Principal Engineer

HCL Technologies Limited; California, Northern (MO, KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

HCLTech is seeking a Physical AI Engineer to build end-to-end Robotics & Agentic Systems on Google stack, integrating Gemini robotics models with foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments.

The role involves deploying models to edge devices, orchestrating cloud-to-edge workflows, and optimizing performance on TPUs and GPUs, with a strong emphasis on production-grade hardware and scalable solutions.

Qualifications

• Experience integrating robotics AI models with edge deployment.
• Familiarity with MuJoCo-Warp simulations and production-grade hardware.
• Ability to work with cloud-to-edge orchestration platforms.

Responsibilities

• Model Integration: Deploy Gemini Robotics-ER models to enable robots to understand language and causality.
• Workflow Orchestration: Build agentic workflows linking cloud reasoning with edge execution.
• Simulation & Training: Run high-fidelity simulations with MuJoCo-Warp for training on edge cases.
• Hardware Abstraction: Develop hardware-agnostic skills deployable across robotic arms and sensors.
• System Optimization: Leverage JAX/Flax/Optax for accelerator-oriented compute on TPUs/GPUs.

Skills

Python

Robotics

Edge computing

Cloud infrastructure

Deep learning / ML

Tools

Gemini 1.5/3.0

Gemini Robotics-ER

ROS 2

Python

Google Vertex AI

TPUs

MuJoCo-Warp

NVIDIA Isaac Sim

JAX

XLA

Orbax

Job description

Job Title: 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

• 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


• 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)

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.