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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

  1. Lead cross-functional teams in building scalable AI platforms for servers/ cloud and edge.
  2. Define, Design and Develop PoCs, PoVs on recent AI/ GenAI trends and help extend TCS thought leadership.
  3. Collaborate with R&D teams of Hi-Tech clients to create business and technical skills in AI technologies.
  4. Represent TCS in client workshops, technical briefings, and industry forums.
  5. 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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Physical AI Stack (Robotics) Architect at Tata Consultancy Services | NiyukJobs