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Senior Staff Software Engineer, Perception (R4985)

Shield AI · Washington, D.C.; Dallas, Texas; San Diego, California; Boston, Massachusetts

Extracted from the posting

Base
$233,760 – $350,640
Equity
Included in full-time package; no terms stated
Remote
On-site
Stack
PyTorch, TensorFlow, TensorRT, ONNX

Senior Staff engineer on the Hivemind Solutions Perception team developing vision, vision-language, and vision-language-action models for autonomous systems. Work includes data pipelines, SFT workflows, evaluation frameworks, and deploying models on embedded hardware with ONNX and TensorRT. Stack includes PyTorch, TensorFlow, C++, and Python.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit

www.shield.ai

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The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.

In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms.

What You'll Do:

    Required Qualifications:

      Preferred Qualifications:

        #LI-DS-1

        #LE


        Full-time regular employee offer package:

        Pay within range listed + Bonus + Benefits + Equity

        Temporary employee offer package:

        Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

        Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

        ###

        Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

        Compensation: USD 233,760 – 350,640 per year salary

        Technologies

        PyTorchTensorFlowTensorRTONNXC++Python
        Shield AI
        Shield AI

        Job details

        TypeFull-time
        Work ModeOn-site
        LevelLead
        Location🇺🇸Washington, DC🇺🇸Dallas, TX🇺🇸San Diego, CA🇺🇸Boston, MA
        Salary$233,760 - $350,640
        PostedNov 06, 2026
        Apply Now

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