Sr. Software Development Engineer, HPC/ML Networking Engineer, Annapurna Labs
About the role
We are seeking an experienced engineer to work on distributed AI/ML systems. This role involves working on collective operations - the fundamental operations that enable AI to scale across multiple accelerators & servers. Most of our stack is C/C++ and relatively low level, so solid knowledge of Linux, kernels, and performant code is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC interconnects is valued highly.
Responsibilities
- Solve hard problems related to AI/ML and HPC workloads
- Work with HPC and ML customers to deliver meaningful solutions at scale
- Iterate fast to bring innovative solutions to market
- Collaborate with infrastructure experts, hardware engineers, RTL engineers, scientists & architects
- Work on the latest advancements in AI/ML
Requirements
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- C/C++ Coding Experience
Qualifications
- Bachelor's degree in computer science or equivalent
- Must have C/C++ Coding Experience
Preferred Qualifications
- Experience with Amazon Web Services (AWS)
- Experience with Amazon EC2
- Experience with Amazon Machine Learning (ML)
- Experience with Amazon Elastic Compute Cloud (EC2)
Benefits
Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Pay
The base salary range for this position is $193,300.00 - $261,500.00 USD annually.
Schedule
Our workforce spans the globe and is truly international, you’ll find yourself working side by side with individuals from numerous countries.