Accelerating Innovation in AI and ML

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

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

Full Description

Job Description

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