Senior Software Development Engineer, Annapurna Labs, Elastic Collectives at Amazon SZ South 3 GmbH

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C/C++, Linux Systems, Performance Tuning, Optimization Techniques, Machine Learning, High-Speed Networking, Embedded Systems, API Design, Low-Latency Features, High-Throughput, Mentorship, Distributed Systems, Collective Operations, AWS, HPC, Software Development Life Cycle

Industry

Software Development

Description

We seek an experienced engineer to work on distributed Artificial Intelligence/Machine Learning (AI/ML) systems. This role focuses on developing high-performance collective operations - the fundamental operations that enable AI to scale efficiently across multiple accelerators and servers. Most of our stack uses C/C++ at a relatively low level, requiring knowledge of Linux systems and performance-optimized code. We value experience with ML frameworks, performance tuning and optimization techniques, embedded systems, and high-speed networking interconnects. Experience optimizing ML workloads is particularly valuable for this role. If you enjoy solving complex performance challenges, want to work with ML customers, iterate quickly, and deliver optimized solutions at scale, join us! You'll work on the forefront of AI/ML, developing high-throughput, low-latency features for the largest clusters, with the largest customers, for the largest AI models. Key job responsibilities You'll work on the stack from ML collective frameworks to the libfabric and Elastic Fabric Adapter (EFA) stacks. Your focus will be designing and implementing Application Programming Interfaces (APIs) and features, as well as optimizing performance at every layer, reducing latency, and maximizing throughput for ML workloads on AWS A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you’d be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you’ll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. About the team Annapurna Labs, an integral part of Amazon Web Services (AWS), develops hardware and software components that serve as critical building blocks for Elastic Compute Cloud (EC2) infrastructure. Every instance in EC2 runs hardware designed by Annapurna Labs. We specialize in designing performance-optimized software, systems, and chips that enhance the AWS customer experience. Basic Qualifications: - 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 Preferred Qualifications: - Master's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Responsibilities

You will design and implement APIs and features while optimizing performance for ML workloads on AWS. Your work will involve collective frameworks and networking stacks to enhance AI scalability across multiple accelerators and servers.