About the position
Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you'll solve massively complex problems alongside other passionate, smart people, growing as an expert while broadening your field of knowledge. For Aurora's latest news, visit aurora.tech or follow us on LinkedIn. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a Software Engineer to focus on ML Accelerators.
Responsibilities
- Work closely with our autonomy and hardware teams to understand our on-vehicle ML technology
- Develop perspectives on where opportunities and gaps might be in our machine learning software and hardware strategy with a longer-term horizon in mind
- Maintain relationships and intel across the ML ecosystem including both established players and start-ups (accelerators, software modules, etc.) for both existing and future products
- Execute internal research and development of ML software and hardware technology
- Surface high-impact findings to relevant Engineering leadership, keeping feedback loop going to influence Aurora's ML strategy
- Help drive value to key engineering stakeholders
Requirements
- Minimum 5+ years of professional experience
- BS, MS, or PhD in Computer Science or related field
- Strong programming skills in C++, Python
- Familiarity with at least one deep learning framework (PyTorch, TensorFlow, MXNet, etc.)
- Basic understanding of computer vision deep learning models
- Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)
- Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models
- Familiarity with ML-specific accelerators (NPUs, TPUs, IPUs, etc.)
- Ability to quickly learn and adapt to new technology
- Ability to work on large code bases and a fast growing environment
- Strong communication skills
- Comfortable with Linux/other unix environments
Nice-to-haves
- Experience with inference on edge platforms
- Experience with cloud ML training pipelines
- HPC experience
Benefits
- Annual bonus
- Equity compensation
- Comprehensive benefits package
