Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing ...
Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing ...
Software Development Manager, AWS Neuron Frameworks
Cupertino, CA · On-site
$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
Software Development Manager, AWS Neuron Frameworks
Cupertino, CA · On-site
$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs
Seattle, WA · On-site
$118K - $163K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs
Seattle, WA · On-site
$118K - $163K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... 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
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the ...
Software Development Manager, AWS Neuron Frameworks
Cupertino, CA · On-site
$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
Software Development Manager, AWS Neuron Frameworks
Cupertino, CA · On-site
$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs
Seattle, WA · On-site
$118K - $163K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs
Seattle, WA · On-site
$118K - $163K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Austin, TX · On-site
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... 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
Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational ... Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the ...
Machine Learning Engineer
Laurel, MD · On-site
$220K - $230K/yr
Use AWS services such as EC2, S3, and RDS for building and deploying applications. * Integrate ... AWS * Machine learning Salary: $220,000 - $230,000 annually ----- Excellent benefits package ...
Machine Learning Engineer
Laurel, MD · On-site
$220K - $230K/yr
Use AWS services such as EC2, S3, and RDS for building and deploying applications. * Integrate ... AWS * Machine learning Salary: $220,000 - $230,000 annually ----- Excellent benefits package ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Remote Senior DevOps Engineer: AWS ML Pipelines & FinOps
Doral, FL · Remote
$120K - $154K/yr
A leading tech talent firm is seeking a Senior DevOps Engineer specializing in AWS machine learning pipelines. The role involves designing and operating SageMaker-based ML pipelines while ensuring ...
Remote Senior DevOps Engineer: AWS ML Pipelines & FinOps
Doral, FL · Remote
$120K - $154K/yr
A leading tech talent firm is seeking a Senior DevOps Engineer specializing in AWS machine learning pipelines. The role involves designing and operating SageMaker-based ML pipelines while ensuring ...
Machine Learning Engineer
$220K - $230K/yr
Use AWS services such as EC2, S3, and RDS for building and deploying applications. Integrate model ... AWS Machine learning Salary: $220,000 - $230,000 annually ----- Excellent benefits package ...
Machine Learning Engineer
$220K - $230K/yr
Use AWS services such as EC2, S3, and RDS for building and deploying applications. Integrate model ... AWS Machine learning Salary: $220,000 - $230,000 annually ----- Excellent benefits package ...
About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Experience with AWS or GCP ML services (SageMaker, Vertex AI)
About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Experience with AWS or GCP ML services (SageMaker, Vertex AI)
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Director of Machine Learning
Pittsburgh, PA · On-site +1
About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Experience with AWS or GCP ML services (SageMaker, Vertex AI)
Director of Machine Learning
Pittsburgh, PA · On-site +1
About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Experience with AWS or GCP ML services (SageMaker, Vertex AI)
About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Experience with AWS or GCP ML services (SageMaker, Vertex AI)
Quick apply
About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Experience with AWS or GCP ML services (SageMaker, Vertex AI)
Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Austin, TX · On-site
$103K - $142K/yr
Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that ... 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
Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
AI AWS Technical Architect
Parsippany, NJ · On-site
$65 - $85.50/hr
AWS Machine Learning Specialty * Exposure to Kubernetes and cloud-native deployment patterns * Strong communication and stakeholder management skills
AI AWS Technical Architect
Parsippany, NJ · On-site
$65 - $85.50/hr
AWS Machine Learning Specialty * Exposure to Kubernetes and cloud-native deployment patterns * Strong communication and stakeholder management skills
Director Aws Machine Learning information
See salary details
$36K - $45.5K
2% of jobs
$45.5K - $55.1K
2% of jobs
$55.1K - $64.6K
9% of jobs
$73.1K is the 25th percentile. Wages below this are outliers.
$64.6K - $74.2K
14% of jobs
$74.2K - $83.7K
12% of jobs
The median wage is $90.3K / yr.
$83.7K - $93.3K
17% of jobs
$93.3K - $102.8K
18% of jobs
$104K is the 75th percentile. Wages above this are outliers.
