Staff ML Infrastructure Engineer (Embodied AI)

Location: Remote or hybrid in the United States; locations listed include Austin, Texas, Mountain View, California, and Sunnyvale, California. Remote employees living within a specified radius of a GM hub are expected to report onsite three times per week or at another frequency set by the manager.

Salary: $171,700–$335,300 per year, plus bonus potential.

Company

hirify.global develops vehicles, mobility products, intelligent software, battery systems, and autonomous driving technologies.

What you will do

• Design, implement, and deploy scalable platforms and tools for machine learning model training and evaluation.
• Build reliable pipelines supporting dataset generation, training, evaluation, and iteration of autonomous driving models.
• Own complex technical projects end to end, including architecture decisions, technical trade-offs, design reviews, and code quality.
• Drive technical prioritization and collaborate with partner teams across the organization.
• Participate in technical interviews and recruiting.
• Mentor and onboard junior engineers and interns.

Requirements

• At least 5 years of experience building large-scale distributed systems, applications, or advanced machine learning systems.
• Experience designing robust frameworks with high-quality, durable APIs.
• Deep understanding and hands-on application of machine learning algorithms.
• Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
• End-to-end experience across the machine learning lifecycle, including MLOps practices.
• Exceptional coding skills in Python or C++, strong cross-functional collaboration skills, and a BS, MS, PhD, or equivalent practical experience in Computer Science or Mathematics.

Nice to have

• Experience with distributed training and scaling machine learning across large GPU/CPU clusters or other accelerators.
• Familiarity with PyTorch or TensorFlow.
• Experience with performance profiling and advanced training optimization techniques.
• Experience with Bazel, Buck, Blaze, or CMake.
• Proficiency with Docker and Kubernetes.

Culture & Benefits

• Health, dental, vision, HSA, and FSA options.
• Retirement savings, life insurance, sickness and accident benefits, and paid vacation and holidays.
• Tuition assistance and employee assistance programs.
• GM vehicle discounts and eligibility for a company vehicle evaluation program after a motor vehicle report review.
• Relocation benefits may be available.