Robotics Engineer

L&T Technology Services; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

L&T Technology Services in Santa Clara, CA seeks a senior leader to drive AI-enabled robotic and autonomous systems across multiple sectors, from simulation to field deployment. You will steer the CoE’s embodied AI agenda, collaborating with Multimodal AI, Computer Vision, and Language Model teams while mentoring engineers to deliver reusable ROS 2 modules.

Requirements include 8–15 years in robotics, a Master's/PhD in a related field, and expert skills in C++, Python, ROS 2, SLAM, and

Qualifications

• Master's or PhD in Robotics, Mechanical, Electrical, CS, Mechatronics, or related field.
• 8–15 years in robotics, including 4+ years building AI-enabled or autonomous systems.
• Proven prototype-to-deployment record; industrial, construction, or energy experience preferred.
• Strong C++ and Python; deep ROS / ROS 2 experience.
• Expertise in SLAM, motion planning, kinematics, dynamics, and control.
• Hands-on RL, imitation learning, or VLA models (e.g., RT-2, OpenVLA, π0).
• Experience with Isaac Sim, Gazebo, MuJoCo, and NVIDIA Jetson; knowledge of functional safety and real-time systems.

Responsibilities

• Architect autonomous and semi-autonomous systems across multiple domains (construction, manufacturing, infrastructure, energy, defence).
• Lead field pilots at sites, ensuring safety and ISO/IEC/IEC standards alignment.
• Mentor engineers and contribute reusable ROS 2 modules across CoE.
• Partner with NVIDIA, academia, and business units to scale solutions.

Skills

C++

Python

ROS 2

SLAM

Motion planning

Robotics

RL

VLA models

Simulation

Education

Master's or PhD in Robotics/related field

Tools

Isaac Sim

Gazebo

MuJoCo

NVIDIA Jetson

Job description

Location: Santa Clara, California | Reports to: Head, AI Center of Excellence

Scope: L&T Group-wide, United States and India| Headcount: 2 |Experience: 8–15 years

About the Role

Lead AI-enabled robotic and autonomous systems across L&T's construction, manufacturing, infrastructure, energy, and defence businesses. Drive the CoE's embodied AI agenda from simulation to field, working with the Multimodal AI, Computer Vision, and Language Model teams.

Key Responsibilities

• Architect autonomous and semi-autonomous systems: mobile robots, manipulators, drones, and inspection robots.
• Apply RL, imitation learning, and VLA models to manipulation and navigation, with sim-to-real pipelines.
• Build high-fidelity simulation environments and digital twins (Isaac Sim, Gazebo, MuJoCo); generate synthetic training data.
• Lead field pilots at construction sites, factories, and plants, meeting ISO 10218, ISO 13482, and IEC 61508 requirements.
• Partner with business units, OEMs, NVIDIA, and academia; mentor engineers and contribute reusable ROS 2 modules.

First 12 Months

• Robotics and embodied AI roadmap for priority L&T businesses.
• 2–3 proofs of concept, including at least one field pilot.
• ROS 2-based robotics software stack published to the CoE repository.

Required Qualifications

• Master's or PhD in Robotics, Mechanical, Electrical, Computer Science, Mechatronics, or a related field.
• 8–15 years in robotics, including 4+ years building AI-enabled or autonomous systems.
• Proven prototype-to-deployment record; industrial, construction, or energy experience preferred.
• Strong C++ and Python; deep ROS / ROS 2 experience.
• Expertise in SLAM, motion planning, kinematics, dynamics, and control.
• Hands-on RL, imitation learning, or VLA models (e.g., RT-2, OpenVLA, π0).
• Experience with Isaac Sim, Gazebo, MuJoCo, and NVIDIA Jetson; knowledge of functional safety and real-time systems.

Success Measures

Measured by solutions piloted and scaled, productivity and safety gains, system uptime, and reusable CoE assets.