... within Amazon Web Services (AWS) but across the entire industry. We design and build every ... Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers ...
... within Amazon Web Services (AWS) but across the entire industry. We design and build every ... Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ... Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ... Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ... Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ... Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the ...
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
$55.25 - $73.75/hr
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are ... Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ...
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
$55.25 - $73.75/hr
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are ... Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are ... Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are ... Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ...
... machine learning models to create smarter capabilities in Amazon Fulfillment Centers. All the work you will do will ensure that Amazon customers receive their packages on time while all fulfillment ...
... machine learning models to create smarter capabilities in Amazon Fulfillment Centers. All the work you will do will ensure that Amazon customers receive their packages on time while all fulfillment ...
Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Austin, TX · On-site
$121K - $160K/yr
Custom machine learning chips are at the heart of our Trainium machine learning instances, and we ... About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly ...
Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Austin, TX · On-site
$121K - $160K/yr
Custom machine learning chips are at the heart of our Trainium machine learning instances, and we ... About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly ...
Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Austin, TX · On-site
$103K - $142K/yr
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Austin, TX · On-site
$103K - $142K/yr
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Austin, TX · On-site
$121K - $160K/yr
Custom machine learning chips are at the heart of our Trainium machine learning instances, and we ... About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly ...
Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Austin, TX · On-site
$121K - $160K/yr
Custom machine learning chips are at the heart of our Trainium machine learning instances, and we ... About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly ...
Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... machine learning products and support those designs in AWS fleet through their entire life cycle.
Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... machine learning products and support those designs in AWS fleet through their entire life cycle.
Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... machine learning products and support those designs in AWS fleet through their entire life cycle.
Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... machine learning products and support those designs in AWS fleet through their entire life cycle.
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... machine learning products and support those designs in AWS fleet through their entire life cycle.
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon ... machine learning products and support those designs in AWS fleet through their entire life cycle.
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
$55.25 - $73.75/hr
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are ... Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ...
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
$55.25 - $73.75/hr
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are ... Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the ...
Sr. Product Manager - Tech, Amazon Customer Service
Austin, TX · On-site
$125K - $165K/yr
... Machine Learning, UX Design, CS Business Verticals (Consumer, Digital, Shipping and Delivery Services), and other Amazon teams to define the intersection points where we choose to hand off to a human ...
Sr. Product Manager - Tech, Amazon Customer Service
Austin, TX · On-site
$125K - $165K/yr
... Machine Learning, UX Design, CS Business Verticals (Consumer, Digital, Shipping and Delivery Services), and other Amazon teams to define the intersection points where we choose to hand off to a human ...
Machine Learning Operations Engineer
Dallas, TX · On-site
$113K - $136K/yr
Amazon Web Services Cloud * Apache Hadoop YARN * Apache Kafka * AWS SageMaker * Big Data,Analytics&Operations * Hadoop Hive * Machine Learning * Pandas * Python What you can expect from us: Together ...
Machine Learning Operations Engineer
Dallas, TX · On-site
$113K - $136K/yr
Amazon Web Services Cloud * Apache Hadoop YARN * Apache Kafka * AWS SageMaker * Big Data,Analytics&Operations * Hadoop Hive * Machine Learning * Pandas * Python What you can expect from us: Together ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is ...
Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
Key job responsibilities As a member of the Machine Learning Acceleration team, you'll manage the ... About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
Key job responsibilities As a member of the Machine Learning Acceleration team, you'll manage the ... About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry The Machine Learning Acceleration Fleet Operations Team is ...
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, TX · On-site
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry The Machine Learning Acceleration Fleet Operations Team is ...
Amazon Machine Learning information
See Texas salary details
$23.8K - $29.1K
5% of jobs
$30.8K is the 25th percentile. Wages below this are outliers.
$29.1K - $34.3K
59% of jobs
$34.3K - $39.6K
9% of jobs
$40.1K is the 75th percentile. Wages above this are outliers.
$39.6K - $44.9K
17% of jobs
$44.9K - $50.2K
4% of jobs
$50.2K - $55.5K
2% of jobs
$55.5K - $60.8K
3% of jobs
$60.8K - $66.1K
0% of jobs
$66.1K - $71.4K
0% of jobs
$71.4K - $76.7K
0% of jobs
$76.7K - $82K
0% of jobs
$23.8K
$39.7K
$82K
How much do amazon machine learning jobs pay per year?
What types of projects and daily tasks can I expect in an Amazon Machine Learning position?
As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?
To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.
What is an Amazon Machine Learning job?
An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.
- Internship Fuel Management
- Machine Learning Engineer
- Contract Machine Learning Engineer Biotech
- Machine Learning Engineer Apprenticeship
- Internship Firefly Internships
- Java Machine Learning
- Internship Machine Learning Engineer New Grad
- Internship Edge Ai Machine Learning
- Machine Learning Engineer From Home
- Data Wrangler Intern
- Bayesian Optimization
- Contract Google Machine Learning Engineer
- Software Engineer Mle
- Remote Tesla Machine Learning Engineer
- Reinforcement Learning
- Machine Learning Internship Microsoft
- Un Internship
- Urgently Hiring Machine Learning Startup
- Seasonal Medical Imaging Machine Learning
- Learning Management System Intern

C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems
Austin, TX • On-site
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 17 hours ago
Amazon rating
7.4
Based on 6,965 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
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
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
- 2+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
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
- Experience in computer architecture
- Experience writing firmware or bare metal software using C/C++
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.
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 https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
About Amazon
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.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US