Must-have
- 5+ years of experience in machine learning or computer vision, including deploying models on embedded or resource-constrained hardware.
- Strong Python and C++ programming skills, including debugging and performance profiling.
- Experience training and evaluating computer-vision models with a framework such as PyTorch.
- Experience developing on embedded Linux.
- Understanding of quantization, model conversion, and inference optimization on CPUs, GPUs, or NPUs.
- Ability to evaluate accuracy, false positives, and missed detections across changing lighting, motion, and operating conditions.
About you
- You are ambitious about what you build. You can point to results you personally delivered.
- You care deeply about your craft, pursue difficult questions, and learn quickly.
- You take initiative and own problems through to results. You work independently, make decisions, and bring others in when needed.
- You communicate honestly. You own mistakes, share credit, and help the people around you succeed.
If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.