Machine Learning Compiler Engineer, Annapurna Labs; AWS

The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, Tensor Flow, and JAX.

Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.

In this role as an ML Compiler engineer, you'll be instrumental in designing, developing, and optimizing features for our compiler. You will tackle crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software.

Additionally, you'll collaborate closely with cross-functional team members from the Runtime, Frameworks, and Hardware teams to ensure system-wide performance optimization.

As part of the Backend team, you'll play a significant role in designing and developing various aspects of our system, including instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programming, code generation, instruction set architectures, new hardware bring‑up, and hardware‑software co‑design.

• 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.

• 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

• 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 programming, 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 in Tensor Flow, PyTorch, and/or JAX
• Experience in LLM, Vision or other deep‑learning models

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300 per year in our lowest geographic market up to $223,600 per year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit  This position will remain posted until filled. Applicants should apply via our internal or external career site.

Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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, including habitually exercising sound judgment, effectively managing stress, and working safely and respectfully with others to uphold 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.

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