Sr Staff Software Engineer, ML Accelerators

Who We Are

Aurora (Nasdaq: AUR) is delivering 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 is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-hailing passenger vehicles, and underpins Aurora Horizon and Aurora Connect, its driver-as-a-service products for trucking and ride-hailing. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder. For Aurora’s latest news, visit aurora.tech and @aurora_inno on Twitter.

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

In this role, you will

• 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

 Required Qualifications 

• 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

Desirable Qualifications 

• Experience with inference on edge platforms
• Experience with cloud ML training pipelines
• HPC experience
  

Pay Range: 

The base salary range for this position is $212,000 - $340,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-WS1

 #Director 

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We have offices in several locations across the United States, where we encourage team and cross-functional collaboration. Aurora offers competitive medical, dental, and vision benefits, and additional healthcare support including medical transportation reimbursement, fertility, a