Description

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine

learning accelerators. As a part of the Neuron Frameworks team you'll develop and enhance support PyTorch and JAX for AWS Neuron, working with the open source ecosystem.

You will develop and extend support for the leading ML frameworks, delivering an outstanding user experience for PyTorch and JAX ML model development on the Trainium and Inferentia accelerators. You will work closely with teams across AWS Neuron including compiler, training and inference optimization to optimize frameworks for AWS's accelerator architectures, and engage closely with the PyTorch and JAX and other ML Framework communities to take advantage of their latest capabilities and improve performance and usability for ML model developers.

A successful candidate will have a experience developing Machine Learning infrastructure and/or ML Frameworks, a demonstrated ability to work with open source communities to influence future community direction, a robust technical ability and a motivation to achieve results. Experience with technologies and tools such as XLA, vLLM or Hugging Face transformers is highly valued.

Key job responsibilities

You will work with the team to develop, improve and release JAX and Pytorch framework support for AWS Neuron.

You will understand current and future directions of ML framework development, with a focus on enabling key features of modern frameworks such as Torch.compile().

You will work closely with the PyTorch and JAX community to actively drive the future directions to improve the experience of developing and optimizing ML models on accelerators

A day in the life

As you develop and code improvements in ML Frameworks you’ll build and optimize high-impact solutions with and for users at Amazon and across the ML industry. You will and work with the JAX and PyTorch open source communities to adopt and influence new technologies, and contribute innovations.

You'll collaborate with other engineers within Neuron and cross-functionally to help drive projects with successful business outcomes using your technical expertise.

You will work in a fast-paced development environment, where you’re always working on the most important challenges and customer needs.

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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered 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

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.