Join Our Team: Shape the Future of Perception Technology! 🚀
Are you ready to revolutionize the world of perception capabilities for both autonomous and non-autonomous platforms?
At the forefront of innovation, we are pushing the boundaries of what’s possible, turning cutting-edge insights into real-time, deep-learning-based solutions to solve practical perception challenges on the edge. Your skills will play a key role in driving transformative solutions that redefine the future.
Be part of a dynamic team where innovation meets impact. Let’s shape the future together!
What you'll do:
- Research, design and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions
- Work with and deploy our AI stack to edge devices
- Work in collaboration with the other deep learning engineers to architect and develop tools help to scale up our deep learning operations
- Stay abreast with the literature and actively involve in various R&D project(s)
Required qualifications:
- Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between 3 – 5 years
- Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation
- Experience working with recent Foundation Models
- Experience with implementing novel deep learning network architectures using existing frameworks (TensorFlow, Caffe, PyTorch or similar)
- Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields)
Preferred qualifications:
- Publication(s) in world-leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals (i.e., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR)
- C++ and/or Python development experience
- In-depth understanding of the latest deep learning network architectures for computer vision and image processing
- Experience with any of the following: object detection and target tracking, simultaneous localisation and mapping (SLAM), 3D reconstruction, camera calibration, behaviour analysis, foundation models, vision language models, large multi-modal models, automated video surveillance and related fields
- Experience deploying deep learning models in an embedded production context, including experience of structured and unstructured pruning, network quantization and performance tuning
- Experience in maintaining and/or setting up MLOps systems and services
- Experience in mentoring junior engineers/researchers in the related fields
Skills Required
- 3-5 years industry experience delivering deep-learning-based computer vision solutions
- Strong understanding of convolutional neural networks and/or transformers for classification, recognition, or segmentation
- Experience working with recent Foundation Models
- Experience implementing novel deep learning architectures using frameworks (TensorFlow, Caffe, PyTorch or similar)
- Bachelor's, Master's, or PhD in Computer Science or related field
- Publications in top computer vision / ML venues (CVPR, ICCV, NeurIPS, ICLR, ICML, PAMI, JMLR)
- C++ and/or Python development experience
- In-depth understanding of latest deep learning architectures for computer vision and image processing
- Experience with object detection, target tracking, SLAM, 3D reconstruction, camera calibration, behaviour analysis, VLMs or related fields
- Experience deploying deep learning models in embedded production, including pruning, quantization, and performance tuning
- Experience maintaining and/or setting up MLOps systems and services
- Experience mentoring junior engineers or researchers
What the Team is Saying
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
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Retirement Support — Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
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Career-Linked Recognition & Rewards — Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Shield AI Teams
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Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
