Sr. Software Engineer- AI/ML, Amazon Neuron Training

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule as appropriate. Must not repeat job title. Must not include Job ID. Must preserve all substantive info. Remove boilerplate like EEO, legal, etc. Must include sections only if posting has real specific content. We need to parse the description. Key sections: - About the role: description of team, mission, etc. The description includes: "The Annapurna Labs team at AWS builds AWS Neuron... The Distributed Training team enables the training of a wide range of models... As part of broader Neuron organization... We are looking for passionate technical leaders..." That's about the role. - Key job responsibilities: list bullet points. - About The Team: includes Inclusive Team Culture, Work/Life Balance. Could be part of About the role? But we can have separate sections: maybe "About the Team" but not in list of allowed headings. Allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content accordingly. We have "Basic Qualifications" and "Preferred Qualifications". Those map to Requirements and Qualifications? Usually Requirements = basic qualifications, Qualifications = preferred? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have Requirements (basic qualifications) and Qualifications (preferred). Skills maybe from preferred qualifications like experience with ML frameworks etc. Could combine. We also have Benefits and Pay: The posting includes salary range and benefits description. So we need Pay and Benefits sections. Schedule: Not mentioned. So we should not include Schedule heading. We must not include placeholder text like "commensurate with experience". The posting includes salary range: "USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually". That's specific, so we can include Pay section with that. Benefits: includes health insurance, 401(k) matching, paid time off, parental leave, etc. So we include Benefits. Now we need to output HTML fragment only, no /. Use

for headings. Use

• for lists. Use

  for prose. We must preserve all substantive information; do not invent or summarize away detail. So we need to include all details from the posting, but we can condense into prose or list as appropriate, but must not lose detail. However we must not repeat job title. Must not include Job ID. Must remove boilerplate like EEO, legal, etc. Also remove duplicated lines. Let's extract substantive content: From description: - The Annapurna Labs team at AWS builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium, Amazon's custom machine learning accelerator. Neuron includes an ML compiler, runtime, collectives library, and application framework that integrate with PyTorch and JAX, so customers can train frontier-scale models on Trainium without rewriting their stack. - The Distributed Training team enables the training of a wide range of models, from large-scale pretraining through post-training and reinforcement learning, on AWS's custom ML accelerators. - As more customer workloads shift toward RLHF, PPO/GRPO, and other fine-tuning methods, we are building the distributed training infrastructure, parallelism techniques, numerics, and high-performance kernels that these methods depend on. - As part of the broader Neuron organization, we work across frameworks, kernels, compiler, runtime, and collectives — a true hardware and software co-design in practice. - We not only optimize current performance but also contribute to future architecture designs, since the gaps we characterize today become requirements for the next generation of Trainium. - We are looking for passionate technical leaders who can help us build and fine tune these distributed training solutions. - This role offers a rare opportunity to work at the intersection of machine learning, high-performance computing, and distributed systems, where you will help shape the direction of AI acceleration technology. Key job responsibilities (list): - You will lead the effort to build distributed training and post-training support into PyTorch and JAX for Trainium accelerators. - You will work across PyTorch and Neuron software stack with the Neuron compiler and runtime teams to enable and fine tune large-scale training, post training, and reinforcement learning workloads on the latest Trainium instances. - You will own the parallelism strategies these models depend on, spanning data, tensor, pipeline, expert, and context parallelism, and apply reduced-precision formats where they measurably pay off. - You will profile end to end to determine whether a workload is bound by compute, memory, collectives, or host overhead, then drive the fix to the layer that owns it, working with compiler, runtime, and collectives engineers to land it. - You will translate the performance gaps you characterize into requirements that influence frameworks, and contribute upstream to the open source frameworks our customers train on. About The Team: - Inclusive Team Culture: Here at Amazon, 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. 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 - Experience as a mentor, tech lead or leading an engineering team - Bachelor's degree or above in computer science or equivalent - * Familiarity with LLM/transformer fundamentals such as attention mechanisms, autoregressive decoding, V-cache behavior, forms of parallelism - * Experience in machine learning, data mining, information retrieval, statistics or natural language processing Preferred Qualifications: - Master's degree or above in computer science or equivalent - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in computer architecture - Hands-on SFT and/or RLHF/PPO/DPO experience - Experience with ML frameworks such as Pytorch/Jax, Distributed libraries and Frameworks, RL frameworks or End-to-end Model Training - Experience with performance engineering: workload profiling, characterization (compute bound, memory bound, network bound), and optimization - Contribution to open source projects Benefits/Pay: - The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. - USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually We need to include Pay section with salary range. Benefits section with benefits description. We must not include the link? The instruction: preserve ALL substantive information; do not invent or summarize away detail. The link is part of benefits description; we could keep it as part of prose. It's okay. We must not include boilerplate like equal opportunity employer, Los Angeles County applicants, etc. Also remove "Amazon is an equal opportunity employer..." and the Los Angeles County stuff, also the accommodation link, etc. Also remove "If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner." etc. Also remove "Our inclusive culture empowers Amazonians..." etc. Now produce HTML. Structure:

  About the role

  ... (combined description)

  Responsibilities

  • ...
  ...

  Requirements

  • 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
  • Experience as a mentor, tech lead or leading an engineering team
  • Bachelor's degree or above in computer science or equivalent
  • Familiarity with LLM/transformer fundamentals such as attention mechanisms, autoregressive decoding, V-cache behavior, forms of parallelism
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing

  Qualifications

  • Master's degree or above in computer science or equivalent
  • Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in computer architecture
  • Hands-on SFT and/or RLHF/PPO/DPO experience
  • Experience with ML frameworks such as PyTorch/Jax, Distributed libraries and Frameworks, RL frameworks or End-to-end Model Training
  • Experience with performance engineering: workload profiling, characterization (compute bound, memory bound, network bound), and optimization
  • Contribution to open source projects
  We could also have Skills section but we already covered skills in qualifications. Could optionally add Skills but not needed.

  Benefits

  Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Learn more about our benefits at https://amazon.jobs/en/benefits.

  Pay

  USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

  We should not include Schedule. Check for any duplicated lines: we have not repeated. Check that we preserved all substantive info: Did we miss anything about "Inclusive Team Culture" and "Work/Life Balance"? Those are part of About The Team. We omitted them. Should we include them somewhere? The instruction: Preserve ALL substantive information. So we need to include that info. Where to put? Could be part of About the role or maybe a separate section like "About the Team" but not allowed heading. Could incorporate into About the role paragraph. Let's add a paragraph after the initial description about team culture and work-life balance. Thus About the role paragraph will include: - The Annapurna Labs team at AWS builds AWS Neuron... (mission