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Aws Neuron Apps Jobs (NOW HIRING)

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Aws Neuron Apps information

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$70

$95

How much do aws neuron apps jobs pay per hour?

As of May 30, 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 Engineer III, Annapurna Labs

Software Development Engineer III, Annapurna Labs

Amazon

New York, NY • On-site

Full-time

Posted 11 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,788 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

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.
You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Trainium and Inferentia. As a Sr

SDE you will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.
Key job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems.

You'll also:
- 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.
- Build high-quality, highly available, always-on products.
- 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

You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers.
- Work in a startup-like development environment, where you're always working on the most important stuff.


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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