Software Dev Engineer
hace 2 días
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?
We are dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel.
Annarpuna is at the forefront of innovation by combining cloud scale with the world's most talented engineers.
The Annapurna team hires for multiple disciplines including but not limited to compiler engineer, machine learning engineer, runtime engineer, performance engineer, ML chip accelerator, ASIC, physical designs, and SDE in Test.
Because of our teams' breadth of talent, we've been able to improve 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.
Key Job Responsibilities Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety.
Writing requirements capturing documents, design documents, integration test plans, and deployment plans.
Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholders.
Minimum Requirements Currently enrolled in, or completed a Bachelor's degree program or higher in Computer Science, Computer Engineering, Electrical Engineering, or related field.
To qualify, applicants should have earned a Bachelor's or Master's degree between April 2022 to September 2024.
Possible start dates for this role are between March 2024 to October 2024.
Programming experience in internship or coursework with programming languages such as Python and/or C or C++.
Preferred Qualifications 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.
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.
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.
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