Talent.com
SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning AccelerationAmazon • San Francisco, CA, United States
SDE, MLA hardware / software co-design, Annapurna Labs Machine Learning Acceleration

SDE, MLA hardware / software co-design, Annapurna Labs Machine Learning Acceleration

Amazon • San Francisco, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

SDE, MLA hardware / software co-design, Annapurna Labs Machine Learning Acceleration

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.

Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!

As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware / software co-development for our machine learning chips.

You will work with architecture, design and emulation teams to build new silicon functionality.

You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC.

If you have a solid background in embedded software, system development or chip design, come join us!

About the team

Why 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

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's 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.

    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.

    Important FAQs for current Government employees

    Before proceeding, please review the following FAQs

    https : / / 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

    [job_alerts.create_a_job]

    Labs • San Francisco, CA, United States

    [internal_linking.related_jobs]
    Sr Machine Learning Platform Engineer

    Sr Machine Learning Platform Engineer

    LendingClub • San Francisco, CA, US
    [job_card.full_time]
    Bachelor's degree or higher in a related field; or equivalent work experience • Strong foundation in ML engineering, with experience building and scaling pipelines and platforms in production • Profi...[show_more]
    [last_updated.last_updated_variable_hours] • [promoted] • [new]
    Senior Machine Learning Engineer

    Senior Machine Learning Engineer

    scribehow.com • San Francisco, CA, United States
    [job_card.full_time]
    We're looking for a highly motivated and skilled Senior Machine Learning Engineer to build the future of AI productivity software. You will work on cutting-edge research, deploy state-of-the-art pro...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior AI / ML Tooling Engineer

    Senior AI / ML Tooling Engineer

    General Motors • San Francisco, CA, United States
    [job_card.full_time]
    Role : We are looking for an ML tooling engineer to build tools to analyze and optimize distillation, training, and inference of ML models. You will develop and enhance GM's internal ML tooling for h...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Sr. Machine Learning Engineer (Recommendation Systems)

    Sr. Machine Learning Engineer (Recommendation Systems)

    Philo • San Francisco, CA, United States
    [job_card.full_time]
    At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented.We lever...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior Software Engineer, Machine Learning

    Senior Software Engineer, Machine Learning

    Planet Labs PBC • San Francisco, CA, United States
    [job_card.full_time]
    We believe in using space to help life on Earth.Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset ...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Manager - Machine Learning Engineering

    Manager - Machine Learning Engineering

    Opendoor • San Francisco, CA, US
    [job_card.full_time]
    San Francisco, California, United States; Seattle, Washington, United States.Senior Manager, Machine Learning Engineering Location : San Francisco, CA or Seattle, WA (Hybrid – 4 days onsite per week...[show_more]
    [last_updated.last_updated_variable_hours] • [promoted] • [new]
    Machine Learning Engineer, Foundation Model

    Machine Learning Engineer, Foundation Model

    Stripe • San Francisco, CA, United States
    [job_card.full_time]
    Stripe’s mission is to accelerate global economic and technological development.We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startup...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Staff Machine Learning Engineer, Core Engineering

    Staff Machine Learning Engineer, Core Engineering

    Pinterest • San Francisco, CA, United States
    [job_card.full_time]
    Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to br...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Sr ML / Deep Learning Architect (San Francisco)

    Sr ML / Deep Learning Architect (San Francisco)

    CitiusTech • San Francisco, CA, US
    [job_card.part_time]
    Machine Learning / Deep Learning Architect (Dicpm / Medical Imaging).With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transform...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Staff Machine Learning Engineer (Modeling), Support San Francisco, CA, US

    Staff Machine Learning Engineer (Modeling), Support San Francisco, CA, US

    Block, Inc. • San Francisco, CA, United States
    [job_card.full_time]
    Block is one company built from many blocks, all united by the same purpose of economic empowerment.The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Sec...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Principal ML Architect (Machine Learning) with Imaging (San Francisco)

    Principal ML Architect (Machine Learning) with Imaging (San Francisco)

    VBeyond Corporation • San Francisco, CA, United States
    [job_card.full_time]
    Job Title : - Principal ML Architect (Machine Learning).Location : - San Francisco, CA (Onsite 3 days / Week).Type of Employment : - Fullltime. As a Machine Learning / Deep Learning Architect you will...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Sr. Machine Learning Engineer

    Sr. Machine Learning Engineer

    Databricks Inc. • San Francisco, CA, United States
    [job_card.full_time]
    The Applied AI team at Databricks sits at the forefront of advancing GenAI‑powered products.Over the past years, we’ve launched Databricks Assistant, AI / BI Genie, and Agent Bricks working with prod...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior Software Engineer - Machine Learning

    Senior Software Engineer - Machine Learning

    Cerebras • San Francisco, CA, United States
    [job_card.full_time]
    We are seeking a Senior Machine Learning Engineer to join our team.This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash advan...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Sr. Machine Learning Engineer (LLM)

    Sr. Machine Learning Engineer (LLM)

    Greylock Partners • San Francisco, CA, United States
    [job_card.full_time]
    Series A investment looking for a Sr.MLE with AI / ML expertise to build cutting-edge AI agent systems for financial compliance. You'll work at the intersection of software engineering and applied AI,...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Machine Learning Engineer – Robotics

    Machine Learning Engineer – Robotics

    Bedrock Robotics • San Francisco, CA, United States
    [job_card.full_time]
    We’re looking for a highly motivated engineer with experience deploying machine learning algorithms to physical systems in the real world. The ideal candidate has hands-on experience in perception (...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior ML Engineer – Personalization & Recommendations

    Senior ML Engineer – Personalization & Recommendations

    Quizlet • San Francisco, CA, United States
    [job_card.full_time]
    An innovative learning platform is seeking a Senior Machine Learning Engineer to design, implement, and optimize systems that personalize learning experiences. Located in San Francisco, this role re...[show_more]
    [last_updated.last_updated_1_day] • [promoted]
    ML Engineer : Predictive Maintenance & Asset Intelligence

    ML Engineer : Predictive Maintenance & Asset Intelligence

    MaintainX • San Francisco, CA, United States
    [job_card.full_time]
    A leading mobile-first Asset and Work Intelligence platform is seeking a Senior Applied Machine Learning Engineer to guide the architecture of predictive maintenance and asset intelligence initiati...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior Machine Learning Engineer (Modeling), Support

    Senior Machine Learning Engineer (Modeling), Support

    Block • San Francisco, CA, United States
    [job_card.full_time]
    Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystem—including Cash App, Square, and other business units.We are dedicated ...[show_more]
    [last_updated.last_updated_30] • [promoted]