This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.
Minimum qualifications:
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
6 years of experience writing code in one or more general purpose programming languages (e.g., C++, Java, Python, Go, etc.).
Preferred qualifications:
Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
Experience working with large-scale distributed systems, and with common solutions, design patterns, or best practices.
Experience with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.
Experience with ML frameworks (e.g., TensorFlow, Pytorch).
Experience troubleshooting and advocating for customer needs, and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, and performance).
Understanding of the AI/ML training and inference lifecycle.