving complex challenges, and contributing to a product used by millions every day. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, religion, gender, sexual orientation, age, disability, or any other legally protected characteristics.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Senior Engineer AI/ML, C/C++ Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary As a Qualcomm Software Engineer, you will design, develop, modify, and validate embedded and edge cloud software or specialized utility programs that launch cutting-edge, world-class products. Collaboration is key in this role, working across systems, hardware, test, and architecture teams to meet software performance and interface requirements. About the Role We are seeking a talented AI/ML Engineer with a solid background in AI/ML, C/C++, and operating systems. The ideal candidate has 3 to 5 years of experience in machine learning development and implementation and will be responsible for building and deploying AI gateway solutions that promote innovation and operational efficiency. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or related field. 3 to 5 years of experience in AI/ML development. Technical Skills Strong proficiency in C and C++ programming. Deep understanding of operating system internals and functions. Experience with ML frameworks like TensorFlow, PyTorch, or equivalent. Strong grasp of data structures, algorithms, and software design patterns. Experience in data preprocessing techniques and related tools. Familiarity with Git and version control best practices. Soft Skills Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Self-motivated with the ability to work independently and as part of a team. Adaptable and eager to stay updated with evolving technologies. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Software Development Manager CephFS Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: Senior / Leadership Company: IBM Ceph Engineering Team Education: Bachelor s Degree (Master s preferred) Introduction: At IBM, we re not just redefining business we re redefining what s possible through technology, collaboration, and innovation. As one of the world's leading technology companies, IBM is transforming industries through the power of AI, Cloud, Analytics, Security, and IoT. With a presence in over 170 countries, we bring together diverse minds to solve complex challenges and build a smarter future. Join IBM s Ceph Engineering Organization and be a part of shaping the future of software-defined distributed storage. We're looking for an experienced and visionary Software Development Manager to lead the CephFS team the group responsible for the file system layer of the Ceph ecosystem. About the Role: As a Software Development Manager for CephFS, you ll play a key leadership role in designing, developing, and delivering new capabilities in CephFS, the scalable and highly available POSIX-compliant distributed file system built atop Ceph. You ll lead a global team of engineers, working in an open-source community, to develop enterprise-grade storage solutions for modern workloads. You will focus on building next-generation distributed file system features like instant cloning, file overlays, coherent snapshots, and advanced client-side caching. This role is a mix of hands-on technical leadership and people management, with strong collaboration across open-source communities, IBM product teams, and clients. Key Responsibilities: Lead and mentor a team of talented engineers working on CephFS. Drive the design and implementation of new distributed features and algorithms for file system scalability, performance, and resiliency. Collaborate with the global Ceph open-source community to contribute and review code, resolve issues, and plan new features. Guide the team in debugging complex production issues, both live and offline. Collaborate with client-facing and support teams to perform root cause analysis for customer-reported issues. Contribute to the architecture and roadmap of CephFS in alignment with product and client needs. Engage in code reviews, triaging, and architectural discussions. Promote engineering best practices and a culture of continuous improvement. Required Skills & Experience: Bachelor s degree in Computer Science or related field. Strong experience working with C++ or other systems programming languages. Excellent debugging skills (live system and core file analysis). Hands-on experience in open-source development (preferably with contributions to GitHub). Good understanding of large-scale codebases and the ability to design and implement major features or changes. Comfortable working with Python for automation and testing. Proficiency with Git and GitHub workflows. Excellent verbal and written English communication skills to coordinate with a distributed, global team. Proven ability to mentor and support engineers while driving technical excellence. Preferred Qualifications: Master s degree in Computer Science or related field. Experience in building or maintaining file systems or distributed storage platforms. Prior work in distributed systems, high-performance computing, or cloud-native storage. Experience working in remote/distributed teams. Familiarity with systems like OpenStack, Kubernetes, or NFS-Ganesha. Work with world-class engineering teams on products that power global enterprise infrastructure. Be part of a vibrant open-source community, contributing to widely adopted storage technologies. Enjoy a culture of continuous learning, innovation, and impact. Competitive salary, benefits, and flexible work arrangements. Be essential. Be a leader in redefining how the world stores and accesses data. Apply today to join IBM s CephFS team and help build the future of enterprise file storage. Qualification : Bachelors degree in Computer Science or related field.

