STEM OPT Amazon Web Services Aws Jobs
Amazon Web Services roles in cloud infrastructure, machine learning, and distributed systems align squarely with STEM OPT eligibility. AWS must be enrolled in E-Verify to hire you, and your STEM degree unlocks a 24-month OPT extension beyond the initial 12 months, giving you up to 36 months of work authorization to build your U.S. career.
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Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration. At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers.
We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible. The Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us.
This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding.
Key job responsibilities
- Software / hardware architecture and co-design
- Bare metal C/C++ software development, testing, debug, and performance improvements
- Test suite and infrastructure development
- Developing software which can be maintained, improved upon, documented, tested, and reused
- Close collaboration with RTL designers, design verification engineers, other software teams and customers
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience writing firmware or bare metal software using C/C++
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.
Company - Annapurna Labs (U.S.) Inc.
Job ID: A3133286
Description
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration. At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers.
We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible. The Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us.
This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding.
Key job responsibilities
- Software / hardware architecture and co-design
- Bare metal C/C++ software development, testing, debug, and performance improvements
- Test suite and infrastructure development
- Developing software which can be maintained, improved upon, documented, tested, and reused
- Close collaboration with RTL designers, design verification engineers, other software teams and customers
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience writing firmware or bare metal software using C/C++
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.
Company - Annapurna Labs (U.S.) Inc.
Job ID: A3133286
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Get Access To All JobsTips for Finding STEM OPT Authorization in Amazon Web Services Aws
Verify your CIP code before applying
Your STEM OPT extension depends on your degree's Classification of Instructional Programs code mapping to an approved STEM field. Check your DSO's records against the DHS STEM Designated Degree Program List before targeting AWS roles to confirm eligibility.
Confirm E-Verify enrollment before accepting
AWS must be actively enrolled in E-Verify for your STEM OPT extension to be authorized. Cross-check enrollment status directly through the E-Verify employer search tool before you sign any offer letter.
Target cloud and ML job codes strategically
AWS posts roles under SOC codes like Software Developers, Cloud Architects, and Data Scientists. Use O*NET to match your degree field to the specific occupation code for your target role, which your DSO needs for the I-983 training plan.
File your I-983 training plan before day one
Your I-983 must be signed by both you and an authorized AWS representative before your STEM OPT extension start date. Late submission creates an authorization gap, so initiate the training plan conversation during the offer negotiation stage.
Use Migrate Mate to find verified STEM OPT roles
Searching broadly across AWS job listings wastes time if the hiring team isn't set up for STEM OPT. Migrate Mate filters for employers with confirmed E-Verify enrollment so your applications land where your work authorization is already understood.
Amazon Web Services Aws jobs are hiring across the US. Find yours.
Find Amazon Web Services Aws JobsFrequently Asked Questions
Does AWS need to be enrolled in E-Verify for me to work there on STEM OPT?
Yes. E-Verify enrollment is a hard legal requirement for STEM OPT, not a preference. Your employer must be enrolled and in good standing with E-Verify throughout your entire STEM OPT extension period. Before accepting an AWS offer, confirm enrollment through the E-Verify employer search tool. If enrollment lapses at any point during your extension, your work authorization is at risk.
Which STEM degrees qualify me for the 24-month STEM OPT extension at an AWS role?
Your degree must appear on the DHS STEM Designated Degree Program List and carry an approved CIP code. Degrees in computer science, electrical engineering, mathematics, statistics, and information systems are commonly eligible. Your DSO at your university verifies your specific CIP code and recommends the STEM OPT extension in SEVIS. A degree in a non-STEM field, even for a highly technical AWS role, does not qualify.
What goes into the I-983 training plan for an AWS position?
The I-983 requires a detailed description of how your AWS role provides practical training directly related to your STEM degree. It must include your job duties, the skills you'll develop, learning objectives tied to your coursework, and a supervision structure. An authorized AWS representative co-signs the form. USCIS requires you to submit it to your DSO before your extension start date, and AWS must conduct formal performance evaluations every six months.
How do cap-gap rules apply if AWS files an H-1B petition for me?
If your OPT EAD expires between April 1 and October 1 and AWS timely files an H-1B cap-subject petition on your behalf, cap-gap protection through USCIS automatically extends your work authorization to October 1. You can keep working during this window, but you must carry documentation of the pending petition alongside your expired EAD. If the petition is withdrawn or denied before October 1, your cap-gap protection ends immediately.
How do I find AWS roles that are set up to hire STEM OPT students?
Not every AWS team or hiring manager is equally familiar with STEM OPT requirements. Migrate Mate surfaces roles from employers with confirmed E-Verify enrollment, so you can focus your applications on positions where your authorization is already compatible. From there, confirm during the recruiter screen that the team can support the I-983 co-signing process before investing time in interviews.
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