Defense Computer Vision Engineer: Edge AI on Jetson

Applied Intuition

Sunnyvale (CA)

Hybrid

USD 180.000 - 280.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Applied Intuition Defense seeks a hands-on Computer Vision Engineer to advance perception models across maritime, land, air-to-surface, and surface-to-surface domains. You will build detectors/classifiers, deploy to Jetson devices, and drive ML tooling and data labeling pipelines.

The role requires strong PyTorch experience on multi-GPU systems, edge deployment expertise, and collaboration with defense teams. Hybrid work with on-site DoD testing opportunities.

Qualifikationen

  • MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience.
  • 5+ years of experience within industry, supporting Computer Vision related capabilities.
  • Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems.
  • Experience in optimizing and deploying machine learning models to edge devices.
  • Strong experience with agentic coding with proven experience in Python and/or cpp.
  • Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems.
  • Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to learn new software and algorithms as needed with little supervision.

Aufgaben

  • Develop perception models that find and classify targets with an error rate of <1/100.
  • Deploy perception models to Jetson Orin+ boards and optimize models for better-than-realtime performance.
  • Build large foundation models for high-accuracy assisted data labeling.
  • Build tooling across the entire perception stack: labeling tools, simulation.
  • Work with the best and most competitive AI talent in the world through collaboration with Applied Intuition self-driving staff.
  • Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and generative AI.
  • Create and maintain highly optimized models and inference software providing model results at maximum attainable frames per second (FPS) on Jetson-like hardware.
  • Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events.

Kenntnisse

Python
C++

Ausbildung

MS/PhD or 5+ years experience

Tools

GitHub Copilot
Cursor

Jobbeschreibung

Applied Intuition Defense seeks a hands-on Computer Vision Engineer to advance perception models across maritime, land, air-to-surface, and surface-to-surface domains. You will build detectors/classifiers, deploy to Jetson devices, and drive ML tooling and data labeling pipelines.

The role requires strong PyTorch experience on multi-GPU systems, edge deployment expertise, and collaboration with defense teams. Hybrid work with on-site DoD testing opportunities.

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