Senior SDE, Simulation Infrastructure & Platform

AI in this role

Design and scale high-performance cloud-native simulation infrastructure and learning pipelines supporting advanced robotics development.

awspythoncci-cd

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine innovative AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction.

We are seeking a Senior Software Development Engineer to help build and operate the simulation platform supporting advanced robotics development at Amazon. This role focuses on designing and scaling high-performance, cloud-native infrastructure that enables distributed simulation workloads, learning pipelines, and automated validation systems. You will play a key role in transforming advanced simulation capabilities into reliable, maintainable, and scalable software systems that accelerate robotics innovation.

Key job responsibilities
- Design and operate the core simulation platform infrastructure supporting large-scale robotics development and learning workloads
- Architect and scale cloud-native systems in AWS, including distributed job orchestration, resource management, and cost-efficient compute utilization
- Own CI/CD pipelines, build systems, and automated testing infrastructure for complex C++ and Python codebases
- Develop and maintain tooling to manage simulation environments, assets, and versioned artifacts across teams
- Improve performance, reliability, and reproducibility through observability, profiling, and automated regression systems
- Establish and enforce software engineering best practices, including modular architecture, code quality standards, and long-term maintainability
- Partner with robotics and research teams to productionize advanced capabilities into robust, scalable software systems
- Enable large-scale validation, benchmarking, and certification workflows through automated evaluation infrastructure

About the team
Our team is building a comprehensive simulation platform for advanced robotics development, combining locomotion and manipulation capabilities. We operate at the forefront of physics simulation, reinforcement learning, and sim-to-real transfer, collaborating with world-class robotics engineers, applied scientists, and mechanical designers in a fast-paced, innovation-driven environment.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in Computer Science, Computer Systems Engineering, Software Development, Mathematics, or a similar STEM (Science, Technology, Engineering, and Mathematics) field, or experience with programming languages such as Python, Java, C++
- Experience designing, building, operating, and managing large-scale distributed systems or web services
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering, or experience with version control systems and CI/CD pipeline implementation
- Experience developing maintainable, production-quality infrastructure supporting engineering, ML, or scientific computing workflows

Preferred qualifications

- Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
- Experience in software development, or experience in Kubernetes, Docker or containers ecosystem
- Master’s degree in Computer Science, Robotics, or a related technical field
- Experience building internal developer platforms or engineering productivity tooling
- Experience improving and maintaining large C++ codebases
- Experience supporting research-to-production or prototype-to-scale transitions
- Exposure to robotics or simulation systems, including familiarity with common robotics formats and toolchains
- Experience with modern simulation ecosystems (e.g., Isaac Lab, MuJoCo, Drake)
- Experience developing or supporting scalable evaluation, benchmarking, or training workflows
- Contributions to open-source robotics, simulation, or infrastructure projects

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, MA, N.Reading - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior SDE, Simulation Infrastructure & Platform at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AWSPythonCCi Cd

Questions you could be asked

What's a project where you used AWS hands-on?
Walk me through how you've used Python in your day-to-day work.
What are the limits of C that you've run into, and how did you work around them?
What's a project where you used Ci Cd hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: AWS, Python, C, and Ci Cd. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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