Talent.com
ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team

ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team

AmazonCupertino, CA, United States
1 day ago
Job type
  • Full-time
Job description

ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team

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 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.

About 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.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the 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.

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.

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 conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

About the team

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a 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 AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

BASIC QUALIFICATIONS

  • B.S. in Electrical Engineering or related technical field
  • 5+ years of domain experience
  • Meets / exceeds Amazon’s leadership principles requirements for this role
  • Meets / exceeds Amazon’s functional / technical depth and complexity for this role

PREFERRED QUALIFICATIONS

  • Master's degree in electrical engineering, computer engineering, or equivalent
  • Good analytical, problem solving, and communication skills
  • 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 https : / / amazon.jobs / content / en / how-we-hire / accommodations for more information. If the country / region you’re applying in isn’t 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 $129,800 / year in our lowest geographic market up to $212,800 / 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 https : / / www.aboutamazon.com / workplace / employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

    Important FAQs for current Government employees

    Before proceeding, please review the following FAQs

    https : / / www.amazon.jobs / en / faqs#faqs-for-us-government-employees

    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

    Create a job alert for this search

    Machine Learning Engineer • Cupertino, CA, United States

    Related jobs
    • Promoted
    Machine Learning Engineer Redwood City, CA

    Machine Learning Engineer Redwood City, CA

    AttaindataRedwood City, CA, United States
    Full-time
    Built for consumers and companies, alike.In a world driven by data, we believe consumers and businesses can coexist.Our founders had a vision to empower consumers to leverage their greatest asset—t...Show moreLast updated: 30+ days ago
    • Promoted
    Machine Learning Systems Engineer, RL Engineering

    Machine Learning Systems Engineer, RL Engineering

    AnthropicSan Francisco, CA, United States
    Full-time
    Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group ...Show moreLast updated: 1 day ago
    • Promoted
    Machine Learning Engineer

    Machine Learning Engineer

    Metric BioFremont, CA, US
    Full-time
    Metric Bio is recruiting on behalf of a San Francisco–based digital health company that is building an AI-powered platform to transform patient care and healthcare delivery.ML techniques to s...Show moreLast updated: 5 days ago
    • Promoted
    Machine Learning Engineer (Operations) South San Francisco CA

    Machine Learning Engineer (Operations) South San Francisco CA

    ESRhealthcareSan Bruno, CA, United States
    Full-time
    Machine Learning Engineer (Operations).South San Francisco CA (Hybrid, 3 days / week) (Not remote).Strong understanding of machine learning concepts, algorithms, and best practices.Proven experience ...Show moreLast updated: 1 day ago
    • Promoted
    Machine Learning Systems Engineer, RL Engineering

    Machine Learning Systems Engineer, RL Engineering

    Menlo VenturesSan Francisco, CA, United States
    Full-time
    Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group ...Show moreLast updated: 30+ days ago
    • Promoted
    Founding Machine Learning Engineer

    Founding Machine Learning Engineer

    NomadicML Inc.San Francisco, CA, United States
    Full-time
    Harvard, where they both did research in the intersection of computation and evaluations.Between them, they have authored multiple published papers in the machine learning domain and hold numerous ...Show moreLast updated: 1 day ago
    • Promoted
    Machine Learning Engineer

    Machine Learning Engineer

    Latent, Inc.San Francisco, CA, United States
    Full-time
    Latent is building the intelligence infrastructure for American healthcare.Our products are already helping hospitals and clinics dramatically increase workflow output, speed up patient access to m...Show moreLast updated: 30+ days ago
    • Promoted
    Machine Learning Engineer II – San Francisco, CA

    Machine Learning Engineer II – San Francisco, CA

    ZendeskSan Francisco, CA, United States
    Full-time
    Machine Learning Engineer II (GenAI & LLM Infrastructure).Location : San Francisco (Hybrid).Zendesk’s people have one goal in mind : to make Customer Experience better. Our products help more than 125...Show moreLast updated: 1 day ago
    • Promoted
    Sr. ASIC Engineer III, Annapurna Labs

    Sr. ASIC Engineer III, Annapurna Labs

    AmazonCupertino, CA, United States
    Full-time
    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 ne...Show moreLast updated: 1 day ago
    • Promoted
    Machine Learning Engineer, OS Intelligence

    Machine Learning Engineer, OS Intelligence

    Apple Inc.Cupertino, CA, United States
    Full-time
    Cupertino, California, United States Software and Services.Are you excited about the ways Machine Learning can make all Apple products more intelligent and personalized? From extending your battery...Show moreLast updated: 1 day ago
    • Promoted
    Engineer, Machine Learning Accelerator (MLA) Modeling (AI2432)

    Engineer, Machine Learning Accelerator (MLA) Modeling (AI2432)

    SiMa.aiSan Jose, CA, United States
    Full-time
    Engineer, Machine Learning Accelerator (MLA) Modeling (AI2432) at SiMa.This position is on-site in San Jose, CA.Partner with the Architecture team to develop and maintain the performance and power ...Show moreLast updated: 1 day ago
    • Promoted
    Machine Learning Engineer (Hayward)

    Machine Learning Engineer (Hayward)

    Metric BioHayward, CA, US
    Part-time
    Metric Bio is recruiting on behalf of a San Franciscobased digital health company that is building an AI-powered platform to transform patient care and healthcare delivery.ML techniques to solve co...Show moreLast updated: 1 day ago
    • Promoted
    Machine Learning Engineer

    Machine Learning Engineer

    LatentSan Francisco, CA, United States
    Full-time
    Latent is building the intelligence infrastructure for American healthcare.Our products are already helping hospitals and clinics dramatically increase workflow output, speed up patient access to m...Show moreLast updated: 30+ days ago
    • Promoted
    • New!
    ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team

    ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team

    Amazon Web Services (AWS)Cupertino, CA, United States
    Full-time
    ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team.Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Am...Show moreLast updated: 17 hours ago
    • Promoted
    Technical Lead Manager, ASIC Design, Machine Learning

    Technical Lead Manager, ASIC Design, Machine Learning

    Google Inc.Sunnyvale, CA, United States
    Full-time
    Technical Lead Manager, ASIC Design, Machine Learning.Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders. deep expertise in domain.Bachelor's de...Show moreLast updated: 22 days ago
    • Promoted
    Machine Learning Systems Platform Engineer

    Machine Learning Systems Platform Engineer

    Blue SignalSan Francisco, CA, United States
    Full-time
    Confidential Opening : Machine Learning Systems Platform Engineer.San Francisco, CA (Hybrid Preferred).A stealth-mode innovator at the forefront of AI infrastructure is seeking a dynamic Machine Lea...Show moreLast updated: 1 day ago
    • Promoted
    Machine Learning - Compiler Engineer II, AWS Neuron, Annapurna Labs

    Machine Learning - Compiler Engineer II, AWS Neuron, Annapurna Labs

    Amazon Web Services (AWS)Cupertino, CA, United States
    Full-time
    Machine Learning - Compiler Engineer II, AWS Neuron, Annapurna Labs.Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to demo...Show moreLast updated: 30+ days ago
    • Promoted
    • New!
    Machine Learning Engineer - Intelligent Agents & Systems

    Machine Learning Engineer - Intelligent Agents & Systems

    ZipRecruiterPalo Alto, CA, United States
    Full-time
    Zyphra’s Agentic Systems and Interaction projects.You will be at the forefront of building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with fi...Show moreLast updated: 17 hours ago