Engineer Jobs

About The Position

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Aerospace, Electrical Engineering, Machine Learning, or a related field, or at least 3 years of equivalent practical experience as a software engineer.
• Strong software engineering skills in modern C++ on Linux and Python for tooling, analysis, or machine learning.
• Proven ability to take systems from research or prototype into reliable deployment on hardware.
• Deep technical strength in at least one core domain such as perception, localization and state estimation, navigation, planning, machine learning, or embedded autonomy.
• Experience building and debugging real-world robotics, autonomy, or embedded software systems.
• Must meet applicable U.S. export-control eligibility requirements or be eligible to obtain required authorizations; employment may be conditioned on authorization to receive controlled software or technology without sponsorship for an export license.

Nice To Haves

• Experience with state estimation, SLAM, VIO, GNSS/INS fusion, relocalization, or multi-sensor fusion.
• Experience with perception systems for detection, segmentation, tracking, pose estimation, or classification in challenging real-world conditions.
• Experience training, fine-tuning, or deploying machine-learning models for autonomy applications.
• Experience bringing up complex embedded systems across sensors, compute, vehicle interfaces, and autonomy software on embedded Linux or RTOS platforms.
• Experience with motion planning, mission autonomy, or decision-making under uncertainty.
• Strong engineering judgment across system-level tradeoffs including latency, accuracy, robustness, and operational reliability.
• High standards for validation using metrics, simulation, logs, and field testing.
• Experience with simulation, HITL, synthetic data, and sensor modeling.
• Experience in contested or degraded environments, including RF denial, GNSS degradation, low-light or night operations, or high-vibration platforms.
• Strong data and infrastructure practices, including dataset versioning, reproducible pipelines, CI-based validation, and evaluation tooling.

Responsibilities

• Design, implement, and ship production autonomy software in modern C++ on Linux, using Python for tooling, analysis, and machine-learning workflows.
• Build and integrate capabilities across perception, localization, sensor fusion, navigation, planning, and embedded inference.
• Take systems from prototype through simulation, software-in-the-loop, hardware-in-the-loop, flight test, and deployment.
• Analyze logs, simulation results, and test data to debug failures, improve robustness, and support rapid iteration.
• Develop evaluation pipelines, metrics, and tooling for accuracy, latency, drift, handoff stability, and mission-level performance.
• Work with hardware, sensing, flight test, and machine-learning teams to integrate algorithms onto real platforms.
• Optimize software and models for real-time deployment on embedded compute under tight SWaP and latency constraints.
• Design systems for degraded operation, fault detection, graceful degradation, and uncertainty-aware decision-making in contested environments.

Benefits

• Performance-based incentives or bonus structure tied to individual and company performance.
• Stock options or equity participation.
• Healthcare, dental, and vision plans.
• Retirement savings plans.
• Paid time off.
• Funds for continuing education, training, and career growth.
• Competitive base salary.