Sr ML Compiler Engineer - Automated Reasoning Science Annapurna Labs
Sr ML Compiler Engineer - Automated Reasoning Science Annapurna Labs
Posted on :
27-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 151300 - 261500
Vacancy
1 Vacancy
Posted on :
27-04-2025
Job Description
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a stateoftheart 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 TensorFlow and JAX. Your role will involve working closely with our custombuilt Machine Learning accelerators including Inferentia/Trainium which represent the forefront of AWS innovation for advanced ML capabilities powering solutions like Generative AI.
Key job responsibilities
As a Sr. ML Compiler Engineer III on the Neuron Compiler Automated Reasoning Group you will develop and maintain tooling for bestinclass technology for raising the bar of the Neuron Compilers accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVMbased compiler. You will work in a team with a science focus and strive to push what we do to the edge of what is known to best deliver our customers.
Strong software development skills using C/Python are critical to this role.
A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred but not required.
In order to be considered for this role candidates must be currently located or willing to relocate to Seattle (Preferred) Cupertino Austin or Toronto.
6 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
5 years of experience in developing compiler features and optimizations
Proficiency in C and Python programming applied to compiler or verification projects
Familiarity with LLVM including knowledge of abstract interpretation and polyhedral domains
Demonstrated scientific approach to software engineering problems
Masters degree or PhD in computer science or equivalent
Experience with deep learning frameworks like TensorFlow or PyTorch
Understanding of large language model (LLM) training processes
Knowledge of CUDA programming for GPU acceleration
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 Companys 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Key job responsibilities
As a Sr. ML Compiler Engineer III on the Neuron Compiler Automated Reasoning Group you will develop and maintain tooling for bestinclass technology for raising the bar of the Neuron Compilers accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVMbased compiler. You will work in a team with a science focus and strive to push what we do to the edge of what is known to best deliver our customers.
Strong software development skills using C/Python are critical to this role.
A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred but not required.
In order to be considered for this role candidates must be currently located or willing to relocate to Seattle (Preferred) Cupertino Austin or Toronto.
6 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
5 years of experience in developing compiler features and optimizations
Proficiency in C and Python programming applied to compiler or verification projects
Familiarity with LLVM including knowledge of abstract interpretation and polyhedral domains
Demonstrated scientific approach to software engineering problems
Masters degree or PhD in computer science or equivalent
Experience with deep learning frameworks like TensorFlow or PyTorch
Understanding of large language model (LLM) training processes
Knowledge of CUDA programming for GPU acceleration
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 Companys 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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