Sr ML Compiler Engineer Annapurna Labs

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers bestinclass ML inference performance at the lowest cost in cloud. Trainium will deliver the bestinclass ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack the AWS Neuron Software Development Kit (SDK) which includes an ML compiler runtime and natively integrates into popular ML frameworks such as PyTorch TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap Autodesk Amazon Alexa Amazon Rekognition and more customers in various other segments.

The Team: As a whole the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering hardware design and verification software and operations.

The AWS Neuron team works to optimize the performance of complex neural net models on our custombuilt AWS hardware. More specifically the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow PyTorch and MXNET and converts them into code suitable for . As you might expect the team is comprised of some of the brightest minds in the engineering research and product communities focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance.

You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team you will be a thought leader supporting the groundup development and scaling of a compiler to handle the worlds largest ML workloads. Architecting and implementing businesscritical features publish cuttingedge research and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a handson partner to AWS ML services teams and you will be involved in presilicon design bringing new products/features to market and many other exciting projects. A background in Machine Learning and AI accelerators is preferred but not required.



About the team
Why AWS
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Utility Computing (UC)
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Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.


5 years of noninternship professional software development experience
5 years of programming with at least one software programming language experience
5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Experience as a mentor tech lead or leading an engineering team

Bachelors degree in computer science or equivalent

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.

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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.