The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in ... Apps services in AWS, including support for customers who require specialized security solutions ...
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in ... Apps services in AWS, including support for customers who require specialized security solutions ...
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in ... Apps services in AWS, including support for customers who require specialized security solutions ...
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in ... Apps services in AWS, including support for customers who require specialized security solutions ...
Aws Neuron Apps information
See salary details
$10.10 - $17.90
4% of jobs
$17.90 - $25.70
0% of jobs
$25.70 - $33.50
0% of jobs
$33.50 - $41.30
0% of jobs
$41.30 - $49.10
2% of jobs
$49.10 - $56.91
5% of jobs
$61.64 is the 25th percentile. Wages below this are outliers.
$56.91 - $64.71
22% of jobs
The median wage is $70.20 / hr.
$64.71 - $72.51
23% of jobs
$79.99 is the 75th percentile. Wages above this are outliers.
$72.51 - $80.31
19% of jobs
$80.31 - $88.11
16% of jobs
$88.11 - $95.91
8% of jobs
$10
$70
$95
How much do aws neuron apps jobs pay per hour?
As of Jul 15, 2026, the average hourly pay for aws neuron apps in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.
What does AWS Neuron do?
AWS Neuron is a software development framework that enables developers to optimize and run machine learning models on AWS Inferentia and Trainium chips. It provides tools and libraries to accelerate deep learning inference and training workloads, often used in AI and machine learning environments. Job roles involving AWS Neuron typically require knowledge of neural networks, AWS cloud services, and programming skills in Python or similar languages.
Is it difficult to get a job at AWS?
Securing a job as an AWS Neuron Apps developer can be competitive and typically requires strong skills in cloud computing, machine learning, and programming, along with relevant certifications like AWS Certified Machine Learning Specialty. Candidates often need experience with AWS services, neural network frameworks, and a solid understanding of hardware acceleration. The difficulty depends on your experience level and the specific role's requirements.
What AWS jobs are in high demand?
AWS-related jobs in high demand include Cloud Solutions Architects, Cloud Engineers, DevOps Engineers, and Security Specialists. These roles require expertise in cloud infrastructure, scripting, automation tools, and certifications like AWS Certified Solutions Architect or AWS Certified DevOps Engineer. Demand is driven by organizations migrating to cloud platforms and seeking professionals skilled in managing scalable, secure AWS environments.
What are some common challenges faced when developing applications with AWS Neuron, and how can a new team member effectively overcome them?
Developing applications with AWS Neuron often involves optimizing deep learning models to run efficiently on Inferentia or Trainium hardware, which can present challenges with model compatibility, debugging, and performance tuning. New team members can overcome these hurdles by familiarizing themselves with the Neuron SDK, leveraging AWS-provided tools for profiling and debugging, and collaborating closely with cloud infrastructure and machine learning teams. Regularly reviewing Neuron release notes and documentation ensures awareness of the latest features and best practices, helping to streamline the deployment process and maximize performance.
What are the key skills and qualifications needed to thrive as an AWS Neuron Apps Developer, and why are they important?
To thrive as an AWS Neuron Apps Developer, you need a strong background in machine learning frameworks (like TensorFlow or PyTorch), Python programming, and a solid understanding of AWS infrastructure, often supported by relevant AWS certifications. Familiarity with AWS Neuron SDK, Inferentia and Trainium hardware, and cloud deployment tools is essential. Strong problem-solving abilities, adaptability, and effective communication help you collaborate and optimize AI workloads efficiently. These skills are crucial for building, deploying, and scaling high-performance AI applications on AWS, ensuring both technical excellence and cost-effectiveness.
