Beacon AI

Engineering

LeadSoftwareEngineer,AdvancedPilotAssistantSoftware(Autonomy/Robotics)

$185–260k San Carlos, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Software Engineer, Advanced Pilot Assistant Software (Autonomy/Robotics) at Beacon AI. Skills: Autonomy, Robotics, Embedded systems, Pilot assistance software. Design robotic software. Build robotic software”

Industry & Context.

Engineering
Problems you'll solve

Debugging hardware/software interactions

Eligibility Requirements

All work in United States

What They're Looking For.

Must Have

5+ years experience designing robotic software, 5+ years experience deploying robotic software, 5+ years experience designing embedded systems, 5+ years experience deploying embedded systems, Software engineering skills in C++, Software engineering skills in Python, Experience in systems-level programming, Experience in embedded programming, Experience building real-time systems, Experience building interactive systems, Experience supporting users making time-sensitive decisions, Hands-on experience with embedded platforms, Hands-on experience with edge compute platforms, Debugging hardware/software interactions, Deliver complex systems end-to-end, Work in fast-moving environments, Work in ambiguous environments, U. S. Persons only

Nice to Have

Experience working on safety-critical systems, Experience working on mission-critical systems, Aviation domain experience, Robotics domain experience, Familiarity with ROS, Familiarity with DDS, Experience supporting human operators, Experience with simulation environments, Experience with real-time control systems, Advanced mobility background, Autonomy background, Robotics background

What You'll Do.

Design robotic software

Build robotic software

Deploy robotic software

Own autonomy-related features

Own autonomy-related subsystems

Drive work from 0 to 1

Integrate software with hardware

Integrate software with sensors

Integrate software with perception pipelines

Integrate software with data ingestion pipelines

Optimize software for edge compute

Implement safety mechanisms

Lead validation efforts

Lead deployment efforts

Contribute to technical direction

How You'll Work.

Team & Collaboration

Hands-on collaboration

Process & Methodology

Deliver complex systems end-to-end

Full Job Description

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 Lead 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 take ownership of mission-critical functionality, contribute hands-on across the stack, and mentor a small team while delivering reliable systems that support time-sensitive decision-making for human operators. What You’ll Do - Design, build, and deploy robotic and embedded software that powers advanced pilot assistance systems in production environments. - Own autonomy-related features or subsystems from concept through deployment, driving work from 0 to 1 with a 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 appropriate 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. What Will

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