Staff Machine Learning Engineer (ML Infrastructure)

TL;DR

Staff Machine Learning Engineer (ML Infrastructure): Designing and building scalable AI/ML platform infrastructure to support advanced AI research and intelligent driving technologies with an accent on distributed training and resource optimization. Focus on developing high-performance ML frameworks, maximizing GPU utilization, and ensuring system observability for large-scale model training.

Location: Remote (Must be based in the USA). Willingness to travel to Sunnyvale, CA as needed.

Salary: $185,000 – $335,300

Company

Global automotive leader driving the transition to zero crashes, zero emissions, and zero congestion through intelligent driving technologies.

What you will do

• Design and develop scalable, reliable, high-performance ML frameworks to support model training at scale.
• Optimize distributed training workflows to maximize resource utilization across heterogeneous hardware and reduce costs.
• Enhance system observability, debuggability, and operational excellence to improve user experience.
• Collaborate with research scientists and ML engineers to integrate new features and technologies into the platform.

Requirements

• Bachelor's degree or higher in Computer Science or equivalent relevant experience.
• 5+ years of professional software engineering experience.
• 3+ years of specialized experience in AI/ML infrastructure, specifically enabling distributed training for large models.
• Strong programming skills in Python and proficiency in PyTorch, TensorFlow, or similar frameworks.
• Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).
• Must be based in the USA.

Nice to have

• Extensive knowledge of PyTorch 2.x+ and distributed training frameworks.
• Experience with FSDP, Pipeline Parallelism, and scalable solutions for training large foundational models.
• Expertise in profiling, analysis, and debugging of training and data loading performance.
• Strong communication skills for resolving technical conflicts and driving consensus.

Culture & Benefits

• Comprehensive health and wellbeing programs including medical, dental, vision, HSA, and FSA.
• Retirement savings plan, sickness, and accident benefits.
• Paid vacation, holidays, and tuition assistance programs.
• Eligible for company vehicle evaluation program.
• Flexible remote work arrangement within the USA.