Platform Engineer III

HCL Technologies Limited; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

HCL Technologies Limited is seeking a Physical AI Engineer (Robotics & Agentic Systems) to build and deploy Physical AI solutions on Google stack, integrating DeepMind Robotics models with Gemini foundation models to create autonomous agents. You will move from simulation (MuJoCo-Warp) to production hardware at scale.

You will work with Intrinsic Flowstate, ROS 2, Python, and JAX/Optax, deploying skills across robotic arms and sensors while optimizing performance on TPUs and GPUs.

Qualifications

• Experience integrating AI models with robotics on edge/hardware platforms.
• Ability to deploy embodied reasoning models to robotic systems.
• Familiarity with simulation-to-production workflows and high-fidelity environments.

Responsibilities

• Model Integration: Deploy Gemini Robotics-ER models to enable robots to understand natural language and physical causality.
• Workflow Orchestration: Build agentic workflows connecting cloud-based reasoning with edge execution.
• Simulation & Training: Run high-fidelity simulations to generate data for edge robotics.
• Hardware Abstraction: Develop hardware-agnostic robotic skill implementations for multiple arms/sensors.
• System Optimization: Use JAX/Flax/Optax for efficient computations on TPUs/GPUs.

Skills

Robotics

Edge AI

Python

Problem solving

Tools

Intrinsic Flowstate

ROS 2

MuJoCo-Warp

JAX

XLA

Orbax

G4 VMs

NVIDIA Blackwell

Job description

City and County of San Francisco, California

Job Summary

Physical AI Engineer (Robotics & Agentic Systems)

We are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on Google stack. You will integrate Deepmind Robotics model 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

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

Technical Requirements

Category Stack Components

Software Platform Intrinsic Flowstate, ROS 2 (Robot Operating System), Python

Data & ML JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.