Senior Software Engineer, Annapurna Labs

Description

• Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org

Description

• Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. Annapurna Labs Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This. This position is for a Senior Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are preferred. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute. Key job responsibilities This engineer will lead the design, development, and operation of a next-generation AI workload orchestration platform built on Kubernetes, enabling scalable job scheduling, multi-node distributed training, and artifact management across Annapurna Labs' custom ML silicon (Inferentia and Trainium families). They will drive architectural decisions across the full stack — from service APIs and workflow orchestration to cluster-level scheduling and resource optimization — targeting high availability and hardware utilization. The role involves close collaboration with ML researchers, SDK developers, hardware design teams, and infrastructure engineers both within Annapurna Labs and across partner organizations to ensure the platform evolves in lockstep with current and next-generation AI accelerators. This engineer will also mentor and technically guide a team of software engineers, setting the bar for operational excellence, system design, and developer experience. A day in the life As a software engineer on the AI workload orchestration platform team at Annapurna Labs, you'll design and build the infrastructure that enables ML engineers and researchers to run large-scale training and inference jobs on custom AI accelerators. You'll also: Architect and implement scalable services spanning Kubernetes operators, workflow orchestration, and scheduling algorithms that maximize hardware utilization across a growing fleet of accelerators. Collaborate daily with ML researchers, SDK developers, and hardware engineers to translate emerging silicon capabilities into platform features. Own the full lifecycle of your systems, from design and implementation through deployment, monitoring, and incident response. Improve developer velocity by refining CLI tools, APIs, and framework integrations that reduce the friction between writing code and running it at scale. Participate in design reviews, code reviews, and operational readiness discussions with a small, high-ownership team where your contributions ship quickly and have immediate customer impact. Work in a fast-paced, startup-like environment where priorities are driven by the next generation of AI hardware on the roadmap. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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