Machine Learning Compiler Engineer, Annapurna Labs jobs in United States
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Amazon Web Services (AWS) · 20 hours ago

Machine Learning Compiler Engineer, Annapurna Labs

Amazon Web Services (AWS) is seeking skilled compiler engineers to join their AWS Neuron Compiler team. The role involves designing, developing, and optimizing features for a deep learning compiler stack, collaborating with cross-functional teams to enhance system performance and tackle technical challenges.

Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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H1B Sponsor Likelynote

Responsibilities

Solve challenging technical problems, often ones not solved before, at every layer of the stack
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security
Research implementations that deliver the best possible experiences for customers
Build high-impact solutions to deliver to our large customer base
Participate in design discussions, code review, and communicate with internal and external stakeholders
Work cross-functionally to help drive business decisions with your technical input
Work in a startup-like development environment, where you’re always working on the most important stuff

Qualification

C++Compiler optimizationGraph partitioningPythonLLVMTensorFlowPyTorchParallel programmingMemory allocationData transfer optimizationCode generationInstruction Set ArchitecturesHardware-software co-design

Required

B.S. or M.S. in computer science or related field
Proficiency with 1 or more of the following programming languages: C++ (preferred), Python
3+ years of non-internship professional software development experience
2+ years of experience developing compiler optimization, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management

Preferred

M.S. or Ph.D. in computer science or related field
Strong knowledge in one or more of the areas of: compiler design, instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design
Experience with LLVM and/or MLIR
Experience with developing algorithms for simulation tools
Experience is TensorFlow, PyTorch, and/or JAX
Experience in LLM, Vision or other deep-learning models

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon Web Services (AWS)

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Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.

H1B Sponsorship

Amazon Web Services (AWS) 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)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Late Stage
Total Funding
unknown
Key Investors
BIRD Foundation
2025-01-22Grant

Leadership Team

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Matt Garman
Chief Executive Officer
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Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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Company data provided by crunchbase