Staff Deep Learning Engineer, State Estimation (R5785)
What you'll need to apply
Fields this application requires
Company-specific questions
- This position may require access to information and technology that is subject to export controls, such as EAR. Are you any of the following?
- Shield AI provides technology, services, and support to the United States military and allied forces with their various missions. If selected for employment with Shield AI, your contributions will directly relate to and/or support these missions. Are there any reasons why you would not be able to fully contribute in support of the U.S. military and allied forces?
- Please state your full legal name:
- Are you a transitioning service member?
- What full time job(s) are you applying for?essay
About this role
Employer-provided description, formatted for easier reading.
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. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description
Join Shield AI’s Hivemind SDK State Estimation & Vision team to build deep learning capabilities that help autonomous systems understand their motion and localize in the world when GPS is unavailable or unreliable. You will work at the intersection of deep learning, 3D computer vision, and geometric estimation, developing learned components for vision-based navigation.
You will own the model development pipeline—from selecting tools, defining annotation needs, and cleaning data through training, evaluation, integration support, and deployment recommendations. Hands-on experience with Deep Learning and 3D computer vision and geometry is required; prior experience specifically in vision-based navigation is optional.