Think Beyond The Label Jobs

Description

AWS 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.

As the Software Development Manager for the ML Applications - Multi-modal team, you will be responsible for leading a strong team of engineers to help design and deploy ML applications/usecases on LLMs that leverage all modes of input/output-generation such as Text, Vision, Video, Audio etc. You will be responsible for the full development life cycle of providing inference support for the multi-modal models such as MM-GPT, CLIP, BLIP2 etc. Develop reliability/scalability features and performance optimizations in the Neuron ML Framework components to enable them make Trainium and Inferentia devices as the first-class citizens for ML Acceleration. Lead the way to ensure support for key ML functionality in a combined chip / software platform. Ensure the right thing is being built and delivered to customers

A successful candidate will have an established background in optimizing Machine Learning framework components along-with a strong technical ability to work/deliver on a vertically integrated system stack that consists of a combinatorial matrix of hardware, frameworks, and workflows. Deep expertise in optimizing performance for non-text language models using Python/C++ is a must along-with direct customer-facing experience and a strong motivation to achieve results.

Key job responsibilities

Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:

Solve challenging technical problems, often ones not solved before, at every layer of the stack.

Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.

Build high-quality, highly available, always-on products.Research implementations that deliver the best possible experiences for customers.

A day in the life

You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.

About the team

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.

Why 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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.

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.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

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

• Experience partnering with product or program management teams

Preferred Qualifications

• 2 years experience leading teams that in Machine Learning development including building and training large models, working with Pytroch 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $148,000/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.