Job Title: Senior Networking Developer (System/Protocol Level) Location: Bangalore Experience: 6+ Years Job Overview We are seeking an experienced Senior Networking Developer with deep expertise in developing, optimizing, and troubleshooting high-performance networking systems and protocol stacks. In this role, you will be responsible for designing, implementing, and maintaining network solutions at both the system and protocol levels, focusing on high efficiency and performance in modern networking environments. Key Responsibilities Networking Protocol & System Development: Design and implement networking protocols at the system level, ensuring efficient, high-performance networking solutions. Protocol Stack Development: Work with L2/L3 protocols (Ethernet, ARP, IP, ICMP) and L4 protocols (TCP, UDP), enhancing their implementation and performance. Advanced Networking: Leverage your knowledge of advanced networking concepts such as Quality of Service (QoS), load balancing, and multicast to improve network performance and scalability. Linux Networking Subsystems: Contribute to the optimization and development of Linux networking subsystems like netfilter, iptables, and eBPF. Kernel-Level Development: Work on kernel-level networking stack optimization, focusing on high-performance and low-latency solutions. Troubleshooting & Debugging: Use network diagnostic tools (Wireshark, tcpdump, strace, gdb) to troubleshoot and resolve issues at all OSI layers, ensuring network reliability and performance. Collaboration: Collaborate with cross-functional teams to address complex networking challenges and implement solutions that meet business and technical objectives. Required Skills & Qualifications Technical Expertise: Strong experience in networking protocol or system-level development. Proficiency in C or C++ for low-level systems programming and optimization. In-depth knowledge of networking protocols, including L2/L3 (Ethernet, ARP, IP, ICMP) and L4 (TCP, UDP). Familiarity with advanced networking concepts such as QoS, load balancing, and multicast. System-Level Knowledge: Experience with Linux networking subsystems, such as netfilter, iptables, and eBPF. Hands-on experience in kernel-level networking stack development and optimization. Debugging & Analysis: Expertise with network diagnostics tools like Wireshark, tcpdump, strace, and gdb. Strong troubleshooting skills at all OSI layers. Preferred Skills High-Performance Networking: Experience with high-performance networking technologies to enhance scalability and network throughput. Programmable Network Devices: Experience working with programmable network devices and integrating them into modern network architectures. SDN (Software-Defined Networking): Familiarity with SDN controllers and protocols like OpenFlow, and their integration in modern networking solutions. As a Senior Networking Developer, you will be at the heart of building cutting-edge networking solutions, contributing to high-performance network infrastructures. This role offers the opportunity to work with the latest networking technologies in a dynamic and collaborative environment. If you're passionate about networking and system-level programming, we encourage you to apply.

Position Overview: Android Middleware Technical Lead We are looking for a highly skilled Android Middleware Technical Lead with expertise in Android Automotive to join our team. This role involves leading the design and development of next-generation Software-Defined Vehicle (SDV), eCockpit, and Infotainment systems based on Android Automotive. As a technical lead, you will work closely with cross-functional teams to architect and develop innovative solutions for Android-based automotive systems. You should have hands-on experience in areas such as Audio, Connectivity, Media, Graphics, Projection, Bluetooth, or Camera, along with a deep understanding of Android Automotive System and Car Framework. Key Responsibilities: Middleware/Platform Architecture: Lead the design and development of Android Automotive middleware/platform solutions for SDV, eCockpit, and Infotainment systems. Hands-on Development: Take an active role in hands-on development, ensuring the Android Automotive system components are well-architected and meet performance, scalability, and quality standards. Android Automotive Expertise: Apply your deep understanding of Android Automotive, AOSP, and HAL to deliver robust middleware solutions, working closely with cross-functional teams (e.g., hardware, media, connectivity). System Integration: Integrate Android Automotive components with hardware interfaces and third-party systems in a vehicle environment, ensuring seamless interaction between various subsystems. Emulator/Platform Tools: Work with automotive-specific emulators such as Goldfish or Cuttlefish for testing and validation of the Android Automotive systems. Build and Development Systems: Ensure the Android build system is properly managed, maintaining the Android Automotive software stack. Leadership and Mentorship: Provide technical leadership and mentorship to junior engineers, helping them develop solutions and navigate complex technical challenges. Essential Skills: Infotainment Systems: Extensive experience in Infotainment systems and developing software for automotive applications. Android Automotive & AOSP: In-depth knowledge of Android Automotive system architecture, AOSP, and HAL (Hardware Abstraction Layer). Android Middleware Development: Hands-on experience developing and maintaining Android Middleware for automotive platforms. Automotive Systems Expertise: A strong understanding of Automotive systems and industry standards relevant to SDV, eCockpit, and Infotainment systems. Programming Languages: Proficient in Java and Kotlin for Android platform and middleware development. Preferred Skills: C++ Programming: Experience in C++ programming for automotive platforms. Hands-on Emulator Experience: Familiarity with Goldfish or Cuttlefish emulators for testing Android Automotive applications. This is an exciting opportunity for an experienced technical leader with a passion for Android Automotive to shape the future of automotive middleware and platform development. If you have a deep understanding of Android systems, automotive platforms, and enjoy leading cross-functional teams to build high-performance systems, we encourage you to apply!