Autonomous Systems Engineer

Role Summary:

We are seeking a highly skilled Subject Matter Expert (SME) – Autonomy to lead the design, development, and optimization of autonomous systems. The role demands deep expertise across perception, localization, sensor fusion, planning, control, and embedded AI, combined with strong systems engineering capability to deliver reliable, scalable, and safety-critical autonomous platforms.

Key Responsibilities:
Act as the technical authority for autonomy stack development
Define and own end-to-end autonomy architecture from system requirements to deployment
Apply systems engineering principles for requirements decomposition, interface definition, and V&V
Lead perception, mapping, and localization pipelines
Drive sensor fusion strategies across LiDAR, cameras, IMU, and GPS/GNSS
Guide motion planning and control algorithms
Enable Edge AI and real-time onboard processing
Lead system-level design reviews (SRR, PDR, CDR) and technical risk mitigation
Mentor engineers and conduct architectural and code reviews

Mandatory Skills
Strong Systems Engineering expertise – requirements engineering, system architecture, interface management, and V&V
End-to-end autonomy system design across hardware, software, sensing, control, and compute layers
System-level trade-off analysis, risk management, and design optimization
Experience with lifecycle processes and formal design reviews (SRR, PDR, CDR)
Multi-disciplinary system integration and dependency management

Core Skills – Autonomy Domain:
LiDAR – 3D mapping and obstacle detection
Cameras – Computer vision and object detection
IMU – Motion tracking
GPS/GNSS – Global positioning
Sensor fusion – LiDAR + IMU + GPS
Visual odometry and SLAM
Computer Vision algorithms for autonomous perception
Machine Learning / Deep Learning
Edge AI – real-time inference on NVIDIA Jetson and edge GPUs
Control algorithms – PID, MPC
Kinematics and dynamics models
Wireless – Wi-Fi, LTE, 5G
V2X communication
Battery integration and hybrid power systems

Qualifications:
• 10–12 years of experience in autonomy, robotics, or intelligent systems
• Bachelor’s or master’s degree in Robotics, Systems Engineering, Computer Science, AI, or Engineering
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