Sr. Software Engineer – AI/ML, AWS Neuron Distributed Training – Next Full-time

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. This role for a senior software engineering responsible for driving and enabling the AWS Neuron software stack to support next generation capabilities such as newer model architectures (like Mamba and Mixture of Experts) and lower precision training techniques.

This is a cross functional role where you will be responsible for –

– Influencing Neuron roadmap to support newer model architectures and training techniques based on your technical assessment of state-of-the-art literature.

– Working side by side with chip architects, applied scientists, compiler and runtime engineers to build performant support for the next generation models and training techniques (e.g. low precision training).

This role requires experience on two dimensions –

– Experience training large models using PyTorch/JAX is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.

– Experience with profiling and building an understanding of systems bottlenecks and developing solutions (e.g. custom kernels) to improve performance is a must.

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

– 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

– Bachelor’s degree in computer science or equivalent

– Machine Learning knowledge in frameworks and end to end model training.

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 $151,300/year in our lowest geographic market up to $261,500/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.