Drimva

Shield AI

Senior Staff Software Engineer, Perception (R4985)

$234K–$351K

Washington, D.C. +3 · On-site · Senior Staff · Full-time · Posted Jul 28, 2026

Location
Washington, D.C.
Dallas, Texas
San Diego, California
Boston, Massachusetts
Experience
Typically 10 years with a Bachelor’s degree, 9 years with a Master’s degree, 7 years with a PhD, or equivalent work experience.
Education
Bachelor’s degree, Master’s degree, or PhD, according to the stated experience alternatives.

About the job

Develops and deploys production-ready vision, vision-language, and vision-language-action models for autonomous systems, including the data, evaluation, and deployment infrastructure that supports them.

What you'll do

  • Design, train, fine-tune, and maintain perception models and workflows for mission-relevant tasks.
  • Deploy and optimize models on embedded hardware; build evaluation methods and improve training and deployment infrastructure.
  • Collaborate with research, perception, autonomy, platform, and software teams to integrate reliable ML capabilities into autonomous systems.

What they ask for

  • Mastery of machine learning fundamentals and experience training and deploying computer-vision models in production.
  • Strong understanding of 3D vision problems and algorithms.
  • Expertise deploying models with TensorRT and ONNX; experience with PyTorch and TensorFlow.
  • Proficiency in C++ and Python; ability to obtain a SECRET clearance.

Nice to have

  • Experience developing autonomous systems for defense customers.
  • Experience training or fine-tuning vision-language, vision-language-action, or world models; open-source contributions or relevant publications.

Pay

USD 233,760–350,640 per-year-salary; base salary

Tools

ONNX, TensorRT, PyTorch, TensorFlow, C++, Python

AI focus

Develops vision, vision-language, and vision-language-action models for autonomous systems, including training, fine-tuning, evaluation, and embedded deployment.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)