About this opportunity
Amazon lists this Software Dev Engineer I - Graviton Software, Annapurna Labs opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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
Basic Qualifications
Are 18 years of age or older
Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
Preferred Qualifications
Experience from a technical internship
Experience in optimization mathematics such as linear programming and nonlinear optimization
Experience with distributed, multi-tiered systems, algorithms, and relational databases
Work 40 hours/week, and overtime as required
Experience from previous technical internship(s) or demonstrated project experience
Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
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 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
USA, TX, Austin - 110,500.00 - 160,000.00 USD annually
Company
Annapurna Labs (U.S.) Inc.
Job ID: A
#J-18808-Ljbffr
Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.