Senior Machine Learning Engineer - Compute Platform

Join Our Innovative Team!

We are the ML Compute Platform, part of the AI Compute Platform organization within Infrastructure Platforms. Our mission is to provide a cloud-agnostic, reliable, and cost-effective compute backend that powers GM AI. We proudly support teams developing cutting-edge autonomous vehicles and AI-driven products.

Our platform enables rapid innovation for high-priority machine learning use cases, focusing on robust training and deployment of state-of-the-art machine learning models while maximizing GPU utilization. We aim to deliver performance, availability, and scalability.

About the Role:

We are searching for a Senior Software Engineer to help us enhance our platform's performance, reliability, and usability. Your role will involve building essential backend services, integrating with GPU hardware, and improving system architecture and user experience. This is a hands-on engineering position, requiring expertise in distributed systems and a strong product mindset.

Your Key Responsibilities:

• Design and develop core backend software components for our platform.
• Utilize cloud platforms such as GCP and Azure.
• Excel in a dynamic environment while collaborating with various teams.
• Analyze, enhance, and ensure the efficiency and stability of system resources.
• Identify, lead, and design transformative initiatives within GM's ML ecosystem.

Minimum Qualifications:

• 7+ years of industry experience.
• Proficiency in Go, C++, Python, or similar programming languages.
• In-depth understanding of Kubernetes at scale.
• Experience with large-scale distributed systems.
• Demonstrated leadership in driving large initiatives.
• Experience with cloud providers like Google Cloud Platform, Microsoft Azure, or Amazon Web Services.

Preferred Qualifications:

• Hands-on experience with machine learning platforms.
• Familiarity with GPU/TPU optimizations.
• Experience with training frameworks such as PyTorch or TorchX.
• Knowledge of the Ray framework.
• Active participation in the open source community.
• Experience in infrastructure applications or similar roles.

Why You Should Join Us:

If you're eager to solve complex engineering challenges, make a significant impact in real-world applications, and help define the future of AI infrastructure, this is the perfect opportunity for you.

Compensation:

• The expected base compensation for this role is $198,900 - $304,800, with actual compensation depending on relevant factors.
• Potential commission details may apply.

Bonus Potential: Incentive payouts based on company and individual performance.

• Benefits: GM offers comprehensive health and wellbeing programs including medical, dental, vision, and retirement savings. Other benefits include life insurance, tuition assistance, and employee vehicle discounts.

Company Vehicle: Eligible candidates may participate in a company vehicle evaluation program after a successful motor vehicle report review.

About GM:

We envision a future of Zero Crashes, Zero Emissions, and Zero Congestion, and we are committed to leading this change.

Our Commitment to Diversity:

General Motors fosters an inclusive workplace where all employees feel they belong. We are dedicated to creating opportunities for everyone without discrimination.

Please apply if you possess the necessary skills and qualifications. Job seekers requiring accommodations should reach out via email.