Autonomous Systems Engineer

Tata Technologies Ltd.; Frederick (MD); On-site; USD 150,000 - 210,000; Full time

Job summary

Tata Technologies Ltd. seeks a Tech Lead to spearhead autonomy algorithm development for advanced platforms. You will lead design, development, and deployment of real‑time, safety‑critical systems in C++ with a strong emphasis on estimation, control, and optimization.

The role requires hands-on implementation experience in C++, with expertise in Kalman filtering, SLAM, sensor fusion, and motion planning. Mentorship and cross‑functional collaboration are key components of the position.

Qualifications

• Hands-on experience in C++ for real-time, safety-critical systems.
• Strong background in autonomy algorithms and estimation theory.
• Ability to mentor teams and perform code reviews.

Responsibilities

• Act as the technical authority for autonomy algorithm development in C++.
• Design and implement high-performance, real-time algorithms for perception, localization, sensor fusion, and control.
• Develop Kalman Filters, SLAM, and sensor fusion algorithms.
• Optimize algorithms for real-time embedded platforms.
• Drive motion planning algorithms (A*, RRT, optimization-based).
• Define performance KPIs such as latency, accuracy, and robustness.
• Integrate algorithms into embedded and ROS-based systems.
• Mentor teams and conduct algorithm and code reviews.

Skills

C++

Real-time systems

Autonomy algorithms

Kalman filtering

Sensor fusion

SLAM

Motion planning

Embedded systems

ROS

Mathematics

Tools

ROS Tools

Job description

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 for autonomous platforms. This role is strongly implementation-driven, requiring hands-on experience in C++ for real-time, safety-critical systems, combined with strong foundations in mathematics, estimation theory, control systems, and optimization.

Key Responsibilities:

• Act as the technical authority for autonomy algorithm development in C++
• Design and implement high-performance, real-time algorithms in C++ for perception, localization, sensor fusion, and control
• Develop Kalman Filters, SLAM, and sensor fusion algorithms
• Optimize algorithms for real-time embedded platforms
• Drive motion planning algorithms (A*, RRT, optimization-based)
• Define performance KPls such as latency, accuracy, and robustness
• Integrate algorithms into embedded and ROS-based systems
• Mentor teams and conduct algorithm and code reviews