Description

Amazon is seeking exceptional embedded software engineering talent to develop the on-robot software components that connect intelligent robots to fleet-scale cloud systems, enabling telemetry collection, model deployment, over-the-air updates, and fleet coordination at unprecedented scale. We're building revolutionary software infrastructure that combines AI, large-scale distributed systems, and advanced robotics orchestration to create adaptable automation solutions capable of coordinating heterogeneous robot fleets safely alongside humans in dynamic industrial environments.

As a Senior Embedded Software Development Engineer, you will own on-robot software components that bridge the gap between autonomous robot intelligence and cloud-based fleet management. You will work at the intersection of embedded systems and cloud-connected distributed architectures, ensuring that on-robot software operates reliably under real-time constraints, bandwidth limitations, and the safety requirements of industrial environments where robots work alongside humans. Your work will enable robots to receive fleet coordination commands, publish operational telemetry, receive over-the-air software and model updates, and participate as intelligent members of a coordinated fleet.

The ideal candidate brings deep expertise in embedded software development with a strong understanding of how embedded systems integrate with cloud infrastructure and large-scale distributed operations. You are hands-on, writing production-quality embedded code and building resilient software that operates in resource-constrained environments. You can reason about latency requirements, failure modes, data flow direction, and graceful degradation. If you're passionate about building the embedded software that makes robots smarter, more connected, and more capable as part of a coordinated fleet, this role offers the chance to make a lasting impact on the future of automation.

Key job responsibilities
- Design, develop, and maintain on-robot software components that enable reliable connectivity between robots and cloud systems, supporting capabilities such as telemetry, remote updates, fleet coordination, and continuous learning.
- Build embedded software that operates reliably under real-time constraints, handling bandwidth-constrained environments, intermittent connectivity, and the sensor data volumes generated by modern industrial robots.
- Collaborate with on-robot teams through joint architecture sessions to define and maintain clean software interfaces, with boundaries shaped by latency requirements, scope of optimization, data flow direction, failure modes, and development velocity.
- Develop and maintain automated test frameworks for on-robot software components, including hardware-in-the-loop testing, simulated fleet scenarios, and integration tests that validate the on-robot to cloud communication path end to end.
- Collaborate with applied science and data infrastructure teams to ensure on-robot telemetry and model deployment components meet the requirements of continuous learning pipelines and fleet intelligence systems.
- Collaborate with fleet management and platform teams to ensure on-robot components integrate cleanly with fleet management software, platform services, deployment infrastructure, and monitoring and alerting systems.
- Contribute to the design of robot communication APIs and platform architecture, ensuring they support scalability and multi-tenant requirements for both internal operations and future external customers.
- Leverage AI-native development practices and AI coding assistants to accelerate development while maintaining the quality and reliability standards required for embedded systems in industrial environments.

Basic Qualifications

- 10+ 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
- Experience in embedded development in C/C++

Preferred Qualifications

- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with AI-native development practices and AI coding assistants

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.