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
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
A day in the life
0- Experience programming languages such as C/C++, Python, Java or Perl
- Candidates should have strong interests and academic qualifications in two or more of the following:
- - Compiler design and optimization (e.g., LLVM, GCC internals, code generation, instruction selection)
- - Computer architecture (e.g., ARM/AArch64, pipelining, memory hierarchies, SIMD/vector extensions)
- - Systems programming (e.g., operating systems, linkers, runtimes, performance profiling)
- - Program analysis and transformation (e.g., loop optimization, register allocation, auto-vectorization)- Master's degree in computer science or equivalent, or experience from previous technical internship(s) or demonstrated project experience
- Experience contributing to open-source compiler projects (LLVM, GCC, or similar).
- Familiarity with performance profiling and micro-architectural optimization on ARM-based processors.
- Knowledge of optimization techniques such as polyhedral models, linear programming, or graph-based scheduling.
- Ability to effectively articulate technical challenges and solutions.
- Comfort with ambiguous or undefined problems and ability to think abstractly.
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, TX, Austin - 110,500.00 - 160,000.00 USD annually