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Remote Autonomous Systems Engineer Jobs in Bothell, WA

Principal Technical Artist

Seattle, WA · Remote

$130K - $155K/yr

Parallel Domain builds the platform that validates the next generation of autonomous systems in ... Programming fluency. Productive across some combination of Python, C++, HLSL, VEX, and shell. You ...

Principal Technical Artist

Seattle, WA · On-site +1

$144K - $173K/yr

Parallel Domain builds the platform that validates the next generation of autonomous systems in ... Programming fluency. Productive across some combination of Python, C++, HLSL, VEX, and shell. You ...

... autonomous systems directly into the Brex platform. Our teams develop AI agents that don't just ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Lead and ...

... engineering and AI strategy expertise.2. Technical Standardization & Playbooks: Develop the organization's first "Solution Blueprints" for core industries like Autonomous Systems (AV), Robotics, and ...

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Remote Autonomous Systems Engineer information

See Bothell, WA salary details

$59.8K

$142.2K

$186.7K

How much do remote autonomous systems engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote autonomous systems engineer in Bothell, WA is $142,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $175,500.00 per year, depending on experience, location, and employer.

What are Remote Autonomous Systems Engineers?

Remote Autonomous Systems Engineers are professionals who design, develop, and maintain autonomous systems—such as drones, robots, or vehicles—while working remotely. They use advanced software, sensors, and algorithms to ensure these systems can operate independently and safely. Their work involves tasks like programming control systems, integrating hardware components, and troubleshooting issues from a remote location. These engineers often collaborate with teams virtually and leverage cloud-based tools to monitor and update autonomous systems deployed in various environments.

What are some common challenges faced by Remote Autonomous Systems Engineers, and how can they be addressed?

Remote Autonomous Systems Engineers often encounter challenges related to communication and collaboration, as they work with multidisciplinary teams across different locations and time zones. Managing system integration and troubleshooting without on-site access can also pose difficulties, requiring strong documentation and remote diagnostic tools. Staying updated on rapidly evolving technologies in autonomy further demands ongoing learning. To address these challenges, engineers should leverage clear communication channels, utilize collaborative platforms, and participate in continuous training opportunities.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Systems Engineer, and why are they important?

To thrive as a Remote Autonomous Systems Engineer, you need a strong background in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Experience with simulation tools like ROS (Robot Operating System), MATLAB, and familiarity with machine learning or AI frameworks are typically required, along with certifications in automation or robotics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills and qualities are essential for designing, troubleshooting, and improving autonomous systems while collaborating efficiently within distributed teams.
What are popular job titles related to Remote Autonomous Systems Engineer jobs in Bothell, WA? For Remote Autonomous Systems Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Remote Autonomous Systems Engineer jobs? Cities near Bothell, WA with the most Remote Autonomous Systems Engineer job openings:
Infographic showing various Remote Autonomous Systems Engineer job openings in Bothell, WA as of June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $142,212 per year, or $68.4 per hour.
Chief Engineer - ML, Physical AI, & Autonomy

Chief Engineer - ML, Physical AI, & Autonomy

Blue Origin

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Blue Origin rating

8.8

Company rating: 8.8 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

7th of 60 rated aerospace companies


Job description

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin's mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design.

Chief Engineer - ML, Physical AI, & Autonomy

Location: Kent, WA (preferred) | Denver, CO | Florida | Huntsville, AL | Texas | California | Remote consideration

Security Clearance: Ability to obtain a DoD U.S. Secret clearance. U.S. citizenship required.

About the Role

Blue Origin is building a world-class Machine Learning, Physical AI, and autonomy organization to power our next generation of space vehicles, lunar systems, and robotic platforms. Our vision of millions of people living and working in space will require advanced robotics and Physical AI of all kinds. To this end we are seeking a senior ML / Autonomy / Physical AI technical leader to anchor this capability - architecting and training the models that will enable autonomous operations on the lunar surface and across our space systems. We look to fly these capabilities into space and to the lunar surface on upcoming missions.

This is a Technical leader role for our ML, autonomy, and Physical AI capability, with the mandate to lead a focused team of 6-8 engineers. You will define the Digital Twin simulation and training pipeline, train and architect models, deploy them onto our platforms and infrastructure, and shape Blue Origin's strategy in this area. You will engage with peers in academia, industry, and government. You will report into senior leadership and have direct visibility with Executive leadership.

