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Description

AWS Neuron is the complete software stack for the Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1/Inf2 servers that use them.

As the Sr. SDM for the Neuron Inference Customer Enablement Team, you will be responsible for leading a strong team of Managers and engineers to help optimize customer or open-source models for Inference performance (latency, throughput, scale) on various frameworks such as Pytorch, JAX, Tensorflow. You will be responsible for the full development life cycle of inference performance improvement and reliability/scalability features in our internal NeuronxDistributed and TransformersNeuronx Inference Libraries, as well as contribute to other popular open Inference Libraries. You will strive towards enabling our customers adopt and make Trainium and Inferentia devices as the first-class citizens for ML Acceleration workloads including both Text and Multimodal models. 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 delivering on ML roadmaps for demanding, fast-changing customers balancing across with internal Product roadmap. Delivered high-performant models using distributed inference libraries and frameworks. The ideal candidate should have 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 Framework integrations and development using C++ is a must along-with direct customer-facing experience and a strong motivation to achieve results.

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

About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications

• 10+ years of engineering experience

• 5+ years of engineering team management experience

• 10+ years of planning, designing, developing and delivering consumer software experience

• Experience partnering with product or program management teams

• Experience managing multiple concurrent programs, projects and development teams in an Agile environment

Preferred Qualifications

• Experience partnering with product and program management teams

• Experience designing and developing large scale, high-traffic applications

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 $198,100/year in our lowest geographic market up to $342,300/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.