What is the difference between Aws Neuron Apps vs AWS Cloud Engineers?
| Aspect | Aws Neuron Apps | AWS Cloud Engineers |
|---|---|---|
| Primary Focus | Developing and optimizing machine learning inference applications on AWS | Designing, deploying, and managing cloud infrastructure and services on AWS |
| Required Skills | Machine learning, AWS Neuron SDK, programming (Python, C++) | Cloud architecture, scripting, security, networking |
| Work Environment | Data centers, AI/ML labs, software development teams | Cloud environments, DevOps teams, infrastructure management |
| Certifications | AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect | AWS Certified Solutions Architect, AWS Certified DevOps Engineer |
While Aws Neuron Apps focus on deploying machine learning inference workloads using AWS Neuron SDK, AWS Cloud Engineers handle broader cloud infrastructure and services. Both roles require AWS certifications and technical expertise but differ in their core responsibilities and work environments.
What are AWS Neuron Apps?
AWS Neuron Apps refer to applications that are specifically designed and optimized to run on AWS Inferentia and Trainium chips using the AWS Neuron SDK. These apps leverage Neuron's machine learning acceleration to deliver high-performance deep learning inference and training, often at lower costs compared to traditional GPU-based solutions. Developers can use popular frameworks like TensorFlow and PyTorch with Neuron to build, deploy, and scale AI workloads efficiently on AWS infrastructure.
Will Amazon really pay you to work from home?
Amazon offers remote work opportunities for various roles, including positions related to AWS Neuron Apps, and many employees are able to work from home depending on the job requirements. These roles often require specific technical skills and may involve remote collaboration tools. However, eligibility for remote work depends on the position and company policies at the time of hiring.
More about Aws Neuron Apps jobs
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What states have the most Aws Neuron Apps jobs? States with the most job openings for Aws Neuron Apps jobs include:
What job categories do people searching Aws Neuron Apps jobs look for? The top searched job categories for Aws Neuron Apps jobs are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 25 days ago
Amazon rating
7.4
Based on 6,968 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.
In this role as a ML Compiler engineer, you'll be instrumental in designing, developing, and optimizing features for our compiler. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Additionally, you'll collaborate closely with cross-functional team members from the Runtime, Frameworks, and Hardware teams to ensure system-wide performance optimization.
As part of the Backend team, you'll play a significant role in designing and developing various aspects of our system. This includes but is not limited to instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design.
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.
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.
Key job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You will:
Solve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Research implementations that deliver the best possible experiences for customers.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also:
Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where you're always working on the most important stuff.
About the team
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.
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.
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.
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 & 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.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- 3+ years of non-internship professional software development experience
- Proficiency with 1 or more programming languages (C++ preferred).
- 2+ years of experience in optimization algorithms, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- M.S. or Ph.D. in computer science or related field
- Strong knowledge in one or more of the areas of: compiler design, instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design
- Experience with LLVM and/or MLIR
- Experience with developing algorithms for simulation tools
- Experience is TensorFlow, PyTorch, and/or JAX
- Experience in LLM, Vision or other deep-learning models
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, WA, Seattle - 143,700.00 - 194,400.00 USD annually
In this role as a ML Compiler engineer, you'll be instrumental in designing, developing, and optimizing features for our compiler. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Additionally, you'll collaborate closely with cross-functional team members from the Runtime, Frameworks, and Hardware teams to ensure system-wide performance optimization.
As part of the Backend team, you'll play a significant role in designing and developing various aspects of our system. This includes but is not limited to instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design.
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.
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.
Key job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You will:
Solve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Research implementations that deliver the best possible experiences for customers.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also:
Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where you're always working on the most important stuff.
About the team
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.
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.
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.
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 & 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.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- 3+ years of non-internship professional software development experience
- Proficiency with 1 or more programming languages (C++ preferred).
- 2+ years of experience in optimization algorithms, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- M.S. or Ph.D. in computer science or related field
- Strong knowledge in one or more of the areas of: compiler design, instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design
- Experience with LLVM and/or MLIR
- Experience with developing algorithms for simulation tools
- Experience is TensorFlow, PyTorch, and/or JAX
- Experience in LLM, Vision or other deep-learning models
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, WA, Seattle - 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