Software Dev Engineer I Compiler, Graviton Software, Annapurna Labs

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.

Youll 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 doesnt mean you have or will have all those skills but youll 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
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- 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)

- Masters 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.

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