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In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads.Key job responsibilities
* Provide technical leadership to the Neuron Core Tools team
* Work closely with the frameworks and compiler teams.
* Collect requirements from various other teams including training, inference and runtime.
* Collaborate with the compiler performance team to ensure timely release of the core performance tools.
* Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute.
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.
Work/Life Balance
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.
About AWS Utility Computing (UC):
About AWS
About AWS Neuron:
- 10+ years of engineering experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience as a tech lead of a large group of engineers
- Experience designing and developing large scale, high-traffic applications
- Experience with ML hardware/Software
- Experience with ML compilers and custom kernels for AI.
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