Staff Deep Learning Engineer, State Estimation
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Job Description
Staff Deep Learning Engineer developing deep learning and 3D vision for Shield AI’s autonomous defense systems. Building localization, navigation, and Hivemind SDK capabilities.
Responsibilities:
- Develop and evaluate models for feature detection and matching, visual correspondence, depth estimation, relative pose estimation, and image-to-map localization
- Combine learned visual representations with geometric methods to improve localization accuracy, robustness, and recovery
- Own data preparation and supervision strategies, including dataset curation, annotation requirements, labeling tools, automated quality checks, and coverage analysis
- Select and integrate deep learning tools and build reproducible training workflows with experiment tracking, configuration management, and dataset/model versioning
- Design evaluations across changes in lighting, viewpoint, altitude, terrain, weather, and sensor characteristics
- Analyze failures and prioritize improvements to data, supervision, models, and integration
- Partner with state estimation engineers to integrate learned measurements and confidence estimates into VIO and terrain-relative navigation systems
- Profile models against onboard compute, memory, and latency constraints and support optimization and runtime validation
- Deliver tested, documented components and interfaces for Hivemind SDK
- Collaborate with software, systems, and flight test teams
Requirements:
- M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field; minimum 4+ years of related professional work experience with an M.S. degree, or 2+ years with a Ph.D.
- Hands-on experience designing, training, debugging, and evaluating models using PyTorch or an equivalent framework
- Strong foundations in camera models, coordinate transformations, projective geometry, and multi-view geometry
- Practical experience in one or more of: vision-based navigation, visual geolocation, Structure from Motion (SfM), SLAM, 3D reconstruction, depth estimation or similar fields
- Strong Python skills and experience writing maintainable, reusable software
- Experience taking computer vision capabilities from problem definition and raw data through training, evaluation, and integration readiness
- Experience building pipelines for sensor data ingestion, cleaning, filtering, deduplication, and dataset versioning
- Ability to select and integrate development tools and build reproducible training workflows, including configuration management, experiment tracking, checkpointing, and GPU performance troubleshooting
- Experience designing benchmarks, preventing data leakage, analyzing performance across operating conditions, and connecting model metrics to downstream geometric or localization accuracy
- Ability to profile inference latency and memory use, document model interfaces and preprocessing, assess accuracy–compute tradeoffs, and advise on export, precision, and runtime optimization
- Ability to communicate assumptions, experimental findings, and design tradeoffs clearly and translate research into working software
- All offers contingent on a cleared background and possible reference check
Benefits:
- Bonus
- Benefits
- Equity
- Temporary benefits package applicable after 60 days of employment for temporary employees
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