Hardware Simulator SDE I, AWS Machine Learning Accelerators, Annapurna Labs
1 week ago
Hardware Simulator SDE I, AWS Machine Learning Accelerators, Annapurna Labs Job ID: 2940695 | Amazon.com Services LLC In-house designed SoCs (System on Chips) are the brains and brawn behind AWS’s Machine Learning Acceleration servers, TRN and INF. Our team builds functional models of these ML accelerator chips to speed up SoC verification and system software development. We’re looking for a Hardware Simulator SDE to join the team and develop new C++ models of the SoC, infrastructure, and tooling for our customers. As part of the ML acceleration modeling team, you will: Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models Innovate on the tooling you provide to customers, making it easier for them to use our SoC models Drive model and modeling infrastructure performance improvements to help our models scale Develop software which can be maintained, improved upon, documented, tested, and reused Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our partner software teams. You’ll collaborate with many internal customers who depend on your models to be effective themselves, and you'll work closely with these teams to push the boundaries of how we're using modeling to build successful products. You will thrive in this role if you: Are interested in functional modeling or have background in modeling hardware like SoCs, ASICs, TPUs, GPUs, or CPUs Are comfortable using C++ with OOP principles Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small team within a large organization Although we are building ML SoC models, no machine learning background is needed for this role. You’ll be able to ramp up on ML as part of this role, and any ML knowledge that’s required can be learned on-the-job. We're changing an industry. We're searching for individuals who are ready for this challenge, who want to reach beyond what is possible today. Come join us and build the future of machine learning Basic Qualifications Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2022 and September 2025 Experience programming with C++ using OOP Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture Preferred Qualifications Experience writing functional models of hardware, SoCs, ASICs, etc. Experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing Familiarity with modern C++ (11, 14, etc.) Experience with PyTest or GoogleTest Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
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Seattle, United States Amazon Web Services (AWS) Full timeJoin to apply for the Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs role at Amazon Web Services (AWS)1 day ago Be among the first 25 applicantsDescriptionThe Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and are used for building Generative AI on AWS. The Inferentia chip delivers top ML inference...
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Sr. Machine Learning
1 week ago
Seattle, United States Amazon Web Services (AWS) Full timeJoin to apply for the Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs role at Amazon Web Services (AWS).Get AI-powered advice on this job and more exclusive features.DescriptionThe Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and are used for building Generative AI on AWS. The Inferentia chip...
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Product Test Engineer
1 week ago
Seattle, United States Amazon Full timeProduct Test Engineer - Machine Learning Hardware, Annapurna Labs Shape the future of AI infrastructure! Join AWS and develop system-level test solutions for our innovative ML acceleration hardware, deployed across our global server fleet. Annapurna Labs (our organization within AWS) designs hardware and software that accelerates innovation. Customers choose...
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Seattle, United States Annapurna Labs (U.S.) Inc. Full timeAWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML...
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Seattle, United States Annapurna Labs (U.S.) Inc. Full timeAWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML...
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Software Development Manager
3 weeks ago
Seattle, United States Amazon Web Services (AWS) Full timeOverviewAWS Neuron Software Development Manager role at Annapurna Labs leading the Deep-Learning Compiler team. In this Manager III role, you will lead a team of compiler software engineers in the design and development of a machine learning compiler, drive execution, and mentor your engineers. This role offers the opportunity to make a significant impact on...
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Seattle, Washington, United States Amazon Web Services (AWS) Full time $151,300 - $261,500 per yearDescriptionThe 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 best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS)...
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Sr. Hardware Engineer
3 weeks ago
Seattle, United States Amazon Full timeSenior Hardware Engineer ML Acceleration Join Amazon Web Services (AWS) as a Senior Hardware Engineer in Annapurna Labs, an organization within AWS Utility Computing (UC) that designs silicon and software to accelerate innovation in cloud solutions. Annapurna Labs creates custom chips, accelerators, and software stacks to solve technical challenges never...
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Sr. ML Compiler Engineer, Annapurna Labs
3 weeks ago
Seattle, United States Annapurna Labs Full timeAnnapurna Labs builds custom Machine Learning accelerators that are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML...
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Sr. ML Compiler Engineer, Annapurna Labs
3 weeks ago
Seattle, United States Annapurna Labs Full timeAnnapurna Labs builds custom Machine Learning accelerators that are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML...
