What are the responsibilities and job description for the Subject Matter Expert position at Tata Technologies?
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