Career at Pioneer India

Lead AI Engineer

6-8Yrs+ | Not Disclosed

BGLR

Job Summary:

We are looking for a Lead AI Engineer with deep expertise in Computer Vision and Edge AI to lead the development and deployment of perception systems in next-generation automotive platforms. This role focuses on building high-performance AI models for Vehicles like ADAS, in-cabin monitoring etc and deploying them efficiently on embedded SoC platforms. You will work on the full AI pipeline—from data to deployment—ensuring models meet real-time performance and safety requirements.

Job description

Key Responsibilities:

  • Design, train, and optimize computer vision models for real-time applications like object detection, lane tracking, semantic segmentation, and driver state monitoring.
  • Port and deploy AI models to various automotive SoC platforms (e.g., NVIDIA, Qualcomm, NXP, TI), optimizing for performance, memory, and power efficiency.
  • Use tools like TensorRT, ONNX, TVM, and OpenVINO to quantize, compress, and accelerate models for edge inference.
  • Work with embedded systems teams to integrate AI modules into in-vehicle software stacks.
  • Collaborate with perception, sensor fusion, and hardware teams to deliver robust and reliable end-to-end systems.
  • Evaluate models on large, multi-sensor datasets and conduct rigorous performance and safety testing under varied driving conditions.
  • Stay current with the latest developments in edge AI, model optimization, and automotive perception.
  • Provide technical mentorship and code reviews for junior engineers and researchers.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field
  • 6–8 years of experience in AI/ML, with at least 4 years in computer vision and model deployment in real-world systems.
  • Proven experience deploying deep learning models on SoC/embedded hardware platforms (NVIDIA Jetson/Drive, Qualcomm Snapdragon, TI TDA4, etc.).
  • Expertise in Python and C++; strong hands-on knowledge of PyTorch, TensorFlow, and OpenCV.
  • Deep understanding of model optimization techniques (e.g., quantization, pruning, INT8/FP16 inference).
  • Familiarity with tools such as TensorRT, ONNX, TFLite, and performance profilers for embedded AI.
  • Strong foundation in real-time system constraints, embedded development, and edge compute limitations.

Prefered Qualifications:

  • Experience with ADAS, OMS, DMS
  • Knowledge of automotive-grade software development and safety standards.
  • Background in working with CAN, Ethernet, or other in-vehicle communication protocols.

What We Offer

  • The opportunity to lead the development of cutting-edge vision and AI systems powering intelligent vehicles.
  • Work on real-world deployment challenges with top-tier automotive partners.
  • Competitive compensation, flexible work options, and access to modern AI/edge infrastructure.
  • A culture that encourages innovation, technical excellence, and continuous learning.