Software Engineer - Robot Learning, Amazon Robotics - Vulcan Stow
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 12, 2026. Amazon scores A on the Alion truth index.
Our organization in Amazon Robotics builds robots that perform contact-rich manipulation safely and reliably in complex, unstructured environments at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle unparalleled object diversity with the high level of assurance our customers expect. We learn from real-world data at a scale that few teams in robotics can access.
We are seeking a Software Development Engineer to accelerate a small team advancing reinforcement learning for manipulation. You will drive the software path from a trained policy to reliable execution on real robots, and build the tooling and automation that help the team run and scale experiments. You will create new tools and pipelines while leveraging existing work from adjacent teams to move fast and scale quickly. You will help get learned policies running on hardware, in real time, and turn promising research results into capabilities that run robustly on physical robots. You will join a small team whose mission reaches beyond any single product: to pick and stow billions of items across many future robotics applications.
Key job responsibilities
- Build the tooling and automation the team needs to run and scale experiments, automate evaluation, and move data where it needs to go. Leverage existing solutions where they exist, but develop novel systems when required.
- Partner with scientists to get learned policies running in real time on robot hardware, and help close performance and latency gaps.
- Identify and remove the recurring engineering bottlenecks that slow the team down.
- Write production-quality code and build systems the team can rely on and reuse.
- Partner with teams across simulation, control, hardware, and infrastructure to scale reliably and quickly.
A day in the life
Amazon offers a full range of benefits that assist you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Basic qualifications
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 4+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- Experience working effectively with science, data processing, and software engineering teams
- Experience building and operating scalable backend systems, services, or data pipelines
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with hardware/software integration and real-time systems
- Experience with machine learning infrastructure, such as training pipelines, GPU/accelerator workloads, or experiment orchestration
- Experience improving the productivity of a research or science team through tooling and infrastructure
- Experience with robotics software stacks or simulation environments
- Familiarity with reinforcement learning or the training-to-deployment lifecycle for learned models
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually