Autonomy Engineer (AI)

Location: San Francisco, California, United States; full-time onsite work five days a week. Domestic relocation assistance is available. Visa sponsorship is not available.

Salary: $107,280–$174,330 per year

Company

hirify.global develops connected machines, software, AI, and autonomy solutions for safer, more productive, and more sustainable jobsites.

What you will do

• Develop, test, validate, and deploy AI and autonomy capabilities for intelligent robotic systems.
• Apply machine learning, computer vision, foundation models, and related technologies to physical-machine engineering problems.
• Integrate perception, planning, reasoning, and control capabilities.
• Design algorithms, models, system components, experiments, simulations, benchmarks, regression tests, and on-machine evaluations.
• Collaborate with software, hardware, infrastructure, research, validation, safety, and product teams.
• Troubleshoot software, model, sensor, compute, and machine-behavior issues while optimizing systems for edge deployment.

Requirements

• Bachelor’s degree in Computer Science, Robotics, AI, Machine Learning, Electrical Engineering, or a related field.
• Experience developing software, robotics, AI, or autonomous systems through industry, academic research, internships, or substantial project work.
• Strong software engineering fundamentals in Python, C++, or similar languages.
• Experience developing, integrating, and testing production-quality systems.
• Ability to solve ambiguous technical problems, make sound engineering tradeoffs, and collaborate across teams.
• Must work onsite in San Francisco five days per week; visa sponsorship is not available.

Nice to have

• Robotics experience with ROS or ROS2, motion planning, SLAM/localization, manipulation, or controls.
• Experience applying LLMs, vision-language models, vision-language-action models, multimodal learning, or generative AI to robotics.
• Background in deep learning, reinforcement learning, imitation learning, self-supervised learning, or representation learning.
• Experience with computer vision, sensor fusion, object detection and tracking, or 3D scene understanding.
• Experience with distributed systems, AI infrastructure, large-scale training, edge deployment, or performance optimization.

Culture & Benefits

• Work with connected-asset data, AI models, edge architectures, and software systems deployed across fleets and industries.
• Medical, dental, and vision benefits, paid time off, parental and adoption benefits, and disability and life insurance.
• 401(k) savings plans, HSA, FSAs, incentive bonus, and voluntary benefits.
• Career development and tuition reimbursement programs.
• Employee assistance, health lifestyle programs, and employee discounts.