Does this position allow remote work?

Occasional remote work is allowed for this position.

What type of contract is offered for this position?

Type of contract for this position: {contract_type}

Job summary

Permanent contract

Occasional remote

Salary: $165K

Experience: > 3 years

Skills & expertise

Collaboration and teamwork

C++

LiDAR

Python

14 hours ago

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Questions and answers about the job

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

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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