Tech Lead Autonomous Systems

We are currently hiring for a Tech Lead – Autonomous Systems position with Tata Technologies.

Position Details

• Role: Tech Lead – Autonomous Systems 
• Experience: 4+ Years 
• Location: US / Global 
• Employment Type: Full-Time 
• Salary: $90,000 – $100,000 per year + Benefits

Role Summary

We are seeking a highly skilled Tech Lead with deep expertise in autonomous systems algorithm development and high-performance C++ implementation to lead the design, development, and deployment of advanced autonomy solutions. This is a hands-on technical leadership role requiring strong experience in real-time, safety-critical software systems, along with expertise in estimation theory, control systems, optimization, and robotics.

Key Responsibilities

•  Serve as the technical lead for autonomy algorithm development 
•  Design and implement high-performance real-time algorithms in C++ for perception, localization, sensor fusion, and control 
•  Develop and optimize Kalman Filters, SLAM, and sensor fusion algorithms 
•  Implement motion planning algorithms such as A*, RRT, and optimization-based planners 
•  Perform algorithm validation using MIL, SIL, and HIL methodologies 
•  Define and monitor performance KPIs including latency, accuracy, and robustness 
•  Integrate algorithms into embedded and ROS/ROS2-based systems 
•  Lead technical reviews, mentor engineers, and drive best practices

Required Skills

•  Strong foundation in linear algebra, probability, statistics, and optimization 
•  Expertise in Kalman filtering, SLAM, and sensor fusion 
•  Advanced C++ programming skills with real-time systems experience 
•  Python development experience 
•  Strong systems engineering, verification, and validation experience

Autonomous Systems Expertise

•  LiDAR perception and 3D mapping 
•  Computer vision and deep learning 
•  Multi-sensor fusion (LiDAR, Camera, IMU, GNSS) 
•  Path planning and autonomous control algorithms 
•  ROS / ROS2 and simulation environments 
•  Edge AI platforms, including NVIDIA Jetson

Qualifications

•  Bachelor's or Master's degree in Robotics, Artificial Intelligence, Computer Science, Electrical Engineering, or related field 
•  4+ years of experience in autonomous systems, robotics, or ADAS development 
•  Proven experience deploying production-grade autonomous algorithms

If you are interested, please share your updated resume along with your current location, work authorization status, and availability for an interview.