Staff Autonomy Engineer

Archer • San Jose, CA

2d • $168,000 - $200,000

About The Position

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You'll Do Architect Autonomy Frameworks: Lead the system architecture and feature development for autonomous flight systems, with a specific focus on multi-agent coordination, task allocation, and resource scheduling in real-time environments. GNC Software Integration: Design, implement, and integrate C++ product software for guidance, navigation, and control modules. Ensure portability and scalability across diverse aerial platforms, overseeing the transition from algorithmic design to embedded deployment. State Estimation & Localization: Serve as the subject matter expert for state estimation and localization, developing software packages that fuse data from passive sensing, GPS, and IMU to ensure robust navigation in day, night, and off-road environments. Cross-Functional Leadership: Partner with Systems Engineering and Flight Test teams to drive performance analysis. Lead the definition of verifiable software requirements, ensuring GNC considerations are integrated into vehicle navigation and obstacle avoidance algorithms. Safety & Compliance: Direct the development of safety-critical autonomy software, coordinating safety compliance with agencies like the FAA or NASA, and managing rigorous validation processes for flight control and autonomous path following. Simulation Infrastructure: Champion the development of simulation and hardware-in-the-loop (HITL) test infrastructure. Drive performance analysis of compute loads and communications to improve the rigor of delivered features before flight. Mentorship & Methodology: Lead engineering teams in Agile environments, providing oversight on trajectory generation and control implementation while mentoring engineers in best practices for autonomy and robotics.

Requirements

• Extensive Experience: 8+ years of professional experience in aerospace autonomy, robotics systems, or GNC software development.
• Educational Background: BS in Aerospace, Electrical, or Computer Engineering; an MS or related specialized experience in autonomous systems is preferred.
• Technical Mastery: Expert proficiency in C++ for real-time embedded software and experience with robotics frameworks (such as ROS). Familiarity with integrating software onto autopilots like Pixhawk.
• Autonomy Expertise: Proven track record in robotic teaming, trajectory generation, and mission planning for Unmanned Aerial Systems (sUAS) or planetary exploration vehicles.
• Estimation Depth: Advanced knowledge of state estimation techniques, including vision-based navigation and sensor fusion for operational environments
• Soft Skills: Strong organizational skills with a demonstrated ability to lead complex development initiatives and specialized engineering team

Nice To Haves

• Space & Aviation Heritage: Experience supporting high-profile missions (e.g., NASA) or coordinating with federal aviation bodies.
• Hardware Integration: Experience managing hardware integration for sensing payloads, manipulation methods, or seismometer/tether models.
• Advanced Perception: Expertise in using passive sensing for navigation and environmental perception.
• Test & Validation: Experience conducting Verification & Validation (V&V) for robotics payloads or flight systems.

Responsibilities

• Architect Autonomy Frameworks: Lead the system architecture and feature development for autonomous flight systems, with a specific focus on multi-agent coordination, task allocation, and resource scheduling in real-time environments.
• GNC Software Integration: Design, implement, and integrate C++ product software for guidance, navigation, and control modules. Ensure portability and scalability across diverse aerial platforms, overseeing the transition from algorithmic design to embedded deployment.
• State Estimation & Localization: Serve as the subject matter expert for state estimation and localization, developing software packages that fuse data from passive sensing, GPS, and IMU to ensure robust navigation in day, night, and off-road environments.
• Cross-Functional Leadership: Partner with Systems Engineering and Flight Test teams to drive performance analysis. Lead the definition of verifiable software requirements, ensuring GNC considerations are integrated into vehicle navigation and obstacle avoidance algorithms.
• Safety & Compliance: Direct the development of safety-critical autonomy software, coordinating safety compliance with agencies like the FAA or NASA, and managing rigorous validation processes for flight control and autonomous path following.
• Simulation Infrastructure: Champion the development of simulation and hardware-in-the-loop (HITL) test infrastructure. Drive performance analysis of compute loads and communications to improve the rigor of delivered features before flight.
• Mentorship & Methodology: Lead engineering teams in Agile environments, providing oversight on trajectory generation and control implementation while mentoring engineers in best practices for autonomy and robotics.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees