Senior Machine Learning Engineer (Autonomous Vehicles)

Location: Santa Clara, California, United States; hybrid workplace

Salary: $150,000–$250,000 per year, hirify.global cash and equity

Company

hirify.global is a Physical AI company developing AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.

What you will do

• Design, implement, and optimize BEV-based perception models using camera, LiDAR, and radar inputs.
• Develop scalable perception algorithms for autonomous driving and 3D scene understanding.
• Benchmark models with large-scale datasets and quantitative performance metrics.
• Collaborate with research, data, and deployment engineers to refine models for real-world applications.
• Optimize perception systems for performance, robustness, scalability, and production deployment.
• Support QMS compliance, quality monitoring, and continuous process improvement.

Requirements

• Ph.D. in AI, Computer Science, Electrical Engineering, Robotics, or a related field, or a master's degree with 3 years of industry experience.
• Python proficiency and experience building deep learning pipelines.
• Strong expertise in PyTorch, TensorFlow, or JAX.
• Experience with LiDAR-based 3D perception and BEV representation models.
• Deep understanding of multimodal sensor fusion, including camera, LiDAR, and radar synchronization, calibration, and integration.
• Solid foundation in computer vision, deep learning, and 3D geometry.

Nice to have

• Industry or academic experience in autonomous vehicle perception, robotics, or related fields.
• Experience developing deep learning models in real-world or production environments.
• Experience with distributed training, high-performance computing, or GPU acceleration.

Culture & Benefits

• Work in an innovative field focused on autonomous driving and Physical AI.
• Opportunities for personal and professional development.
• Catered free lunch, unlimited snacks, and beverages.
• Competitive compensation and benefits, including a 401(k) plan.
• Cash and equity compensation based on position, location, qualifications, and experience.