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Software Development Engineer, Nitro Card, Annapurna Labs

Amazon is hiring a Software Development Engineer, Nitro Card, Annapurna Labs in Cupertino, United States. It pays $165k-$224k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • The listed pay starts close to the typical software engineer posting on Level.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Annapurna Labs (our organization within AWS UC) 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 Nitro is the underlying platform for our next generation EC2 instances. Comprised of custom AWS hardware and software that work together to deliver security and performance that is indistinguishable from bare metal.

As part of the Nitro team, you will be a thought leader supporting the ground-up development of key features that will support advanced hardware that offloads and accelerates IO for functions, security chips that enable the most secure cloud platform available today, and lightweight hypervisors that manage memory and CPU allocation, delivering bare-metal performance at scale.



Key job responsibilities
This is a hands-on role that combines software development responsibilities with team leadership. The successful candidate will be expected to:

Actively contribute to software development across all verticals, from Linux services and drivers, and related applications, Nitro card integration and Platform bringups.

Collaborate with cross-functional teams and stakeholders to align development efforts with broader organizational goals.
Stay current with emerging technologies and industry trends related to Nitro Cards and AWS infrastructure.

This role requires a unique blend of technical expertise and leadership skills, with expectation to actively code and contribute to the development process while coordinating with other teams to ensure new AWS platforms are delivered to the market in time.

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

- Bachelor's degree in Computer Science or related technical field
- 3+ years of engineering experience
- 3+ years of embedded firmware development experience
- 3+ years of experience with programming language: C or C++

Preferred qualifications

- Experience in embedded development in C/C++, or experience writing low level drivers
- Experience with Linux kernel

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 - 165,200.00 - 223,600.00 USD annually

How we rate this

Software Development Engineer, Nitro Card, Annapurna Labs at Amazon rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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$167k

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