S
Shield AI
Autonomy & Perception Software Engineer
Skills
PythonData AnalysisMachine Learning
9 days ago
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Important information
Contract type:
Permanent
Salary:
$165,000 / year
Location:
United States
Work mode:
Onsite
Published on:
11 October 2026
What they need
- Help build perception software that works beyond the lab. Shield AI’s Perception team builds software that helps autonomous aircraft and vehicles understand their surroundings and make decisions in the real world. We’re looking for an experienced engineer who enjoys solving difficult perception problems and turning those solutions into reliable autonomy capabilities
- You’ll bring depth in an area such as object tracking, classical/ML-based detection, computer vision, optimal state estimation, or sensor fusion. Working alongside autonomy, simulation, platform, and test engineers, you’ll take capabilities from an initial idea through deployment in the Hivemind product
- Develop perception algorithms and production software in modern C++
- Own features from design and implementation through integration, testing, and delivery
- Investigate system behavior using sensor data, simulation, logs, and focused experiments
- Collaborate across teams to turn research and customer-driven work into reusable product capabilities
- Contribute to technical direction, review designs and code, and mentor other engineers
Benefits
- Excellent Medical Coverage
- Mental Health Employee Assistance Program
- Paid Parental Leave
- Pet Insurance
- Flexible Work Hours
- Onsite Gym (DC)
- Gym Discount (San Diego)
- Free Parking
- Competitive Compensation
- Stock Benefits
- 401K Services and Match- Sound technical judgment and a collaborative approach to solving problems
- Strong technical depth in at least one relevant area: detection, tracking, computer vision, image processing, estimation (e.g. Kalman Filtering), or sensor fusion
- Experience delivering production C++ software for perception, robotics, autonomy, or a related technical field
- An ability to debug complex systems and build software that others can understand, test, and maintain
- Comfort using Python or similar tools for experimentation and data analysis
- Experience with
- Embedded or GPU deployment
- Real sensors (EO/IR, Radar, LiDAR, IMU)
- Resource-constrained compute environments
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