Key Responsibilities:

  • Model Architecture & Training: Lead design and training of ML models for autonomy, perception, decision-making, and control in space applications

  • Digital Twin & Simulation: Define the simulation and training pipeline needed for the different lunar surface and in-space applications

  • Platform Integration: Operationalize models - deploy, run, and integrate into Blue Origin systems and infrastructure

  • Team Building: Recruit, build, and lead a focused team of 6-8 ML/autonomy engineers

  • Technical Strategy: Define autonomy reference architectures spanning lunar surface operations, in-space servicing, autonomous landing, and orbital robotics

  • Cross-Functional Integration: Partner with GN&C, avionics, software, and systems engineering to translate research advances into deployable autonomy

  • Assured Autonomy: Champion V&V, runtime assurance, uncertainty quantification, and safety cases for high-consequence space systems

  • External Engagement: Represent Blue Origin with customers, partners, and academia

  • Executive Visibility: Brief Executive leadership on autonomy capability and roadmap

Minimum Qualifications:

  • M.S. in Computer Science, Electrical/Computer Engineering, Aerospace Engineering, Robotics, Applied Math, or related technical field

  • 12+ years (Level 7) / 10+ years (Level 6) of progressive experience developing autonomy, robotics, or ML systems for real-world deployment

  • Industry leader in developing AI/ML models and training techniques for physical AI

  • Demonstrated technical leadership of complex multi-disciplinary efforts

  • Deep expertise in two or more of the following:

    • Model architectures and training techniques for Physical AI systems

    • Computer vision and perception (detection/segmentation, SLAM, visual-inertial odometry, sensor fusion)

    • Robotic manipulation, grasping, and contact-rich tasks

    • Modern ML stack (PyTorch / JAX / TensorFlow), training pipelines, and model deployment

    • Decision-making under uncertainty (RL, MPC, MDP/POMDP, hybrid planning)

    • GN&C-integrated autonomy (rendezvous & proximity operations, hazard detection & avoidance, terrain-relative navigation, powered descent guidance)

    • Multi-agent / swarm systems and distributed autonomy

  • Production-quality coding skills in Python and C/C++

  • Experience taking concepts from research through integrated demonstration

  • Excellent technical communication; able to brief executives, customers, and engineers

Preferred Qualifications:

  • Ph.D. in a relevant technical field

  • Prior automotive / AV autonomy, aerospace, defense, or safety-critical systems experience

  • Experience with foundation models / Vision-Language-Action (VLA) models for robotics

  • Familiarity with V&V for ML/AI in high-consequence applications (formal methods, runtime monitors, uncertainty quantification, SOTIF/ISO 21448)

  • Experience with simulation frameworks: Isaac Sim, Gazebo / Ignition, MuJoCo, MATLAB/Simulink, custom physics engines

  • Experience with ROS / ROS2, DDS, or analogous middleware

  • Experience deploying ML on edge / embedded / radiation-tolerant compute (Orin, Versal, rad-hard SoCs, FPGAs)

  • Familiarity with lunar surface operations, cislunar logistics, or in-space servicing/assembly/manufacturing

  • Active U.S. Secret or Top Secret/SCI clearance

  • Publications in NeurIPS, ICML, ICLR, ICRA, IROS, RSS, CoRL, AIAA SciTech / GNC, or equivalent

  • Experience with proposal writing for NASA / DARPA / AFRL / SDA programs


Compensation Range for:

WA applicants is $253,878.00 - $355,429.20

Other site ranges may differ

Culture Statement

Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S.as a refugee or granted asylum.

Background Check

  • Required for all positions: Blue's Standard Background Check

  • Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation

  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.

  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

  • Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.

  • Stock Options for all regular employees (working at least 20 hours/week)

  • Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.

  • Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here.

Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us atEEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.


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About Blue Origin

Sourced by ZipRecruiter

Blue Origin is a private aerospace manufacturing and suborbital spaceflight services company based in Kent, Washington, USA. Established in 2000 by Amazon founder Jeff Bezos, the company operates in the cutting-edge aerospace industry aiming to build a future where millions of people can live and work in space. They develop a variety of technologies, with a focus on reusable rocket systems which significantly reduce the cost of space travel. Blue Origin's core mission is to make this vision come to life by incrementally building on its successes with an ultimate vision of dramatic cost reduction and increased reliance on reusable spacecraft.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Kent, WA, US

Year founded

2000