ML Engineer, I - Acceleration Team at Torc Robotics in Ann Arbor, MI

Summary: Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The ML Engineer will work on deploying trained Machine Learning Models on embedded hardware, optimizing C++ and CUDA code, and collaborating with other engineers to deliver high-quality production code. Responsibilities: - Develop modern C++ and CUDA code for AI inference, including data processing algorithms and custom neural network layers - Optimize C++ and CUDA code guided by timing measurements and profiling to minimize processing latency - Utilize existing third-party and internal frameworks, libraries and tools - Work closely with other engineers and domain experts in a collaborative environment - Write functional and performance tests and documentation - Deliver high-quality, unit-tested, production code suitable for deployment in embedded, safety-critical environments Required Qualifications: - Bachelor's degree in Computer, Electrical, or Software engineering, or advanced degree - Deep understanding of memory management in C++, error handling, compilers and debuggers on Linux - Understanding of mechanisms of calling C/C++ functions from Python - Understanding of neural networks and machine learning - Strong math skills including linear algebra - Strong written and verbal technical communication skills - Positive, team player mindset Preferred Qualifications: - CUDA experience - Experience with deep learning frameworks such as PyTorch or TensorFlow Required Skills: C++, CUDA, Python, Neural networks, Machine learning, Memory management in C++, Error handling, Linux compilers, debuggers, Linear algebra Benefits: Corporate bonus, Stock option plan, Sign-on payments, Relocation, Full range of medical, financial, and/or other benefits