2026 Annapurna Labs at AWS, Early Career (US) - Machine Learning Systems & Silicon Innovation

Amazon

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Business Operations, C Programming Language, C++ Programming Language, Circuit Design, Cloud Computing, Communication Skills, Computer Architecture, Computer Engineering, Computer Firmware, Computer Science, Construction, Corporate Policies, Customer Support/Service, Device Drivers, Distributed Computing, Electrical Engineering, FPGA, Federal Laws and Regulations, Fleet Management, Hardware Architecture, Hardware Design, Hardware-Software Integration, JAX (Java API for XML), Java, Machine Learning, Mechanical Engineering, Modeling Languages, Open Source, Parallel Computing, Performance Analysis, Performance Engineering, Performance Tuning/Optimization, Perl Programming Language, Programming Languages, Publications, Python Programming/Scripting Language, RTL Design, Software Design, Software Development, State Laws and Regulations, SystemVerilog, Systems Administration/Management, Systems/Internals Programming, Training/Teaching, Truck Driver
LOCATION
Seattle, WA
POSTED
30+ days ago
Description What if you could help build something that's never existed before? At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution - we're accelerating it. We design custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS. From training the largest language models on Earth to developing breakthrough ML accelerator chips, we're inventing the future of cloud computing. We're seeking bold innovators and builders for our 2026 Early Career roles. This isn't your typical early career role - at Annapurna Labs, you'll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what's possible in AI acceleration. Our program offers multiple technical tracks, matching your skills and interests with projects across our organization. Want to architect next-generation AI chips that process billions of parameters? Build distributed systems that scale across thousands of accelerators? Create compiler optimizations that make ML training blazingly fast? Whether your passion lies in hardware design, distributed systems, compiler development, or ML infrastructure, we'll help you find your perfect fit and make meaningful contributions from day one. Some of our technical tracks include: ?? ML Systems & Compilers - Framework Optimization (PyTorch, JAX) - Compiler Development & Optimization - Distributed Training Systems - Performance Engineering - ML Infrastructure Development ?? Systems Software & Infrastructure - Firmware & Driver Development - Runtime Systems - Fleet Management & Automation - Hardware/Software Integration - Performance Analysis Tools ?? Silicon Innovation & Design - RTL Development for ML Accelerators - Hardware Architecture & Modeling - Physical Design & Power Optimization - Custom Circuit Design - Pre/Post Silicon Validation Your placement will be determined through our interview process, taking into account your technical background, interests, and the exciting projects we have in development. One application opens the door to all these opportunities, so we'll work together to find where you can learn the most and have the biggest impact. Basic Qualifications - Experience programming languages such as C/C++, Python, Java or Perl - BS, MS, or PhD in Computer Science, Computer Engineering, Applied Science, Electrical Engineering, Mechanical Engineering or related technical field - Experience in two or more of the following areas: 1. Hardware design (RTL, System Verilog, FPGA development) 2. Systems programming or low-level software development 3. Compiler design or optimization 4. Machine learning frameworks (PyTorch, JAX, TensorFlow) 5. Distributed systems or parallel computing 6. Performance analysis and optimization Preferred Qualifications - Previous industry, internship, research, or project experience in hardware/software co-design, ML systems, or computer architecture - Contributions to open-source projects or research publications - Completed or currently enrolled in coursework covering machine learning, parallel computing, computer architecture and/or compiler construction 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, CA, Cupertino - 127,100.00 - 185,000.00 USD annually USA, TX, AUSTIN - 110,500.00 - 160,000.00 USD annually USA, TX, Austin - 110,500.00 - 160,000.00 USD annually USA, WA, SEATTLE - 110,500.00 - 160,000.00 USD annually USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles