At a Glance
- Tasks: Build cutting-edge Physical AI solutions using Robotics and edge devices.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Enjoy personal time off, education resources, and career advancement opportunities.
- Other info: Be part of a purpose-driven team with exciting growth potential.
- Why this job: Make a real impact by creating autonomous agents in dynamic environments.
- Qualifications: Experience with robotics, AI models, and software development required.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on the Google stack. You will integrate DeepMind Robotics models with Gemini 3 foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments. Your work will involve moving Physical AI from simulation (MuJoCo-Warp) to production‑grade hardware at scale.
Key Responsibilities
- Model Integration: Deploy Gemini Robotics-ER (Embodied Reasoning) models to enable robots to understand natural language instructions and physical causality.
- Workflow Orchestration: Utilize the Gemini Enterprise Agent Platform to build agentic workflows that connect cloud‑based reasoning with edge‑based execution.
- Simulation & Training: Use MuJoCo-Warp and G4 VMs (NVIDIA Blackwell) to run high‑fidelity simulations, generating synthetic data to train robots on complex edge cases.
- Hardware Abstraction: Work within Intrinsic Flowstate to develop hardware‑agnostic “Skills” (robotic behaviors) that can be deployed across various robotic arms and sensors (Universal Robots, Foxconn, etc.).
- System Optimization: Implement the JAX AI Stack (JAX, Flax, Optax) for efficient, accelerator‑oriented computation on Google TPUs and NVIDIA GPUs.
Skill Requirements
- Foundation Models: Gemini 1.5/3.0, RT-2 (Robotics Transformer), Gemini Robotics-ER
- Software Platform: Intrinsic Flowstate, ROS 2 (Robot Operating System), Python
- Compute & Infra: Google Cloud Vertex AI, Google Distributed Cloud (Edge), TPUs
- Physics Engines: MuJoCo-Warp, NVIDIA Isaac Sim integration
- Data & ML: JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)
Benefits
- Personal time off
- Maternity and paternity benefits
- Access to skills/higher education programs and resources
- Discounts on products and services via Benefit Box
- Participation in CSR programs and live life with a purpose
- Opportunities to grow and advance your career
Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.
Principal Engineer in London employer: HCL Technologies Limited
As a Principal Engineer at our cutting-edge company, you will be part of a dynamic team that thrives on innovation and collaboration in the field of Physical AI and Robotics. We offer a supportive work culture that prioritises personal growth, with access to skills development programs and opportunities for career advancement. Located in a vibrant tech hub, our employees enjoy a range of benefits including generous personal time off, family leave, and participation in meaningful CSR initiatives, making us an exceptional employer for those seeking impactful and rewarding work.
