June 25, 2026
Guidance, Navigation & Control (GNC) Engineer
Mid • On-site
144,996 - 195,000 USD/yr
Redmond, WA
Position Overview
As a GNC (Guidance, Navigation, and Control) Engineer, you will own the ADCS of in-orbit data centers. You will develop algorithms, simulations, and tools, leveraging a strong foundation in orbital mechanics, control theory, state estimation, and software development. You will select ADCS architectures, create and maintain production code, perform detailed performance analysis, and support on-call operations to ensure the satellite network operates at peak efficiency.
Key Responsibilities
Algorithm and Software Development
- Develop and implement high-reliability and high-performance GNC algorithms, simulations, tools, and dashboards.
- Participate in architecture, design, and code reviews to ensure high-quality software solutions.
- Conduct comprehensive data analysis to review performance metrics from elements of the satellite constellation and network.
- Produce detailed technical documentation for programs, algorithms, and analytical methods.
System Integration and Support
- Support on-call operations rotation, command satellites, and review network data to maintain optimal performance.
- Collaborate with cross-functional teams to enhance GNC system performance and ensure seamless integration.
Optimization and Analysis
- Perform constellation design and optimization, fleet management, satellite orbit transfer automation, and collision avoidance.
- Conduct constellation-level and network-level analysis of existing and proposed satellite systems.
Basic Qualifications
- Bachelor's degree in Computer Science, Aerospace Engineering, Physics, or a related engineering discipline.
- Experience developing, debugging, and deploying software for spacecraft GNC.
- Deep understanding of orbital mechanics, including low thrust trajectory optimization and stationkeeping.
Preferred Qualifications
- Master's degree or PhD in an engineering discipline or Physics.
- Experience verifying GNC algorithm performance through simulation and validating simulation models.
- Expertise in state estimation, including attitude determination, orbit determination, GNSS, and radio navigation.
- Familiarity with numerical probability of collision methods such as Alfano, Foster, and Hall.
- Knowledge of spacecraft flight disciplines including structures, propulsion, avionics, GNC, flight software, dynamics, launch and mission operations, and integration.
- Strong problem-solving and analytical skills.
- Ability to work independently in a fast-paced environment.
- Strong written and verbal communication skills.
Compensation and Benefits
Annual salary:
- L1: $120,000 - $155,000
- L2: $145,000 - $195,000
- Stock options, discretionary bonuses, and long-term incentives.
- Medical, vision, and dental coverage.
- 401(k) retirement plan with company match.
- Short and long-term disability insurance, life insurance, and paid parental leave.
- Paid vacation, holidays, and sick leave.
Additional Requirements
- Willingness to work extended hours and weekends as necessary to support critical project milestones.
- Must be a U.S. citizen, lawful permanent resident, or eligible for authorization under U.S. export regulations.
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Senior
Remote
🏢 Summary: Senior technical role leading research, architecture, and development of advanced motion planning and control systems for production autonomous vehicles. The position focuses on designing probabilistic, search-based, and geometry-based algorithms, integrating them into high-performance C++ systems, and driving end-to-end deployment in complex real-world environments. It involves cross-functional leadership, system optimization, and mentorship within a robotics-focused engineering team. 🗂️ Requirements: PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering or related field OR Master’s degree with 7+ years robotics experience, 10+ years research experience in robotics or motion planning, 5+ years professional C++ development experience, Proven experience leading complex technical features from research to production deployment, Experience developing high-performance, reliable software systems, Strong background in motion planning and decision-making under uncertainty, Ability to lead cross-functional technical projects 📃 Skills: C++, Robotics, MotionPlanning, Algorithms, ProbabilisticModels, GaussianMixtureModels, HiddenMarkovModels, ParticleFilters, MachineLearning, BayesianInference, Bazel, TrajectoryOptimization, ControlSystems 🏢 Description: Role Responsibilities: Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain. This includes advanced search-based and geometry-based methods, as well as decision-making under uncertainty with a strong emphasis on probabilistic approaches. Lead cross-functional projects to define new or upgrade existing interfaces to solve problems. Monitor overall system performance to identify areas for improvement and develop technical strategies to address deficiencies. Guide cross-functional project teams to provide comprehensive solutions and think beyond the confines of the planning system. Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment. Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms. Drive technical collaboration and interface with perception and prediction components upstream and trajectory optimization, tracking, and control components downstream to ensure end-to-end system performance. Leverage deep software development and research expertise to teach better software practices and principles. Guide and mentor junior and senior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development. What We're Looking For: PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master’s degree with 7+ years of experience in robotics (preferably autonomous vehicles industry). 10+ years of research experience in robotics or motion planning, with a proven track record of contributing to state-of-the-art solutions and leading significant projects. 5+ years of C++ software development experience, focused on high-performance and reliable systems. Experience owning and leading technical development of complex features from problem formulation through research, implementation, and deployment in production environments. Strong drive for innovation and advancement in autonomous driving technology. Skills Appreciated: Experience with probabilistic models, including Gaussian mixture models, Hidden Markov Models, and Particle Filters. Experience with machine learning techniques such as Bayesian modeling and inference for decision-making under uncertainty. Experience with the Bazel build framework. Compensation and Benefits: Salary Range: $240,000—$330,000 USD (base salary). This role may include additional compensation such as bonus or company equity. Eligible positions include benefits such as medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.