| Location | Boston, MA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
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 Senior Software Development Engineer (Sr. 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 a Sr. SDE on this team, you will define architectures and lead the design and implementation of critical components for systems that operate at global scale. You will collaborate with engineers across multiple AWS teams to influence the underlying services your customers depend on, drive software quality and engineering best practices, and help your team deliver reliable, performant solutions faster. If you thrive when priorities shift, enjoy working through ambiguity, and want your work to directly impact how customers run large-scale compute workloads in the cloud, we"d love to hear from you.
To learn more about HPC at AWS see https://aws.amazon.com/hpc/
Key job responsibilities
A day in the life
Your morning might start with leading a design review for 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, building a prototype that validates a new approach to workload orchestration for very large clusters. Later, you join a cross-team sync with partner AWS service teams to align on an API contract. 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.