Software Engineer, ML Infrastructure, Optimization (Autonomous Vehicles)

Location: Mountain View, California, United States

Salary: $160,360–$240,540 base pay annually, plus annual performance bonus, equity, and benefits.

Company

hirify.global is a physical AI company developing Level 4 autonomous driving technology and a universal autonomy platform for vehicles and mobility services.

What you will do

• Design, build, and deploy core infrastructure for the machine learning model lifecycle.
• Optimize hirify.global’s autonomy stack using quantization, low-precision inference, and model pruning.
• Optimize, validate, and deploy large language models with autonomy engineering teams.
• Develop and maintain the FTL model compiler framework.
• Profile and optimize GPU machine learning compilers and runtimes.
• Collaborate with behavior, perception, and mapping engineers to implement end-to-end learned ML solutions.

Requirements

• 2+ years of relevant experience in ML optimization infrastructure.
• Experience with quantization, model pruning, and ML compilers.
• Experience maintaining, profiling, and optimizing GPU ML compilers and runtimes.
• Proficiency in Python and working experience with C++ and CUDA.
• Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or Keras.

Culture & Benefits

• Base compensation includes eligibility for an annual performance bonus, equity, and a competitive benefits package.
• Commitment to diversity, inclusion, psychological safety, and equal employment opportunity.
• Work focused on accelerating robotics and autonomous driving for everyday use.