Software Development Manager, Neuron Runtime

This job is with Amazon, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Description Annapurna Labs builds high-performance hardware and software solutions used in AWS data centers globally. We're looking for a software development manager with a focus on runtime development of Neuron SDK. As a Software Development Manager for the Neuron Runtime team you will be responsible for leading a strong and excellent team of engineers in design, development, test, and deployment of this Neuron runtime software, including drivers, tools and testing of future and past ML platforms (Pre/Post Silicone). A successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, excellent project skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You will be helping to hire and build your team and systems. Key job responsibilities Responsible for the overall systems development life cycle for our existing and future ML platforms. Management and execution against project plans and delivery commitments. Manage the day-to-day activities of the engineering team within an Agile/Scrum environment. Management of departmental resources, staffing, mentoring, enhancement, and maintaining a best-of-class engineering team. Report on status of development, quality, operations, and system performance to management. Work closely with different teams such as HW Design, HW verification, ML Software teams and make decisions to bring the next ML platforms to AWS. About The Team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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. 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 empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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 3 years of engineering team management experience. 7 years of working directly within engineering teams experience. 3 years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience. Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations. Experience partnering with product or program management teams. Preferred Qualifications 2 years experience leading teams in Machine Learning development including building and training large models, working with Pytorch and/or Tensorflow using large distributed fleets of GPU or other accelerated systems. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us . J-18808-Ljbffr