Software Development Engineer - Compiler

Job Description

Are you excited about Machine Learning, chip acceleration, compilers, storage, systems, or EC2? Are you passionate about delivering high-quality services that affect hundreds of thousands of users? Join the Annapurna Labs team, the "secret sauce" behind AWS's success, with development centers in the U.S. and Israel. Annapurna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.

Key Responsibilities

• Innovate and deliver creative software designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety.
• Write requirements capturing documents, design documents, integration test plans, and deployment plans.
• Communicate status and progress of deliverables to schedule, and share learnings/innovations with your team and stakeholders.

Basic Qualifications

• Currently enrolled in, or completed a Bachelor’s degree program or higher in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Programming experience in internship or coursework with programming languages such as Python and/or C or C++.
• Strong interests and academic qualifications/research focus in two of the following:
  • Knowledge of code generation, compute graph optimization, resource scheduling
  • Data structure and algorithms
  • Compiler - Optimizing compilers (internals of LLVM, clang, etc)
  • Machine Learning - Experience with XLA, TVM, MLIR, LLVM
  • Deep learning models and algorithms
  • Tensorflow, PyTorch, or MxNET frameworks

Preferred Qualifications

• Knowledge of code generation, compute graph optimization, resource scheduling
• Previous technical internship(s), if applicable.
• Experience in optimization mathematics such as linear programming and nonlinear optimization.
• Ability to effectively articulate technical challenges and solutions.

About the Role

The Annapurna team hires for multiple disciplines including Software and Hardware engineers, compiler engineers, machine learning engineers, runtime engineers, performance engineers, and ML chip accelerators. Our team’s breadth of talent has improved AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia, and Trainium ML Accelerators, and in storage with scalable NVMe.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Equal Opportunity Employer

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.