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Autonomous Systems Internship Jobs in Seattle, WA

Systems Engineer

Seattle, WA · On-site

$140K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working with robotics, autonomy, mechatronics, or vehicle systems (incl. academic projects, internships) * Hands-on experience working with integrated hardware / software systems and ...

Software Engineer II, Leo Regulus

Redmond, WA · On-site

$109K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We build autonomous systems and point them at problems that would otherwise require hundreds of engineers. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development ...

Agentic AI Intern

Seattle, WA · Remote

  • Medical

  • Dental

  • Vision

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Agentic AI & Autonomous Systems * Design and implementation of multi-agent systems and autonomous ...

Agentic AI Intern

Seattle, WA · Remote

  • Medical

  • Dental

  • Vision

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Agentic AI & Autonomous Systems * Design and implementation of multi-agent systems and autonomous ...

Senior SDE, Last Mile Delivery

Bellevue, WA · On-site

$138K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We combine robotics, autonomous systems, and artificial intelligence to create safe and efficient ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

... degree of autonomy. You'll be trusted to scope, build, test, and ship with minimal oversight ... Mentor junior ICs and interns as they ramp up on systems and tooling work. Requirements * 2-4 years ...

Systems Analyst II

Seattle, WA · Hybrid

$135K - $169K/yr

... degree of autonomy. You'll be trusted to scope, build, test, and ship with minimal oversight ... Mentor junior ICs and interns as they ramp up on systems and tooling work. Requirements * 2-4 years ...

Software Engineer II, Prime Air

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... autonomous delivery systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns ...

Senior Robotics SDE III, Amazon Robotics - Vulcan

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ... systems for robotics, autonomy, controls, or other complex real-time/near-real-time domains ...

Software Development Engineer, Kiro

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The challenges are unique: building systems that operate autonomously, scaling a tool from internal ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Software Development Engineer, Kiro

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The challenges are unique: building systems that operate autonomously, scaling a tool from internal ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Embedded SDE, Leo Payload

Redmond, WA · On-site

$147K - $193K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... autonomous capabilities for each satellite throughout its lifetime - from launch to de-orbit. In ... Work on the Satellite Communication Systems Payload. Export Control Requirement: Due to applicable ...

OCI Software Engineer Intern - OVIP

Seattle, WA · On-site

$30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Interns will engage in on-the-job training and professional development in fields such as ... We remain the gold standard as the world's first autonomous database and industry's broadest and ...

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Autonomous Systems Internship information

See Seattle, WA salary details

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How much do autonomous systems internship jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for autonomous systems internship in Seattle, WA is $17.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $19.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an autonomous systems intern?

To thrive as an Autonomous Systems Intern, you generally need a solid background in computer science, robotics, or engineering, with coursework or experience in algorithms, control systems, and machine learning. Familiarity with programming languages such as Python or C++, simulation tools like ROS (Robot Operating System), and version control systems (e.g., Git) is typically expected. Strong problem-solving abilities, teamwork, and effective communication are important soft skills for collaborating on complex technical projects. These skills and qualifications enable interns to contribute meaningfully to the development and testing of autonomous technologies in a fast-evolving field.

What is an autonomous systems internship?

An Autonomous Systems Internship is a temporary position for students or recent graduates to gain hands-on experience working with technologies such as robotics, self-driving vehicles, drones, and artificial intelligence. Interns typically assist in designing, developing, and testing autonomous systems under the guidance of experienced engineers or researchers. These internships provide exposure to real-world applications of autonomous technology and often require knowledge of programming, machine learning, or control systems. The goal is to help interns build practical skills, expand their professional network, and prepare for a career in the field of autonomous systems.

What is the difference between Autonomous Systems Internship vs Robotics Engineering Internship?

AspectAutonomous Systems InternshipRobotics Engineering Internship
Required CredentialsRelevant coursework, technical skills in AI, machine learning, and systems integrationEngineering background, robotics courses, programming skills in C++, Python
Work EnvironmentResearch labs, tech companies, autonomous vehicle firmsManufacturing plants, research labs, robotics companies
Employer & Industry UsageAutonomous vehicle developers, AI firms, transportation techRobotics firms, industrial automation, manufacturing

Autonomous Systems Internships focus on developing and testing autonomous technologies like self-driving cars, requiring skills in AI and systems integration. Robotics Engineering Internships emphasize designing and building robotic systems, often involving mechanical and electrical engineering. Both roles are industry-relevant and share overlapping skills but differ in their specific focus areas and work environments.

