Staff Engineer, Perception Software

Responsibilities

• Design and implement production perception capabilities in modern C++, emphasizing clear interfaces, correctness, performance, maintainability, and automated test coverage.
• Own features across the development lifecycle, from requirements clarification and technical evaluation through algorithm and library development, runtime integration, SDK validation, documentation, and release readiness.
• Contribute technical judgment in object detection, object tracking, computer vision, image processing, sensor and measurement modeling, mapping, or multi-sensor fusion.
• Work across sensor data contracts, coordinate frames, timing, configuration, simulation, replay, analyzers, embedded deployment, and end-to-end perception workflows.
• Diagnose system behavior using source code, logs, recorded sensor data, simulation, and experiments; drive issues through root cause, corrective action, and regression coverage.
• Participate in design and code reviews, communicate tradeoffs, mentor engineers, and improve DTM architecture and engineering practices.
• Use AI-assisted engineering tools with accountability for technical accuracy, security, testing, and reviewability.
• Evaluate foundation-model capabilities for detection, tracking, image understanding, simulation, and perception workflows.

Requirements

• Significant professional experience developing and delivering production C++ software for robotics, autonomy, perception, real-time systems, simulation, or complex technical products.
• Deep experience in object detection, object tracking, computer vision, image processing, sensor modeling, sensor fusion, estimation, or mapping.
• Ability to deliver maintainable software with clear interfaces, tests, diagnostics, documentation, and larger-system integration.
• Strong debugging and systems-thinking skills across algorithms, architecture, data contracts, configuration, timing, coordinate frames, compute behavior, and sensor data.
• Proficiency with Python for technical analysis, visualization, experimentation, or verification.
• Experience collaborating across teams and disciplines, making technical decisions amid ambiguity, and communicating designs, risks, and feedback.
• Experience using or quickly adopting AI-assisted development tools with disciplined human review and validation.

Preferred Qualifications

• Experience with autonomous aircraft, maritime systems, ground robots, automotive systems, defense applications, or deployed robotic platforms.
• Experience with multi-target tracking, data association, estimation, multi-sensor or multi-agent fusion, angle-only tracking, or measurement modeling.
• Experience with EO/IR imagery, video pipelines, radar, LiDAR, GNSS/INS, camera models, calibration, or time-aligned sensor data.
• Familiarity with embedded Linux, edge or GPU compute, CUDA, TensorRT, NVIDIA Jetson, Qualcomm, or comparable environments.
• Experience with simulation, hardware-in-the-loop testing, recorded-data replay, performance analyzers, or real-world sensor evaluation.
• Familiarity with CMake, Nix, Conan, GitLab CI, or comparable package, build, configuration, and CI tooling.
• Familiarity with vision foundation models, vision-language models, learned visual representations, and robotics model adaptation workflows.
• Experience turning research, IRAD, partner-developed, or program-specific software into reusable product libraries and stable integration contracts.