Staff Software Engineer Perception

Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.

San Diego, United States
About Shield AI

Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.

View jobs by Shield AI

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the development of vision, vision-language, and vision-language-action models for autonomous systems. You will build data and fine-tuning pipelines, evaluation frameworks, and deployment infrastructure; optimize embedded inference; translate research into reliable production capabilities; and collaborate across perception, autonomy, platform, and software engineering.

Requirements

  • 7 years of related experience with a bachelor's degree, 6 years with a master's degree, or 4 years with a PhD
  • Machine learning expertise
  • Production computer-vision model training and deployment experience
  • Strong understanding of 3D vision algorithms
  • Experience with PyTorch and TensorFlow
  • Experience deploying models with TensorRT and ONNX
  • Proficiency in C++ and Python
  • Ability to obtain a SECRET clearance

Responsibilities

  • Design, train, fine-tune, and maintain vision, vision-language, and vision-language-action models
  • Build scalable data pipelines, supervised fine-tuning workflows, and evaluation loops
  • Deploy and optimize models for embedded hardware
  • Apply machine learning to perception and autonomy problems
  • Translate machine learning research into production capabilities
  • Integrate machine learning capabilities into autonomous systems
  • Develop benchmarks, testing methodologies, and evaluation frameworks
  • Improve training infrastructure, tooling, deployment workflows, and model lifecycle management

Benefits

  • Bonus
  • Benefits
  • Equity
  • Temporary benefits package after 60 days of employment