Software Dev Engineer - Machine Learning Apps, Accelerator, Annapurna ML

Software Dev Engineer - Machine Learning Apps, Accelerator, Annapurna ML

By applying to this position, your application will be considered for all locations we hire for in the United States.

Please make sure you read the following details carefully before making any applications.

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 Canada and Israel. Annapurna 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, and ML chip accelerator.

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.

If this sounds exciting to you, come build the future with us!

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.

BASIC QUALIFICATIONS

• 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 May 2023 to September 2025. Possible start dates for this role are between January 2025 to October 2025.
• Programming experience in internship or coursework with programming languages such as Python and / or C or C++.
• Candidates with strong interests and academic qualifications / research focus in two of the following : Distributed systems, algorithms (MPI, NCCL, or similar), Operating System - Linux system programming / services, Computer architecture, System Development, Complexity analysis.

PREFERRED QUALIFICATIONS

• Previous technical internship(s), if applicable.
• Experience with distributed, multi-tiered systems, algorithms, and relational databases.
• Experience in optimization mathematics such as linear programming and nonlinear optimization.
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly.

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.

J-18808-Ljbffr