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Perception Engineer Remote Jobs in Seattle, WA (NOW HIRING)

Develop infrastructure for Perception-wide model training and release-ready packaging, ensuring the ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

The Perception team builds the system which learns the spatial-temporal representation and their ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Senior Data Analyst

WA · Remote

$97K - $123K/yr

Experience with data modeling, analytics engineering, or data science practices. * Exposure to ... Familiarity with formal data governance or data quality frameworks. #LI-AS2 #LI-REMOTE Physical ...

Perception Engineer Remote information

See Seattle, WA salary details

$14

$63

$91

How much do perception engineer remote jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for perception engineer remote in Seattle, WA is $63.72, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $84.81 per hour, depending on experience, location, and employer.

What does a Perception Engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What are some common challenges Perception Engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a Perception Engineer (Remote), and why are they important?

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

What is the difference between Perception Engineer Remote vs Computer Vision Engineer?

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

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 19 days ago


Blue Origin rating

8.8

Company rating: 8.8 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

8th 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