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Physical AI Stack (Robotics) Architect
Tata Consultancy Services(Other)
Job Publish Date: 19 hours ago
Bengaluru, IndiaFull Time15 - 25 YearsWork From OfficeSource : Foundit
Job Description
Role: Physical AI (Robotics) Stack Architect
Required Technical Skill Set:
- 2+ years of relevant work experience in Robotics/ Physical AI (ROS2, VLA models, SLAM, Nvidia COSMOS/ ISAAC)
- 10+ years of experience in product engineering (ER&D)
Desired Experience Range: 15-25 years
Location of Requirement : Hyderabad/ Bangalore
Desired Competencies (Technical/Behavioral Competency)
Must Have:
- Lead the architecture, PoCs, solutioning for the Physical AI technology stack in areas like Sim to Real and Reference architecture.
- Drive cross‑functional engineering teams to build scalable hardware‑software AI pipelines integrating perception, control, and on‑device inference.
- Experience across one or more of – CUDA, ROCm, OpenVINO, ONNX.
- Development of AI‑enhanced hardware VLA modules, low‑latency accelerators, and optimized runtime frameworks for real‑world environments.
- Establish best practices for performance tuning, model compression, safety, and reliability for AI systems interacting with the physical world.
- Engage with customers, partners, and ecosystem leaders to shape innovation, influence technology direction, and enable differentiated market offerings.
- Proven track record in architecting solutions for embedded systems, silicon platforms, or AI accelerators.
Good-to-Have:
- Evangelize open-source contributions and upstreaming efforts in compiler and AI toolchain communities.
- Experience working with semiconductor clients and OEMs on R&D and product engineering initiatives.
- Understanding of compiler toolchains (LLVM, Clang, GCC), heterogeneous computing, and AI frameworks
Role descriptions / Expectations from the Role
- Lead cross-functional teams in building scalable AI platforms for servers/ cloud and edge.
- Define, Design and Develop PoCs, PoVs on recent AI/ GenAI trends and help extend TCS thought leadership.
- Collaborate with R&D teams of Hi-Tech clients to create business and technical skills in AI technologies.
- Represent TCS in client workshops, technical briefings, and industry forums.
- Develop and present case studies, technical decks, and GTM strategies for semiconductor and OEM clients.
Key Skills
CudaISAACNvidia COSMOSONNXOpenVINOPhysical AIRoboticsROCmROS2SLAMVLA models
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