Software Engineer- AI/ML, Amazon Neuron Training

Amazon Inc.; Cupertino (CA); On-site; USD 165,000 - 224,000; Full time

Job summary

Amazon Inc. in Cupertino is seeking a Software Engineer- AI/ML to help build and optimize AWS Neuron Training for large-scale model training on Trainium. You will work across PyTorch and Neuron to implement distributed training components and apply parallelism strategies.

You will profile workloads to locate bottlenecks and collaborate with compiler, runtime, and libraries teams to land fixes, while building internal tooling and tests that ensure reproducibility.

Qualifications

• Bachelor's degree in CS or equivalent.
• 2+ years designing or architecting scalable systems.
• 3+ years full SDLC in production.
• 3+ years programming in Python or C/C++.
• Familiarity with LLM/transformer fundamentals.

Responsibilities

• Implement and tune components of distributed training stack for large-scale training.
• Contribute to data, tensor, and pipeline parallelism and apply reduced-precision formats.
• Profile workloads to identify bottlenecks across compute, memory, and host overhead.
• Build and maintain internal tooling, benchmarks, and tests for reproducible performance work.
• Take on increasing ownership as you grow in the role.

Skills

Python

C/C++

Distributed systems

LLM/transformers

PyTorch/JAX

Education

Bachelor's degree or above in CS or equivalent

Master's degree or above in CS or equivalent

Tools

PyTorch/JAX

Distributed libraries

RL frameworks

Job description

Software Engineer- AI/ML, Amazon Neuron Training

The Annapurna Labs team at Amazon Web Services (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 software engineers to help 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

You’ll implement and tune components of our distributed training stack for large-scale training, post-training, and reinforcement learning workloads on the latest Trainium instances, working across PyTorch and the Neuron software stack. You'll contribute to parallelism strategies such as data, tensor, and pipeline parallelism and apply reduced-precision formats under the guidance of senior team members. You'll profile workloads to help determine whether a bottleneck sits in compute, memory, collectives, or host overhead, and work with compiler, runtime, and collectives engineers to help land the fix. You'll build and maintain internal tooling, benchmarks, and tests that keep the team's performance work reproducible, and take on increasing ownership as you grow in the role.

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

• Bachelor's degree or above in computer science or equivalent
• 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 3+ years of experience with full software development life cycle in production
• 3+ years of experience with at least one programming language such as Python, C/C++, or a similar language
• Familiarity with LLM/transformer fundamentals such as attention mechanisms, autoregressive decoding, KV-cache behavior, and various forms of parallelism

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
• 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
• Experience with open source projects

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually