Software Engineer, AWS Parallel Computing Service

Amazon is hiring a Software Engineer, AWS Parallel Computing Service in Boston, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

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.

Basic qualifications

- 3+ 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
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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, Boston - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Engineer, AWS Parallel Computing Service at Amazon rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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. Read the description and count the AI tools, models and workflows it names.