Senior Computer Vision Engineer: Edge AI for DoD Perception

Speedrun Talent Network; Sunnyvale (CA); Vor Ort; USD 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

US security clearance support

Zusammenfassung

Applied Intuition Defense seeks a Computer Vision Engineer to join a fast-paced, full‑stack team. You will develop perception models for DoD testing across maritime, land, air domains, and deploy them on Jetson‑Orin boards with real‑time performance.

You should have PyTorch on multi-GPU systems, strong Python and/or C++, and experience deploying models to edge devices. Travel for demonstrations is expected.

Qualifikationen

• MS or PhD in Computer Engineering, Robotic Engineering, CS, or equivalent; or 5+ years of relevant experience.
• 5+ years of industry experience in computer vision.
• Proficient in training ML models in PyTorch on multi-machine, multi-GPU systems.
• Experience deploying ML models to edge devices.
• Strong coding skills in Python and/or C++.
• Familiar with AI development tools (GitHub Copilot, Cursor).
• Able to work in a remote-enabling environment with minimal supervision.

Aufgaben

• Develop perception models for DoD testing across domains.
• Deploy models to Jetson Orin+ boards with optimization for near-realtime FPS.
• Build tooling for labeling, simulation, and deployment.
• Collaborate with hardware, sensor, autonomy teams for on-site testing.
• Scale up datasets using simulation, diffusion, and generative AI.
• Contribute to building large foundation models for labeling.

Kenntnisse

Python

C++

PyTorch

Edge deployment

Multi-machine training

GitHub Copilot

Cursor

Ausbildung

MS/PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent

Tools

Jetson Orin

Jobbeschreibung

Applied Intuition Defense seeks a Computer Vision Engineer to join a fast-paced, full‑stack team. You will develop perception models for DoD testing across maritime, land, air domains, and deploy them on Jetson‑Orin boards with real‑time performance.

You should have PyTorch on multi-GPU systems, strong Python and/or C++, and experience deploying models to edge devices. Travel for demonstrations is expected.