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Beacon AI is building an AI platform to make flying safer, more efficient, and more capable. The company is backed by top investors, has secured a dozen Department of Defense contracts, and partners with major airlines to deliver mission-critical systems.
You will serve as a Lead Software Engineer responsible for designing and building advanced pilot assistance software that supports the flight safety platform. This role combines hands-on engineering with team leadership, requiring you to develop and deploy autonomy, robotics, and embedded systems that operate in real-world, safety-critical aviation environments.
Key responsibilities include:
- Design, build, and deploy robotic and embedded software powering advanced pilot assistance systems in production environments
- Own autonomy-related features or subsystems from concept through deployment, driving work from 0 to 1 with strong focus on reliability and performance
- Write, review, and maintain high-quality Python and 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
- Optimize software for edge compute environments, managing CPU/GPU usage, latency, and implementing safety mechanisms and fail-safes
- Lead testing, validation, and deployment efforts to ensure systems meet safety-critical and mission-critical requirements
- Mentor engineers and contribute to technical direction through design reviews, code reviews, and hands-on collaboration
The company operates 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.
Work location is hybrid based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
REQUIREMENTS:
- 9+ years of experience designing and deploying robotic software and/or embedded systems in production environments
- Strong software engineering skills in C++ and/or Python, with experience in systems-level or embedded programming
- Experience building real-time or interactive systems that support users making time-sensitive decisions
- Familiarity with autonomy-related systems such as planning, decision-making, or reasoning, and integrating with perception or sensor pipelines
- Hands-on experience working with embedded or edge compute platforms and debugging hardware/software interactions
- Proven ability to deliver complex systems end-to-end in fast-moving, ambiguous environments
BONUS:
- Experience working on safety-critical or mission-critical systems, including aviation or robotics domains
- Familiarity with robot operating systems or middleware such as ROS or DDS
- Experience supporting human operators in the loop, simulation environments, or real-time control systems
- Background in advanced mobility, autonomy, and robotics
