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Added 1 day ago
Senior Inference Optimization ML Engineer
Rhoda AI
Mountain View,, CA
…expensive accelerators. We're looking for an Inference Optimization engineer to make Rhoda's models run fast, correctly, and cheaply on a wide range of hardware: AMD Instinct GPUs, Google…
Added 3 days ago
BG
HPC Software Engineer
Bolt Graphics
Sunnyvale, CA
- $165,000 to $300,000 USD / year
We are seeking a talented and experienced HPC Software Engineer to develop and optimize high-performance computing solutions for complex, computationally intensive applications.
Added 4 days ago
Principal Engineer - AI Systems & Performance Lab
SanDisk
Milpitas, CA
We are seeking an experienced and visionary Principal Engineer to join our organization in Milpitas, United States. This role is director‑equivalent in scope and impact, with a strong…
Added 4 days ago
Principal Distributed Systems Software Engineer, Collectives
Advanced Micro Devices, Inc
San Jose, CA
…networking software, and training/inference performance across multi-GPU and multi-node systems. You will engage with internal hardware, GPU library, compiler, runtime and ROCm teams as…
Added 4 days ago
Senior GPU Performance Engineer - AI Workloads
Advanced Micro Devices, Inc
Santa Clara, CA
We are seeking a GPU Performance Engineer to optimize AI workloads and guide the evolution of next-generation AMD Instinct GPU architectures. In this role, you will work across the software…
Added 6 days ago
IC
Senior Infrastructure and DevOps Systems Engineer
Intel Corporation
OR · MA · CA · AZ
- $100,550 to $194,270 USD / year
Our customer-facing engineering team is seeking a senior, hands-on Infrastructure and DevOps Systems Engineer to design, deploy, automate, integrate, secure, and troubleshoot large-scale…
Added 10 days ago
Machine Learning Engineer, AI Inference Solutions (Early in Career)
General Motors
Sunnyvale, CA
As an early career Engineer on the Model Deployment & Inference Solutions team, you’ll contribute across both sides of our mission: building the ML deployment platform and optimizing models…
Added 12 days ago
Senior Compiler Engineer – GPU Compute
NVIDIA USA
CA · TX · WA
…make a lasting impact on the world. We are searching for a Senior Compiler Engineer in our GPU Software organization. We deliver features and improvements that help NVIDIA hardware reach…
Added 12 days ago
Server ML Frameworks Engineer
Apple
Cupertino, CA
…inference of GenAI applications (such as LLMs) on Private Cloud Compute. You will get to work on custom-built server hardware that brings the power and security of Apple silicon to the data…
Added 13 days ago
Senior Systems Software Engineer, CUDA and AI HW Profiler
NVIDIA USA
Remote, United States
NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and develop groundbreaking performance…
Added 13 days ago
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras Systems
Sunnyvale, CA
We are looking for an experienced, hands-on Senior Software Development Engineer in Test (SDET) to join the Release Integration Testing (RIT) function within Release & Feature Qualification…
Added 15 days ago
Software Engineer, AI Kernels & Performance Optimization - MTIA Software
Meta
Menlo Park, CA
…generations land (see ).The MTIA Software team is part of the AI & Compute Foundation (ACF) organization within Meta Infrastructure. Because the hardware is ours, the software is ours too:…
Added 15 days ago
Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML…
Added 15 days ago
Software Development Manager - Compiler
Amazon
Cupertino, CA
…ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK),…
Added 15 days ago
Senior AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS
Amazon
Cupertino, CA
…silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to…
Added 15 days ago
Software Development Manager - NKI Compiler, AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
…development team. As an SDM III, you will lead a team of experienced compiler engineers developing compiler optimization algorithms and deploying, at scale, a new compiler targeting AWS…
Added 15 days ago
Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML…
Added 15 days ago
Senior Software Engineer, CUDA Deep Learning Systems
Nvidia
Santa Clara, CA
Collaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and algorithms that improve accelerator compute…
Added 15 days ago
Sr. Software Engineer- AI/ML, AWS Neuron
Amazon
Seattle, WA
As a Senior Software Engineer on our Machine Learning Applications team, you will optimize the world's most demanding AI models at a scale few engineers ever get to work on. This role…
Added 15 days ago
Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
Amazon
Seattle, WA
This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML…
Added 15 days ago
Principal Engineer: Annapurna Labs Training and Inference , Annapurna Labs, AWS Neuron SDK
Amazon
Seattle, WA
At Amazon, Principal Engineers are both technical leaders and hands-on builders. As Amazon's most senior individual contributors, Principal Engineers work on our hardest problems, help…
Added 15 days ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
Experience on high performance computing (e.g., cache/memory optimization, high-performance GPU programming, compiler-based optimization, fine-grained parallel library and runtime) or…
Added 15 days ago
Software Engineer, AI Kernels & Performance Optimization - MTIA Software
Meta
New York, NY
…generations land (see ).The MTIA Software team is part of the AI & Compute Foundation (ACF) organization within Meta Infrastructure. Because the hardware is ours, the software is ours too:…
Added 16 days ago
IC
Senior AI Software Development Engineer
Intel Corporation
CA · OR
- $149,750 to $275,580 USD / year
Intel is seeking a Senior AI Systems Software Engineer to drive optimization strategy and technical leadership across the AI software stack. In this role, you will lead the development of…
Added 16 days ago
Z
Senior/Staff Software Engineer, ML Training Optimization
Zoox
Foster City, CA · Seattle, WA
- $254,000 to $350,000 USD / year
Drive profiling and root-cause analysis of throughput bottlenecks across the compute, compiler, framework, and cluster-networking stack.

Amazon

Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs

Seattle, WA, United States

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Job details

Posting language: English
Posted: Oct 10, 2026

Original job description

Description

Do you want to be part of AI revolution? At Amazon our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.

This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use.

Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required.

Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus!

Explore the product and our history! https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index

htmlhttps://aws.amazon.com/machine-learning/neuron/

https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Key job responsibilities

You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler’s performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to work with open-source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers – developers across the globe.

A day in the life

As you design and code solutions to help our team drive efficiencies in compiler architecture, you’ll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You’ll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities). Lastly, work in a startup-like development environment, where you’re always working on the most important stuff.

About the team

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.

Diverse Experiences

Amazon 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.

Inclusive Team Culture

Here at Amazon, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

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.

Basic Qualifications

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

Preferred Qualifications

Master's degree or PhD in Computer Science, or a related technical field.
3+ years of experience writing production grade code in object-oriented languages such as C++/Java.
Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators.
Experience with OpenSource compiler toolset like LLVM/MLIR.
Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms.
Experience with modern build systems like Bazel/CMake.

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

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.

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.

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 - 165,200.00 - 223,600.00 USD annually

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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More about this job

Skills

Machine learning
AWS
ML
PyTorch
TensorFlow
C++
Oracle Java
Internet of Things
Coaching
Assign homework
Software development
Computer science
Deep learning
CMake
Customer service
Recruitment
Mental health

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