Autonomous Systems Engineer

Tata Technologies; Frederick (MD); On-site; USD 140,000 - 170,000; Full time

Job summary

Tata Technologies is seeking a highly skilled Tech Lead to guide the design, development, and deployment of autonomy solutions for autonomous platforms. You will work hands-on in real-time, safety-critical C++ environments.

The role emphasizes implementation-driven leadership with strong foundations in mathematics, estimation, control, and optimization, as you mentor teams and drive advanced autonomy initiatives.

Qualifications

• Proven experience in autonomy algorithm development in C++.
• Strong background in perception, localization, and sensor fusion.
• Hands-on work on real-time, safety-critical systems.

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 methods
• 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

Autonomy algorithms

Sensor fusion

Kalman filters

ROS

Embedded systems

Motion planning

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