Senior Staff Software Engineer, Perception (R4985)

Shield AI
Washington, Dallas, San Diego, Boston
Workplace: OnsiteFull timeUSD 233,760 - 350,640 annuallyFunction: Software EngineeringExperience: 7-10 yearsSkills: ["Analytical and problem-solving skills","Translating research into practical applications"]

Develop and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, supervised fine-tuning workflows, and evaluation loops to continuously improve perception and decision-making on mission-relevant tasks. Optimize model deployment for embedded hardware using ONNX and TensorRT, and translate ML research into robust, production-ready capabilities through close collaboration with perception, autonomy, platform, and software engineering teams.

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FursaFursa
Shield AI
Shield AI
1 month ago

Senior Staff Software Engineer, Perception (R4985)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Develop and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, supervised fine-tuning workflows, and evaluation loops to continuously improve perception and decision-making on mission-relevant tasks. Optimize model deployment for embedded hardware using ONNX and TensorRT, and translate ML research into robust, production-ready capabilities through close collaboration with perception, autonomy, platform, and software engineering teams.
Location: Washington, Dallas, San Diego, Boston
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, train, fine-tune, and maintain vision, vision-language, and vision-language-action models to improve autonomous perception and decision-making.
  • •Build scalable data pipelines, supervised fine-tuning workflows, and evaluation loops that continuously improve model performance.
  • •Deploy and optimize machine learning models for embedded hardware using ONNX, TensorRT, and hardware-accelerated inference frameworks.
  • •Apply modern ML techniques to solve perception and autonomy problems across aerial and other real-world autonomous systems.
  • •Develop benchmarks and testing methodologies to measure performance, identify failure modes, and guide continuous improvement; collaborate with perception, autonomy, platform, and software engineering teams.

Pay and Benefits

Salary: USD 233,760 - 350,640 annually
Equity and Bonus:Equity

Key Requirements

  • •Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years with a Master’s degree; or 7 years with a PhD; or equivalent work experience.
  • •Mastery of machine learning fundamentals.
  • •Experience training and deploying ML models for computer vision in a production setting.
  • •Strong understanding of 3D vision problems/algorithms.
  • •Experience with machine learning frameworks such as PyTorch and TensorFlow, including deploying models using TensorRT and ONNX.
Experience:7-10 yearsMachine learningComputer visionAutonomous systemsDefense
Skills:Analytical and problem-solving skillsTranslating research into practical applications
Tech Stack:PyTorchTensorFlowONNXTensorRTC++PythonEmbedded hardwareSupervised fine-tuning (SFT)Evaluation frameworks

Eligibility

Security Clearance:SECRET

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn