Sr. Hardware Engineer - ML Acceleration, Annapurna Labs
$183k - $247.6kAmazon Locker
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology.As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Basic qualifications- Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level. - Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces. * Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues.- Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization. - Scripting skills to automate tests, logs parsing and data collection. - Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.Preferred qualification - Experience with Server HW designs, Design validation, Production tests and signal integrity of high speed interfaces. - Knowledge of the product development cycle from concept to mass production. - Strong analytical capabilities - The ability to work independently and drive tasks from start to completion - Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level - Experience with server (x86 / ARM) design or architecture 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 Company’s 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 you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annuallyUSA, TX, Austin - 159,200.00 - 215,300.00 USD annually
$183k - $247.6k
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are... ...seeking experienced Design Verification Engineers to build the next generation of our... ...Experience with verifying complex CPU, GPU, or ML accelerator designsAmazon is an equal...SeniorLocal areaWork from homeFlexible hours$183k - $247.6k
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that... ...the design and optimization of hardware in our data centers including AWS... ...our team members develop your engineering expertise so you feel empowered...SeniorLocal areaFlexible hours- ...Annapurna Labs (U.S.) Inc. is seeking a Senior Firmware Engineer to join our Power Architecture team to develop firmware for ML acceleration hardware. You will design control algorithms, implement tracing and instrumentation, and collaborate with hardware teams to maximize...Senior
$193.3k - $261.5k
...silicon. We're looking for a software engineer to build and own the models and... ...pieces of the stackNo ML background needed. You'll learn the ML accelerator domain on the job.This role can be... ...with machine learning accelerator hardware and/or softwareAmazon is an equal...SeniorInternshipLocal areaFlexible hours$193.3k - $261.5k
...drivers that expose the hardware to the OS, runtime... ...for a Systems Software Engineer who wants to work at the... ...enable SoC validation, accelerate system software development... .... As part of the ML accelerator systems modeling... ...your teammatesAnnapurna Labs, our organization...SeniorLocal areaFlexible hours$193.3k - $261.5k
...are seeking an experienced engineer to work on distributed AI/ML systems. This role... ...to scale across multiple accelerators & servers. Most of our stack... ...org you would be joining is Annapurna Labs, an integral part of AWS and develops hardware and software components that...SeniorInternshipLocal areaFlexible hours$176.6k - $239k
Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated... ...disciplines including silicon engineering, hardware design and verification, software, and... ...AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe,...SeniorLocal areaFlexible hours$193.3k - $261.5k
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron,... ...software development kit used to accelerate deep learning and GenAI... ...performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance...SeniorInternshipLocal areaWork from homeFlexible hours$193.3k - $261.5k
...AWS Machine Learning accelerators are at the forefront... ...delivers best-in-class ML inference performance... ...a whole, the Amazon Annapurna Labs team is responsible for... ...including silicon engineering, hardware design and verification... ....You: As a Sr. Machine Learning Compiler...SeniorInternshipLocal areaWork from homeRelocationFlexible hours$206.9k - $279.9k
...in machine learning acceleration software. AWS Neuron... ...delivering best-in-class ML performance in the... ...kernel optimization, and hardware acceleration.The... ...contribute to and influence engineering discussions around... ....About Amazon Annapurna Labs:Amazon Annapurna Labs...Flexible hours$183k - $247.6k
...accepted on an ongoing basisAWS Compute & ML Services owns the design, planning,... ...’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security... ...(HWEng) team creates compute, accelerator, edge and storage server designs for...SeniorLocal areaFlexible hours$208.3k - $281.8k
...supports the training AI/ML ecosystem and what... ...will partner with engineering teams building training... ...professional. About Amazon Annapurna Labs Amazon Annapurna Labs... ...silicon engineering, hardware design, software and... ...with AI/ML training accelerators and hardware,...Local areaFlexible hours$183k - $247.6k
...UC) provides product Annapurna Labs (our organization within... ...and software that accelerates innovation. Customers... ...thermal constraints for ML accelerator designs... ...solutions across the hardware-software stack-... ...members develop your engineering expertise so you feel...SeniorLocal areaFlexible hours$193.3k - $261.5k
