2026 Annapurna Labs at AWS, Early Career (US) - Silicon & AI Systems Innovation
Job 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 ValidationYour 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.
Locations
- United States, TX, Austin, Austin, TX, United States
- United States, WA, Seattle, Seattle, WA, United States
- United States, CA, Cupertino, Cupertino, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
120,000 - 180,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience programming languages such as C/C++, Python, Java or Perlintermediate
- - Experience in two or more of the following areas: 1. Hardware design (RTL, 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 optimizationintermediate
Required Qualifications
- - Experience programming languages such as C/C++, Python, Java or Perl (experience)
- - Recent or upcoming graduate (within 12 months) with BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical field (degree in upcoming graduate)
- - Experience in two or more of the following areas: 1. Hardware design (RTL, 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 (experience)
Preferred Qualifications
- - Previous industry, internship, research, or project experience in hardware/software co-design, ML systems, or computer architecture (experience)
- - Contributions to open-source projects or research publications (experience)
- - Completed or currently enrolled in coursework covering machine learning, parallel computing, computer architecture and/or compiler construction (experience)
- 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. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Documents
Application Instructions
https://www.amazon.jobs/en/jobs/3116902