Applied Intuition is looking for a lead software engineer to guide their engineering team in building key ML capabilities for their autonomous vehicle stack, specifically for commercial trucking, focusing on long-range object detection and tracking across various sensor modalities.
Requirements
- 5+ years of industry experience in autonomous driving, with a strong focus on perception systems
- Experience managing and mentoring teams of machine learning engineers or researchers
- Proven track record of architecting scalable, modular ML pipelines and delivering production-grade perception systems in complex, dynamic environments
- Strong programming skills in Python and/or C++
- Hands-on experience using modern deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with both real and synthetic data pipelines for model training, validation, and closed-loop evaluation
- Experience working with multi-disciplinary teams across planning, prediction, and simulation domains
Responsibilities
- Lead the design and development of advanced deep learning models for perception, with a goal of integrating perception into a fully end-to-end autonomy stack
- Collaborate closely with Planning, Prediction, and Simulation teams to define closed-loop evaluation metrics, use real and synthetic data for model training, fine tuning and performance evaluation
- Mentor a team of machine learning engineers, fostering a culture of innovation, safety, and deployment-readiness in the development of E2E-centric perception systems
- Develop across all sensor modalities: camera, lidar, and radar with a strong focus on long-range object detection and tracking
- Guide the engineering team in building out key ML capabilities of our autonomous vehicle stack for commercial trucking
Other
- We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week.
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.
