Software Engineer, AWS Parallel Computing Service

Are you excited about building cloud infrastructure that enables researchers, scientists, and engineers to tackle some of the world's most computationally intensive problems? The AWS High Performance Computing (HPC) team is looking for a Software Development Engineer (SDE) to help advance the AWS Parallel Computing Service (PCS), This service allows customers to plan, schedule, and execute HPC workloads across the full range of AWS compute capabilities.

As an experienced SDE you'll be involved with the definition of the architectures to build larger, more complex services that surprise and delight our customers. You'll lead the design and implementation of critical components, drive software best practices concerning quality, security, operational excellence, and will help the team to deliver higher quality software faster.

The ideal candidate will be passionate about the opportunities that AWS PCS provides our customers, and about building simple and elegant software solutions and customer-centric features. This person has thrived, and succeeded in delivering high quality sustainable solutions when priorities shift fast, working as a team or independently as the situation dictates. If you're looking to solve challenging technical problems and create great products for customers, then this is the right role for you!

To learn more about HPC at AWS see https://aws.amazon.com/hpc/

Key job responsibilities
- Lead the end-to-end implementation, and delivery of complex features for AWS PCS, ensuring systems are scalable, maintainable, and secure.
- Influence the team architectural direction, balancing short-term delivery needs with long-term extensibility, and guide technology choices that shape the service roadmap.
- Collaborate with engineers, product managers, and partner teams to define requirements, align on system interfaces, and deliver service features.
- Facilitate engineering best practices across the team, including code quality, testing strategies, operational excellence, and effective use of generative AI tools to improve productivity.
- Mentor other engineers through design reviews, code reviews, and hands-on guidance, raising the overall technical bar of the team.

A day in the life
Your morning might start with a design review of a new component, where you work through trade-offs with your team before writing a technical design document. After lunch you could be deep in code performing the more complex implementation tasks on a project that improves observability into resource consumption for large heterogeneous clusters. Later, you lead the project standup with other SDEs to ensure the team is aligned on the technical approach for the new feature. Throughout, you balance hands-on engineering with guiding teammates on their own projects, ensuring the pieces come together into a cohesive product.

About the team
The AWS High Performance Computing team builds services that empower customers to run complex computational workloads simply and efficiently in the cloud. We work at the intersection of distributed systems, scheduling, and cloud infrastructure, serving researchers and engineers across industries who need reliable, large-scale compute.

Our team values knowledge sharing and mentorship. We maintain an inclusive environment where engineers at every experience level learn from one another through thoughtful code reviews and collaborative problem-solving. We are growing and investing in new capabilities, and this is an exciting time to help shape the future of parallel computing on AWS.