What types of projects do interns typically work on during an autonomous systems internship?

During an Autonomous Systems Internship, interns often participate in hands-on projects involving robotics, machine learning, sensor integration, or simulation environments. They may assist with developing algorithms for navigation, collaborating on system testing, or supporting data analysis for autonomous vehicles or drones. Interns usually work closely with multidisciplinary teams, gaining exposure to both hardware and software aspects of autonomous systems. This collaborative environment helps interns build practical skills and network with experienced professionals in the field.
What cities near Seattle, WA are hiring for Autonomous Systems Internship jobs? Cities near Seattle, WA with the most Autonomous Systems Internship job openings:
Infographic showing various Autonomous Systems Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $36,795 per year, or $17.7 per hour.

Autonomous Vehicle AI Engineer III - Computer Vision and Path Planning

Blue Origin

Seattle, WA • On-site

$164K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Blue Origin rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 72 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.

This position is for a passionate and driven engineer who wants to apply their skills in AI, machine learning, and robotics to solve some of the most challenging problems in spaceflight. You will be part of a dynamic team responsible for creating systems that allow our vehicles to perceive their environment, make intelligent decisions, and execute complex maneuvers with precision and safety.

Key Responsibilities:

  • Contribute to the development of AI-driven computer vision algorithms to accurately perceive and understand a vehicle's environment using data from cameras, LiDAR, and other sensors.

  • Develop, train, and test machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios.

  • Implement and test path planning algorithms using modern decision-making techniques to ensure safe and efficient navigation.

  • Train, validate, and deployneural networksfor real-time performance on flight-qualified hardware, optimizing for accuracy, speed, and reliability.

  • Collaborate with a multidisciplinary team of GNC, software, and hardware engineers to integrate AI/ML solutions into the vehicle's avionics and flight software systems.

  • Design, build, and use high-fidelity simulation environments to test and validate autonomous algorithms against a wide range of mission scenarios and off-nominal conditions.

  • Analyze data from simulations and flight tests to assess and improve the performance of perception and decision-making systems.

  • Support the continuous improvement of in-housemachine learning pipelinesand tools for data management, model training, and performance monitoring.

  • Optimize AI models for edge and cloud deployment, addressing challenges such as latency, model compression, and distributed computing.

Minimum Qualifications:

  • PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field.

  • Alternatively, a Master's degree in a related field with demonstrated project, research, professional, or internship experience in autonomous systems.

  • Demonstrated experience applying deep learning to computer vision or decision-making.

  • Strong theoretical understanding of sensor fusion, environmental perception, and path planning algorithms.

  • High proficiency in Python and/or C++, along with experience using deep learning libraries such as PyTorch or TensorFlow.

  • A passion for space exploration and a desire to apply your skills to solve complex, real-world challenges.

  • Ability to work collaboratively in a fast-paced, cross-functional team environment.

  • Excellent analytical and problem-solving skills, with a creative and first-principles approach.

Desired:

  • Experience designing, implementing, and training reinforcement learning (RL) agents to solve complex optimization or control problems, including problem formulation, state/action space design, and reward shaping.

  • Experience with simulation environments (e.g., Gazebo,NVIDIA Isaac Sim) and their application to robotics or aerospace.

  • Familiarity with classical Guidance, Navigation, and Control (GNC) concepts.

  • Experience with transformers and large machine learning models.

  • Hands-on experience with deploying and debugging software on embedded systems or robotic hardware.

As an Autonomous Vehicle AI Engineer, you'll have the opportunity to make a significant impact on the future of transportation by crafting the vision systems and decision-making algorithms that define the safety and reliability of our autonomous vehicles. Your contributions will be vital in driving forward innovation in a field that promises to revolutionize global mobility. If you are passionate about AI and its potential in the autonomous vehicle industry, we encourage you to apply.


Compensation Range for:

WA applicants is $164,652.00 - $230,512.80

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.


What Blue Origin employees say

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Blue Origin logo

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