Amazon
Software Development Engineer, Annapurna Labs, AWS Neuron Frameworks, AWS Neuron
Amazon, Cupertino, California, United States, 95014
AWS Neuron Frameworks Developer
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 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. 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. 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. 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'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. Key Job Responsibilities
You will work with the team to develop, improve and release JAX and PyTorch framework support for AWS Neuron. This role will help lead the integration of AWS Neuron's capabilities into JAX, PJRT, PyTorch and PyTorch/XLA to ensure a seamless user experience with each new JAX and PyTorch release. This includes ensuring that popular ecosystem libraries and user-facing tools work out of the box and delight our customers. Strong software development skills, experience with C++ and Python and ML knowledge are all critical to this role. 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.
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 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. 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. 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. 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'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. Key Job Responsibilities
You will work with the team to develop, improve and release JAX and PyTorch framework support for AWS Neuron. This role will help lead the integration of AWS Neuron's capabilities into JAX, PJRT, PyTorch and PyTorch/XLA to ensure a seamless user experience with each new JAX and PyTorch release. This includes ensuring that popular ecosystem libraries and user-facing tools work out of the box and delight our customers. Strong software development skills, experience with C++ and Python and ML knowledge are all critical to this role. 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.