Amazon · 2 months ago
Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
Cupertino, California, USA
Full-time
Onsite
Mid Level
$129K/yr - $224K/yr
3+ years expAmazon, through its AWS Neuron team, is seeking a Machine Learning - Compiler Engineer to contribute to the AI revolution by optimizing the performance of ML models on custom chips. The role involves designing and implementing innovative software solutions for the Neuron compiler, collaborating with various teams to enhance ML model deployment on AWS accelerators.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
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
Qualification
Required
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
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
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-11
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