JOB
DESCRIPTION
Physical AI
Engineer
Edge
AI, Autonomy and Simulation
Location:
Recent Delhi
Employment Type:
Full Time
Experience Level:
3+ Years
Department:
Engineering / AI and Autonomy
Role
Purpose
The engineer
will turn research and system requirements into perception and autonomy
software that performs reliably on real hardware. The position requires
practical ownership from data collection and model development through onboard
optimization, integration with drone software, simulation, and controlled
hardware testing.
Key
Responsibilities
● Vision models: Develop, train, fine tune, and evaluate YOLO based object detection
and tracking pipelines for drone imagery and video.
● Data and evaluation: Build labeling, augmentation, dataset versioning, error analysis, and
repeatable evaluation workflows across lighting, motion, altitude, and
environmental conditions.
● Model optimization: Apply quantization, pruning, model conversion, and runtime profiling
to meet latency, memory, compute, power, and thermal limits on target hardware.
● Reinforcement learning: Design training environments, reward functions, observations, actions,
constraints, and evaluation procedures for autonomous behavior.
● Maneuver algorithms: Develop and test planning, guidance, obstacle avoidance, trajectory
generation, and control support algorithms for complex maneuvers within defined
safety limits.
● Embedded deployment: Package inference services and supporting software for embedded
computers, including Yocto recipes, dependencies, startup, logging,
configuration, and updates.
● System integration: Connect perception and autonomy modules with sensors, camera streams,
telemetry, navigation estimates, autopilot interfaces, and ground tools.
● Simulation and testing: Set up realistic scenarios, run software in the loop and hardware in
the loop tests, inject faults and edge cases, and compare simulated performance
with recorded or physical tests.
● Software delivery: Write ma
📌 Physical AI Engineer (Delhi)
🏢 7RD
📍 Delhi