General Motors is looking to solve the problem of developing scalable ML infrastructure solutions to support the development of autonomous vehicles
Requirements
- Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages
- Experience working with relational and NoSQL databases
- Demonstrated ability to develop and maintain systems at scale
- Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services
- Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc
- Experience with Kubernetes
- Understanding of Machine Learning (ML) models/pipelines
Responsibilities
- Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud
- Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs
- Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts
- Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing
Other
- A Bachelors, Masters, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience
- A passion for autonomous vehicle technology and its transformative potential
- Strong attention to detail and a commitment to accuracy
- A proven track record of efficiently solving complex problems
- A startup mentality with a willingness to embrace uncertainty and wear multiple hats
