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Aws Neuron Apps Jobs in California (NOW HIRING)

Aws Neuron Apps information

What is an AWS Neuron app?

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 skills and qualifications are needed to thrive as an AWS Neuron Apps developer?

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 common challenges when developing applications with AWS Neuron, and how can a new team member 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 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.

What job categories do people searching Aws Neuron Apps jobs in California look for?

The top searched job categories for Aws Neuron Apps jobs in California are:

What cities in California are hiring for Aws Neuron Apps jobs?

Cities in California with the most Aws Neuron Apps job openings:

Infographic showing various Aws Neuron Apps job openings in California as of June 2026, with employment types broken down into 100% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Applied Scientist, AWS Neuron Science Team

Amazon

Santa Clara, CA

Full-time

Re-posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,115 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems.

As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas:
- AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization
- Machine Learning Compiler: Creating advanced compiler techniques for ML workloads
- System Robustness: Building tools for accuracy and reliability validation
- Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures
A day in the life
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 the team
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.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
Why 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique

Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
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.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US