...created innovative software and hardware solutions that make it... ...optimizes the performance of complex ML models executed on AWS... ...our custom chips designed to accelerate deep-learning workloadsThis role is for a senior software engineer in the Compiler team for AWS Neuron...SeniorLocal areaFlexible hours- ...A leading technology firm in Cupertino is seeking a Sr. Hardware Engineer to design and validate next-generation ML Chips. This role involves leading PCIe designs, collaborating with teams to enhance product performance, and applying innovative technologies. Ideal candidates...Senior
$122.6k - $185k
...high performance and scalability in AI/ML and HPC workloads.You are intrigued by... ...looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’... ...reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About...Local areaFlexible hours$255k - $340k
...home day is currently Tuesday.Hardware Engineering at Lambda is responsible for... ...OEM and white-label HPC AI/ML, general purpose compute,... ...and prototype new hardware in labs.Review BOMs to ensure configuration... ...AI/ML infrastructure and accelerated compute hardware (e.g.,...SeniorWork at officeLocal areaWork from homeFlexible hours$159k - $230k
...instrumentation.Contribute within a team of hardware/software designers, test engineers, on project planning within hardware development labs, ensuring adequate resources are met as... ...execute tests of end-to-end highly complex ML system design involving CPU, DDR memory, storages...Senior$183k - $247.6k
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that... ...datacenters all around the world. As a Sr. EMIR Engineer, you’ll contribute to the EMIR sign-off... ...PrimeTime or similar)- Some experience with lab equipment and capable of doing lab...SeniorLocal areaFlexible hours$183k - $247.6k
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that... ...all around the world. As a Sr. SoC Power Engineer, you’ll contribute to the project at the... ...power* Make power measurements in the lab and correlate back to simulations.* Work...SeniorLocal areaFlexible hours$193.3k - $261.5k
Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks... ...seeking a Senior Software Engineer to join our ML Distributed Training team.In... ...performance on Trainium hardware. You will partner with hardware...SeniorInternshipLocal areaFlexible hours$193.3k - $261.5k
Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in... ...AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS...SeniorLocal areaWork from homeFlexible hours$183k - $247.6k
...services.We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our... ...member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including...SeniorFull timeLocal areaFlexible hours$193.3k - $261.5k
...looking for a Senior Software Development Engineer to join the ENA Express team. You will... ...network, including HPC clusters, large-scale ML training, financial services, and other... ...bandwidth utilization.• Collaborate with hardware and firmware partners to define software/...SeniorInternshipLocal areaFlexible hours- ...NVIDIA is seeking an R&D Lab Operations Manager in Santa Clara to own the lifecycle of hardware used in an advanced engineering lab supporting enterprise servers, prototypes, and test equipment. This hands-on role demands practical hardware judgment, organized asset tracking...
- ...role We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll... ...-constrained models Collaborate across teams to deploy CV/ML models into production Improve ML pipelines and infrastructure...SeniorFull timeVisa sponsorship
$193.3k - $261.5k
The AWS BIOS Engineering team creates and maintains custom firmware solutions for Amazon's innovative... ...will collaborate with internal teams (hardware, validation, security) and external... ...computing- Access to advanced hardware labs and debug equipment- Opportunity to...SeniorInternshipLocal areaWorldwideFlexible hours$184.7k - $324.8k
...Senior Computer Vision / Machine Learning Engineer - 3D Vision & Perception Apple is... ...CVML engineer with both 3D geometry and ML background, optimally with experience in... ...solutions optimized for mobile and on-device hardware Collaborate across software, hardware,...SeniorRelocation$183k - $247.6k
As a Sr ASIC validation engineer on our team, you will independently lead the SW driven... ...Trainium and Inferentia AI acceleration engines , drive the testing... ...problems rooted across hardware and software domains,... ...developing SW based tests for ML accelerator SOC - 3+ years...SeniorFlexible hours$200k - $260k
...Lead compliance testing and lab characterization — BER/SER, eye... ..., packaging, and platform engineering teams — closing the loop for... .... 15+ years of experience in hardware design, development, and validation... ...hardware engineering — accelerating learning in all directions....Senior
Do you want to receive more vacancies?
Subscribe and receive similar vacancies to Sr. Hardware Engineer - ML Acceleration, Annapurna Labs. Be the first to apply!
- senior manager tax Cupertino, CA
- senior vmware engineer Cupertino, CA
- senior resident engineer Cupertino, CA
- senior performance engineer Cupertino, CA
- senior storage engineer Cupertino, CA
- senior director diversity & inclusion Cupertino, CA
- remote senior project manager Cupertino, CA
- senior implementation project manager Cupertino, CA
- senior designer remote Cupertino, CA
- senior human factors engineer Cupertino, CA



