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Amazon · Austin, TX

Sr Software Engineer, Graviton Software, Annapurna Labs

US, TX, AustinSenior individual contributorSoftware Engineering

Listed on Amazon’s official careers site. Posted June 10, 2026. Check that it is still open and apply there.

Apply on Amazon’s careers site →

Job description

The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton.

Graviton delivers the best price/performance in AWS data centers. For the past 3 years, Graviton has powered the majority of new EC2 capacity and is used by over 98% of our largest customers.

You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads.

This doesn’t mean you have or will have all those skills, but you’ll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth.

Key job responsibilities

As a Graviton Software Developer, you will:

Performance Optimization & Analysis

- Enhance architectures and algorithms for optimal performance

- Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks

- Monitor and analyze processor, OS, and workload metrics

- Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc)

Open Source Development

- Contribute to Linux kernel improvements

- Contribute to various other open source projects

- Develop analysis frameworks and automation systems

Tool(s) Development

- Enhance APerf (our open-source Rust-based performance tool)

- Create new performance analysis features

- Build and maintain automation solutions

The role offers opportunities to work on latest CPU technology while contributing to both AWS and the open source community.

A day in the life

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

About the team

The Graviton Software organization ports, optimizes, and develops software to drive down the cost of adoption and operation for the AWS Graviton instances. We pro-actively improve and upstream open source software, including Linux kernel, operating system, compilers, libraries, and applications. We help internal and external customers to troubleshoot and fix performance bottlenecks that prevent them from using Graviton.

We develop tools to automate most of the heavy lifting and maintain publicly available documentation: Graviton Developer Guide on GitHub

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