$102.8K - $112.4K
13% of jobs
$112.4K - $121.9K
5% of jobs
$121.9K - $131.5K
5% of jobs
$131.5K - $141K
3% of jobs
$36K
$91.9K
$141K
How much do director aws machine learning jobs pay per year?
As of Jun 5, 2026, the average yearly pay for director aws machine learning in the United States is $91,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $106,000.00 per year, depending on experience, location, and employer.
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What job categories do people searching Director Aws Machine Learning jobs look for? The top searched job categories for Director Aws Machine Learning jobs are:
- Machine Learning Engineer Two
- Machine Learning Operations Engineer
- Physics Based Machine Learning
- Research Machine Learning Federated Learning
- No Experience Nvidia Machine Learning
- Full Time Machine Learning Compiler Engineer
- Freelance Google Machine Learning Engineer
- Patterned Learning Ai
- Google Machine Learning Engineer
- Machine Learning Ai
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 23 days ago
Amazon rating
7.4
Based on 6,811 frontline employees who took The Breakroom Quiz
7th of 39 rated national retailers
Job description
Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our custom-designed machine learning inference and training servers. Our success depends on world-class server infrastructure as we handle massive scale and rapidly integrate emerging technologies. We're looking for a Sr. DFT Design Engineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right trade-offs.
Key job responsibilities
• Define and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodes
• Work closely with block designers and physical design (PD) team to implement highly efficient DFT solutions
• Act as the primary point of contact for cross-functional stakeholders (PD, Architecture, and Product Engineering) to align schedules and goals
• Mentor and develop junior engineers through code reviews, methodology training, and technical guidance
• Manage project timelines and deliverables, ensuring high-quality DFT implementation from RTL through Silicon bring-up
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, electrical engineering, or related field
- 5+ years of practical semiconductor ASIC design work including owning end to end design of major SOC blocks experience
- Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time
- Experience with automation script development
PREFERRED QUALIFICATIONS
- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs
- Experience with modern ASIC/FPGA design and verification tools
- Experience with SOC bring-up and post-silicon validation
- MS degree in computer science, electrical engineering, or related field
- Experience with gate-level testing and multi-clock design practices (CDC)
- Good breadth of knowledge in chip design from micro-architecture through physical design
- Good knowledge of design verification (DV) simulation methodologies
- Strong programming and scripting skills in Perl, Python or Tcl
- Experience with industry standard DFT/SCAN/ATPG tools
- Experience with STA constraints development and analysis for DFT modes
- Practical experience with silicon debug
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.
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, TX, Austin - 159,200.00 - 215,300.00 USD annually
Key job responsibilities
• Define and develop state-of-the-art Design for Test (DFT) architectures for advanced technology nodes
• Work closely with block designers and physical design (PD) team to implement highly efficient DFT solutions
• Act as the primary point of contact for cross-functional stakeholders (PD, Architecture, and Product Engineering) to align schedules and goals
• Mentor and develop junior engineers through code reviews, methodology training, and technical guidance
• Manage project timelines and deliverables, ensuring high-quality DFT implementation from RTL through Silicon bring-up
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, electrical engineering, or related field
- 5+ years of practical semiconductor ASIC design work including owning end to end design of major SOC blocks experience
- Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time
- Experience with automation script development
PREFERRED QUALIFICATIONS
- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs
- Experience with modern ASIC/FPGA design and verification tools
- Experience with SOC bring-up and post-silicon validation
- MS degree in computer science, electrical engineering, or related field
- Experience with gate-level testing and multi-clock design practices (CDC)
- Good breadth of knowledge in chip design from micro-architecture through physical design
- Good knowledge of design verification (DV) simulation methodologies
- Strong programming and scripting skills in Perl, Python or Tcl
- Experience with industry standard DFT/SCAN/ATPG tools
- Experience with STA constraints development and analysis for DFT modes
- Practical experience with silicon debug
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.
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, TX, Austin - 159,200.00 - 215,300.00 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