Senior ML Systems Engineer II, ML Data Acceleration

$152,000 - $223,500/Yr

Gm Cruise - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Transportation Equipment Manufacturing

About the position

The Senior ML Systems Engineer II at Cruise is responsible for designing, building, and testing scalable distributed training and data processing systems that support the development of self-driving vehicles. This role involves owning technical projects, contributing to product roadmaps, and making significant technical decisions. The engineer will also mentor junior engineers and participate in recruiting activities, all while ensuring engineering excellence and collaboration across teams.

Responsibilities

• Use the latest technologies to own, design, build, and test scalable distributed training and data processing systems.
• Champion engineering excellence by continuously improving systems and processes.
• Own technical projects from start to finish and contribute to the team's product roadmap.
• Be responsible for major technical decisions and tradeoffs.
• Effectively participate in team's planning, code reviews, and design discussions.
• Consider the effects of projects across multiple teams and proactively manage conflicts.
• Work together with partner teams and organizations to achieve cross-departmental goals.
• Conduct technical interviews and play an essential role in recruiting activities.
• Effectively onboard and mentor junior engineers and/or interns.

Requirements

• BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
• 5+ years experience working on distributed training or data processing infrastructure.
• C++ and Python proficiency.
• Passionate about self-driving technology and its potential impact on the world.
• Attention to detail and a passion for truth.
• A track record of efficiently solving complex problems.

Nice-to-haves

• Experience with open source software, e.g. PyTorch, Ray, Apache Arrow.
• Experience with Google Cloud Storage.
• Experience with low level optimization (file system, file format, memory, CPU, network).

Benefits

• Competitive salary and benefits
• Medical / dental / vision, Life and AD&D
• Subsidized mental health benefits
• Paid time off and holidays
• Paid parental, medical, family care, and military leave of absence
• 401(k) Cruise matching program
• Fertility benefits
• Dependent Care Flexible Spending Account
• Flexible Spending Account & Health Saving Account
• Perks Wallet program for benefits/perks
• Pre-tax Commuter benefit plan for local employees
• CruiseFlex, our location-flexible work policy.