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Aws Neuron Apps Jobs (NOW HIRING)

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Aws Neuron Apps information

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How much do aws neuron apps jobs pay per hour?

As of May 31, 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 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 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 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.

What is the difference between Aws Neuron Apps vs AWS Cloud Engineers?

AspectAws Neuron AppsAWS Cloud Engineers
Primary FocusDeveloping and optimizing machine learning inference applications on AWSDesigning, deploying, and managing cloud infrastructure and services on AWS
Required SkillsMachine learning, AWS Neuron SDK, programming (Python, C++)Cloud architecture, scripting, security, networking
Work EnvironmentData centers, AI/ML labs, software development teamsCloud environments, DevOps teams, infrastructure management
CertificationsAWS Certified Machine Learning – Specialty, AWS Certified Solutions ArchitectAWS 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.

More about Aws Neuron Apps jobs
What cities are hiring for Aws Neuron Apps jobs? Cities with the most Aws Neuron Apps job openings:
What states have the most Aws Neuron Apps jobs? States with the most job openings for Aws Neuron Apps jobs include:
Infographic showing various Aws Neuron Apps job openings in the United States as of May 2026, with employment types broken down into 25% Locum Tenens, 25% As Needed, and 50% Part Time. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.
Software Development Manager, Foundations Software

Software Development Manager, Foundations Software

Amazon

Austin, TX • On-site

$122.40K - $161.60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,795 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

In this role you will be responsible for building and supporting a team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization.
Key job responsibilities
* Build and develop a strong team of engineers that would deliver the pre-check suite.
* Work closely with the hardware and firmware design teams.
* Collect requirements from various other teams including training, inference and runtime.
* Collaborate with the runtime team to ensure timely release of the pre-check tools.
* Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute.
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.
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 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.
About Amazon Annapurna Labs:
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.
About AWS Utility Computing (UC):
AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.
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.
About AWS Neuron:
AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.
BASIC QUALIFICATIONS
- 8+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
PREFERRED QUALIFICATIONS
- Experience designing and developing large scale, high-traffic applications
- Experience with ML hardware/Software
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, CA, Cupertino - 212,700.00 - 287,700.00 USD annually
USA, TX, Austin - 184,900.00 - 250,200.00 USD annually

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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