Autonomous Systems Engineer

Role Summary

We are seeking a highly skilled Tech Resource with deep expertise in autonomous systems algorithm development to lead the design, development, and deployment of advanced autonomy solutions for Autonomous Ground Vehicles (AGVs) and autonomous platforms. This role is algorithm-centric, requiring strong foundations in mathematics, estimation theory, control theory, optimization, and AI/ML, combined with system-level integration capability.

Key Responsibilities

Act as the technical authority for autonomy algorithm development

Design and develop perception, localization, planning, and control algorithms

Develop Kalman Filters, SLAM, and sensor fusion algorithms

Optimize algorithms for real-time embedded platforms

Drive motion planning algorithms (A*, RRT, optimization-based)

Develop control strategies (PID, MPC)

Perform algorithm validation using MIL, SIL, HIL

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

Mandatory Skills

Strong foundation in linear algebra, probability, statistics, and optimization

Expertise in Kalman filtering, SLAM, and sensor fusion

Experience in real-time algorithm implementation (C++, Python)

Strong systems engineering and V&V experience

Core Skills – Autonomy Domain

LiDAR perception and 3D mapping

Computer vision and deep learning

Sensor fusion (LiDAR, Camera, IMU, GNSS)

Path planning and control algorithms

ROS / ROS2 and simulation tools

Edge AI (NVIDIA Jetson platforms)

Qualifications

• Bachelor’s or Master’s degree in Robotics, AI, or Engineering

• 4+ years of experience in autonomous systems or robotics

• Proven experience in deploying production-grade algorithms