Datacenter Robotics Engineer, Datacenter Robotic Products & Services

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensures our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Within AIS the DC Robotics team is growing in maturity so now is the time to join and drive game changing and rapid innovation used by AWS globally. Our designs will fundamentally change the data center providing operational and financial benefits that are critical to the success of the AWS business and its millions of customers. Our engineers solve challenging technology problems and take big bets on new concepts enabling AWS services to continue to revolutionize the industry. This role provides the opportunity to be a technical lead driving the innovations being developed and deployed in the next generation data centers.

AWS is seeking a Robotics Engineer to support building systems that operate in our data centers and collect rich sensor data at scale. Were seeking a Generalist Machine Learning Engineer to own the ML that turns robot-collected data imagery LiDAR thermal streams etc into useful reliable outputs. The ideal candidate has a proven track record of reliable performance in production across a broad range of problems perception model fine-tuning evaluation and the pipelines that feed and serve them. This role closely collaborates with robotics and software engineers so model outputs are usable downstream and so field data feeds back into better training data and better models.

As Amazon has a global presence intermittent travel will be necessary and should be expected to be approximately 30% to AWS offices data centers suppliers vendors and product validation tests. While most travel will be domestic some international travel may be required.

About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelors degree or above in computer science machine learning engineering or related fields
- 4 years of professional software engineering experience including shipping ML to production.
- Strong general software engineering and debugging skills and fluency in Python.
- Hands-on experience owning problems across the full ML stack: data/feature pipelines model training evaluation and deployment.
- Hands-on experience with the AWS ML stack (or equivalent) Amazon SageMaker AI (training tuning endpoints) Amazon Bedrock S3-based data/feature pipelines and GPU training on EC2.
- Computer vision / perception experience (detection segmentation recognition) on real-world sensor data RGB PCD etc.

- Experience as the sole or lead ML engineer on a team of otherwise non-ML engineers.
- Familiarity with robotics data and tooling (ROS 2 MCAP sensor fusion) and edge deployment.
- Experience fine-tuning and evaluating open models / LLMs and building evaluation harnesses.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 116800.00 - 160000.00 USD annually

Required Experience:

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