Software Engineer, Advanced Pilot Assistant Software (Autonomy/Robotics)

ABOUT BEACON AI We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation. Role Overview We are seeking a Software Engineer to help design and build the advanced pilot assistance software that supports our flight safety platform. In this role, you will develop and deploy autonomy, robotics, and embedded systems that operate in real-world, safety-critical aviation environments. You will contribute hands-on across the stack, working closely with senior engineers to deliver reliable systems that support time-sensitive decision-making for human operators. What You’ll Do - Design, build, and deploy robotic and embedded software components used in advanced pilot assistance systems. - Contribute to autonomy-related features or subsystems from development through deployment, with a focus on reliability and performance. - Write, test, and maintain high-quality Python and/or C++ code across autonomy, systems, and embedded components. - Integrate software with hardware, sensors, and perception or data ingestion pipelines to support autonomous and operator-in-the-loop decision-making. - Help optimize software for edge compute environments, including managing latency and resource usage. - Participate in testing, validation, and deployment efforts to ensure systems meet safety-critical and mission-critical requirements. - Collaborate in design reviews, code reviews, and hands-on development with senior engineers and cross-functional teams. What Will Make You Successful - 2+ years of experience designing or building robotic software and/or embedded systems, or equivalent experience through projects, internships, or coursework. - Experience writing production-quality code in C++ and/or Python. - Familiarity with real-time or interactive systems that support users making time-sensitive decisions. - Exposure to autonomy-related systems such as planning, decision-making, or reasoning, and working with sensor or perception pipelines. - Some experience working with embedded or edge compute platforms and debugging hardware/software interactions. - Ability to learn quickly and contribute effectively in fast-moving, ambiguous environments. Bonus Points - Experience working on safety-critical or mission-critical systems, including aviation or robotics domains. - Exposure to robot operating systems or middleware such as ROS or DDS. - Interest in human-in-the-loop systems, simulation environments, or real-time control systems. - Background or strong interest in autonomy, robotics, or advanced mobility. Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days. Perks & Benefits (Full-Time Employees) - Healthcare: 100%* of employee medical premiums covered; 25% for dependents - Time Off: 3 weeks PTO plus 13+ paid company holidays - 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future) Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.