Sr. Software Development Engineer, Annapurna Labs

Job Description In this role, you will be responsible for leading a technical team that provides profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks, and automatically providing improvement recommendations. Key job responsibilities include: Provide technical leadership to the Neuron Core Tools team Work closely with the frameworks and compiler teams Collect requirements from various other teams, including training, inference, and runtime Collaborate with the compiler performance team to ensure timely release of the core performance tools Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large-scale compute 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. 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. Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture that empowers us to be proud of our unique qualities. 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. 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. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. About AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. BASIC QUALIFICATIONS: 10+ years of engineering experience 10+ years of planning, designing, developing, and delivering consumer software experience Experience partnering with product or program management teams Experience as a tech lead of a large group of engineers QUALIFICATIONS: Experience designing and developing large-scale, high-traffic applications Experience with ML hardware/Software Experience with ML compilers and custom kernels for AI Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, or other legally protected status. Amazon will consider for employment qualified applicants with arrest and conviction records. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market.

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