Cupertino, CA · On-site
Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for ...
Cupertino, CA · On-site
Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for ...
Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for ...
Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for ...
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a ...
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a ...
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a ...
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a ...
CA · On-site
$75 - $89/hr
Machine Learning Engineer Pay Rate: $75-$89/hour Position Summary We are seeking a skilled Machine ... Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP) * Build and ...
CA · On-site
$75 - $89/hr
Machine Learning Engineer Pay Rate: $75-$89/hour Position Summary We are seeking a skilled Machine ... Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP) * Build and ...
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with Linux, Docker and AWS, and basic development operations. * Advanced degree in ...
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with Linux, Docker and AWS, and basic development operations. * Advanced degree in ...
San Mateo, CA · On-site
Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with Linux, Docker and AWS, and basic development operations. * Advanced degree in ...
San Mateo, CA · On-site
Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with Linux, Docker and AWS, and basic development operations. * Advanced degree in ...
Sunnyvale, CA · Remote
$70 - $80/hr
Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine ... Hands-on experience with cloud platforms such as AWS, Azure, or GCP . * Experience with Docker ...
Quick apply
Sunnyvale, CA · Remote
$70 - $80/hr
Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine ... Hands-on experience with cloud platforms such as AWS, Azure, or GCP . * Experience with Docker ...
South San Francisco, CA · Hybrid
$191K - $249K/yr
Cloud platform technologies like Azure and AWS to run workloads and deploy solutions * Large language model application development and operations * Design and train specialized machine learning ...
South San Francisco, CA · Hybrid
$191K - $249K/yr
Cloud platform technologies like Azure and AWS to run workloads and deploy solutions * Large language model application development and operations * Design and train specialized machine learning ...
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility ... CI/CD, Kubernetes, MLflow, TensorFlow, PyTorch, AWS. * Experience working in manufacturing ...
Quick apply
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility ... CI/CD, Kubernetes, MLflow, TensorFlow, PyTorch, AWS. * Experience working in manufacturing ...
Cupertino, CA · On-site
$80 - $104.75/hr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the ...
Cupertino, CA · On-site
$80 - $104.75/hr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the ...
Cupertino, CA · On-site
$80 - $104.75/hr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the ...
Cupertino, CA · On-site
$80 - $104.75/hr
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the ...
The Director of Machine Learning will lead the development of advanced machine learning models for the Virtual Cell Initiative, collaborating with multidisciplinary teams to innovate in the field of ...
The Director of Machine Learning will lead the development of advanced machine learning models for the Virtual Cell Initiative, collaborating with multidisciplinary teams to innovate in the field of ...
The Director of Machine Learning will lead a team in developing advanced machine learning models for the Virtual Cell Initiative, focusing on single-cell genomic data to revolutionize drug discovery.
The Director of Machine Learning will lead a team in developing advanced machine learning models for the Virtual Cell Initiative, focusing on single-cell genomic data to revolutionize drug discovery.
Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify ... Familiarity with data processing tools and AWS is a plus. * Excellent verbal and written ...
Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify ... Familiarity with data processing tools and AWS is a plus. * Excellent verbal and written ...
Palo Alto, CA · On-site +1
$380K - $420K/yr
The chosen candidate will spearhead the development and application of advanced machine learning models tailored for perturbative gene expression modeling, in the context of Arc's virtual cell ...
Palo Alto, CA · On-site +1
$380K - $420K/yr
The chosen candidate will spearhead the development and application of advanced machine learning models tailored for perturbative gene expression modeling, in the context of Arc's virtual cell ...
Cupertino, CA · On-site +1
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let ...
Cupertino, CA · On-site +1
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let ...
Palo Alto, CA · On-site +1
$380K - $420K/yr
The chosen candidate will spearhead the development and application of advanced machine learning models tailored for perturbative gene expression modeling, in the context of Arc's virtual cell ...
Palo Alto, CA · On-site +1
$380K - $420K/yr
The chosen candidate will spearhead the development and application of advanced machine learning models tailored for perturbative gene expression modeling, in the context of Arc's virtual cell ...
Cupertino, CA · On-site +1
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let ...
Cupertino, CA · On-site +1
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let ...
Irvine, CA · On-site
- * HIRING - FOR AWS DATA LAKE ARCHITECT * Oversee end-to-end Architecture, including design and maintenance of a scaled Data Lake in AWS for use in Machine Learning and related data analytics. Required ...
Irvine, CA · On-site
- * HIRING - FOR AWS DATA LAKE ARCHITECT * Oversee end-to-end Architecture, including design and maintenance of a scaled Data Lake in AWS for use in Machine Learning and related data analytics. Required ...
Cupertino, CA • On-site
Full-time
Posted 12 days ago
7.4
Based on 6,846 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity.
Join us in shaping the future of AI acceleration
At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips.
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers
From the ground up, you'll help build the foundation that makes this vision possible.
the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs!
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips
This is a fast-paced, challenging position, where 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 our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry
No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding.
Key job responsibilities
- Software / hardware architecture and co-design
- Bare metal C/C++ software development, testing, debug, and performance improvements
- Test suite and infrastructure development
- Developing software which can be maintained, improved upon, documented, tested, and reused
- Close collaboration with RTL designers, design verification engineers, other software teams and customers
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
It services, book publishers, retail, real estate and computer and electronic product manufacturing
10,000+ Employees
Seattle, WA, US
