[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Cupertino, CA # Senior Applied Scientist, AWS Neuron Science - Core Algorithm US, CA, Cupertino Senior individual contributor Research & Science Listed on Amazon’s official careers site. Posted October 6, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10570541/senior-applied-scientist-aws-neuron-science-core-algorithm) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Senior Applied Scientist, AWS Neuron Science - Core Algorithm ## Job description ### Description The AWS Neuron Science Core Algorithm team is looking for talented Applied Scientists to push the frontier of hardware-aware machine learning for Trainium and Inferentia, the AWS Machine Learning accelerators. In this rare role at the intersection of LLM modeling, large-scale training systems, and hardware/datatype co-design, you own model and algorithm decisions jointly with AWS custom silicon. You will own solutions end-to-end from research through production, publish at top venues, and work alongside distinguished engineers and scientists in a strategic growth area for AWS. ### We actively work on these areas - Low-precision training and inference: MXFP8, MXFP4, and sub-4-bit training and inference recipes, stochastic rounding, and Trn4 datatype exploration. - Trn-friendly architectures: model architectures that exploit hardware strengths without sacrificing quality. - System-aware optimizers & efficient distributed systems: efficient optimizers and distributed systems that give the best accuracy, co-designed with the hardware. - Foundation-model pre-training accuracy: end-to-end validation across model scales, catching training divergence early, and equivalence-checking tooling. - GenAI for systems: RL post-training for NKI kernel generation, mitigating reward-hacking and accelerating under low precision on Trn. ### Key job responsibilities - Own scientific problems end-to-end - from research and experimentation through production impact - applying rigorous evaluation to complex, ill-defined problems at large scale. - Develop production-quality code in PyTorch or JAX and integrate scientific components into large-scale training and inference systems with operational excellence and efficient resource usage. - Partner with foundation-model, engineering, and hardware-architecture teams so your findings directly inform what gets built into Trainium and shipped in the product stack. - Mentor fellow scientists and interns, give constructive peer reviews, and help shape team goals, priorities, and the technical roadmap. - Author and publish research at top peer-reviewed venues (ICLR, NeurIPS, ICML, MLSys) and engage the broader scientific community. ## At a glance - Posted by the employer: Oct 6, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 12 days - Location: US, CA, Cupertino[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10570541/senior-applied-scientist-aws-neuron-science-core-algorithm) ## More jobs at Amazon ### [Applied Scientist II, AWS Neuron Science - Core Algorithm](https://jobs.opennash.com/companies/amazon/jobs/b4b8c72e144228f8ff9c/) US, CA, Cupertino ### [ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration](https://jobs.opennash.com/companies/amazon/jobs/2f4abd4b31f6ccf57c50/) US, CA, Cupertino ### [ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs](https://jobs.opennash.com/companies/amazon/jobs/a4186577c75346a3542e/) US, CA, Cupertino ### [ASIC Engineer I, Annapurna Labs, Early Career - 2027](https://jobs.opennash.com/companies/amazon/jobs/b4e836db812eaa0f5c35/) US, CA, Cupertino ### [ASIC Engineer Intern, Annapurna Labs - 2027](https://jobs.opennash.com/companies/amazon/jobs/2c76c408eaf21101d91c/) US, CA, Cupertino ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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