Senior ML Infrastructure Engineer (Autonomous Driving)

Location: Remote within the United States; candidates living within 50 miles of a GM office must report onsite at least three times per week. Listed locations include Austin, Texas and Sunnyvale, California.

Salary: $128,700–$261,300 per year, plus bonus potential.

Company

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

What you will do

• Design, implement, and deploy scalable platforms and tools for machine learning model training and evaluation.
• Own complex technical projects end to end, making architectural decisions and technical trade-offs.
• Contribute to planning, design reviews, code quality, and technical prioritization across multiple teams.
• Collaborate with partner teams to maximize the impact and reliability of shared ML infrastructure.
• Participate in technical interviews and recruiting, and mentor junior engineers and interns.

Requirements

• At least 3 years of experience building large-scale distributed systems or advanced ML applications.
• Experience building robust frameworks with high-quality, long-lasting APIs.
• Practical understanding of machine learning algorithms and the full ML development lifecycle, including MLOps.
• Expertise in reliable, high-performance, and cost-efficient cloud infrastructure.
• Proficiency with Docker, Kubernetes, and Python or C++.
• Bachelor’s, master’s, or doctoral degree in Computer Science, Mathematics, or equivalent practical experience.

Nice to have

• Experience with distributed training and optimizing model training performance.
• Experience scaling training across large GPU, CPU, or accelerator clusters.
• Familiarity with PyTorch or TensorFlow.
• Knowledge of performance profiling, training optimization algorithms, and advanced build systems such as Bazel, Buck, Blaze, or CMake.

Culture & Benefits

• Health, dental, vision, HSA, and FSA plans.
• Retirement savings, life insurance, sickness and accident benefits.
• Paid vacation and holidays, tuition assistance, and employee assistance programs.
• GM vehicle discounts and potential relocation benefits.
• Work focused on improving vehicle safety, performance, and autonomous driving technology.