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Internship Performance Engine Tuning Jobs in Seattle, WA

SpangleAI

Senior Fullstack Engineer

Bellevue, WA · On-site

$138K - $182K/yr

Implement modern rendering strategies (SSR, SSG, ISR) to ensure optimal SEO and performance. * API ... tuning. * Code Quality & Standards: Write clean, maintainable, and reusable code. Enforce best ...

Aetherflux

Intern, Launch Engineering 2027

Kent, WA · On-site

$19 - $24.50/hr

... performance computing clusters (GPU/TPU), and providing secure, high bandwidth optical data ... The engine, the turbopumps that feed it, the mechanisms that separate and land the vehicle, and the ...

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Internship Performance Engine Tuning information

See Seattle, WA salary details

$10

$19

$27

How much do internship performance engine tuning jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for internship performance engine tuning in Seattle, WA is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What is an internship performance engine tuning?

Internship Performance Engine Tuning positions are internship roles focused on optimizing and improving engine performance, typically within automotive or motorsports industries. These internships give students or recent graduates hands-on experience with engine calibration, diagnostics, data analysis, and testing. Interns work with experienced engineers to fine-tune engine parameters for increased power, efficiency, and reliability. It's a great way to gain technical skills and industry knowledge, especially for those interested in automotive engineering or high-performance vehicles.

What kind of projects or tasks can I expect to work on during an internship in performance engine tuning?

As an intern in Performance Engine Tuning, you’ll typically assist with data collection and analysis from engine tests, help calibrate engine control parameters, and support the team in optimizing engine performance for power, efficiency, or emissions targets. You may also contribute to diagnostic troubleshooting and participate in simulation or dynamometer testing. Collaboration with senior engineers and cross-functional teams is common, offering valuable exposure to both technical and team-based problem-solving.

What are the key skills and qualifications needed to thrive as an internship performance engine tuning specialist, and why are they important?

To excel in an Internship Performance Engine Tuning role, a solid understanding of automotive engineering principles, engine mechanics, and coursework in mechanical or automotive engineering are essential. Familiarity with engine management software, diagnostic tools, and data logging systems—plus basic programming or calibration tool proficiency—is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and troubleshoot complex issues. These abilities are critical for optimizing engine performance while ensuring reliability, safety, and regulatory compliance in real-world automotive applications.

What is the difference between Internship Performance Engine Tuning vs Performance Engine Tuner?

AspectInternship Performance Engine TuningPerformance Engine Tuner
CredentialsTypically pursuing or recent graduate, basic knowledgeRelevant certifications or experience in engine tuning
Work EnvironmentTraining setting, supervised projectsProfessional workshop or automotive shop
Industry UsageEntry-level, learning phaseFull-time, specialized role in automotive industry
Search IntentLearning, entry-level opportunitiesProfessional tuning and performance optimization

Internship Performance Engine Tuning is an entry-level position focused on learning and gaining experience under supervision, while Performance Engine Tuner is a professional role requiring experience and certifications to optimize engine performance in a commercial setting.

Infographic showing various Internship Performance Engine Tuning job openings in Seattle, WA as of July 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $40,963 per year, or $19.7 per hour.

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization

Seattle, WA • On-site

Amazon Web Services (AWS)
IT Services • 10K+ employees
Learn more about Amazon Web Services (AWS)external

$139K - $183K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,182 frontline employees who took The Breakroom Quiz

Job description

Description

Annapurna Labs 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 Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a software engineer in the Distributed Training team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale multi-modal large language models like Llama, Qwen, gpt-oss, DeepSeek and beyond, as well as multi-modal generation models such as Stable Diffusion, Flux, WAN, and many more.

The Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with AWS Trainium, maximize training throughput, minimize time-to-convergence, and push the boundaries of training efficiency on Trainium. You will identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance.

Key job responsibilities

This role will lead efforts to optimize distributed training performance on Trainium, with a primary focus on maximizing training throughput, model flops utilization, and efficiency across the Neuron software stack. You will work across PyTorch, JAX, and the Neuron compiler and runtime to enable and tune large-scale training workloads on the latest Trainium instances.

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.

Basic Qualifications
  • - 5+ years of non-internship professional software development experience
  • - 5+ years of programming with at least one software programming language experience
  • - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • - Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
  • - Bachelor's degree in computer science or equivalent
  • - Machine Learning knowledge in frameworks and end to end model training.

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.

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 - 168,100.00 - 227,400.00 USD annually

Company

Annapurna Labs (U.S.) Inc.

Job ID: A2989101

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About Amazon

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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

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