Lead Robotics Engineer: Autonomous Systems & AI

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

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