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Cloud Hardware Development Engineer Intern, Annapurna Labs - 2027

Amazon is hiring a Cloud Hardware Development Engineer Intern, Annapurna Labs - 2027 in Austin, United States. It pays $99k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include C, Python and Verilog.
  • Level classifies it as an internship.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and validate custom cloud hardware and machine learning acceleration chips as an engineering intern at Annapurna Labs.

CPythonVerilogSystemVerilog
hardware-engineeringfirmwarecustom-siliconmachine-learning-acceleratorsboard-design
At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.

What's in it for you? An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

About the team
Annapurna Labs designs the custom silicon at Amazon - including Graviton (our server processors), Trainium and Inferentia (our machine learning training and inference accelerators), and the Nitro system that powers modern EC2. We own the full stack, from silicon through the software that makes it work (compilers, runtimes, drivers, and the frameworks that let customers run workloads on our hardware). As a Cloud Hardware Development Engineer Intern, you'll write the software that turns custom silicon into products used by millions.

Annapurna has hardware teams across a range of systems and disciplines, and we work to place you on a technical team aligned with your interests and strengths. Example teams and focus areas include:

- Board and system design for ML servers and accelerator platforms
- Firmware and low-level software development (BMC, device firmware)
- Hardware bring-up, validation, and post-silicon testing
- High-speed interconnect and signal integrity
- System-level integration across compute, networking, and storage
Once you join, we partner with you and our hiring managers to match you to a team where your background and interests fit best, so your project is something you're genuinely excited to work on.

As a Cloud HDE Intern, you'll contribute to real hardware development work, which may include:

- Supporting the design, bring-up, and validation of hardware systems and subsystems
- Developing firmware or low-level software that interfaces directly with hardware
- Debugging hardware-software integration issues in the lab using oscilloscopes, logic analyzers, and other bench equipment
- Writing and running tests to validate hardware functionality, performance, and reliability
- Collaborating with ASIC, systems, and software teams to take hardware from design through deployment
- Documenting your work and presenting findings to the team
You'll be paired with a mentor and manager who will scope your project, support your growth, and set you up to deliver meaningful, measurable impact by the end of your internship.

Basic qualifications

- Currently enrolled in a Bachelor's or Master's degree program in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a final graduation date of December 2027 or later
- Coursework or project experience in digital logic design and computer architecture
- Familiarity with a hardware description language (Verilog, SystemVerilog, or VHDL)
- Understanding of fundamental digital design concepts: combinational and sequential logic, finite state machines, timing, and clocking

Preferred qualifications

- Experience in hardware design and validation of components, subsystems and systems
- Experience working with fast-moving, high-performance teams and driving innovative solutions tailored to unique business environments
- Can show strong verbal and written communication skills
- Pursuing a degree with a focus on embedded systems, computer architecture, or hardware design
- Hands-on experience with firmware development or bare-metal programming
- Experience debugging hardware in a lab environment (oscilloscopes, logic analyzers, protocol analyzers)
- Familiarity with communication protocols (PCIe, I2C, SPI, UART, Ethernet)
- Scripting experience (Python, Perl, shell) for test automation
- Prior internship, research, or lab experience in hardware development, embedded systems, or firmware

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 starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.



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How we rate this

Cloud Hardware Development Engineer Intern, Annapurna Labs - 2027 at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Hardware EngineeringFirmwareCustom SiliconMachine Learning AcceleratorsBoard DesignCPythonVerilog

Questions you could be asked

  1. Tell me about a project where hardware engineering was part of your work. What did you do?
  2. Tell me about a project where firmware was part of your work. What did you do?
  3. Tell me about a project where custom silicon was part of your work. What did you do?
  4. Tell me about a project where machine learning accelerators was part of your work. What did you do?
  5. Tell me about a project where board design was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Hardware Engineering, Firmware, Custom Silicon, Machine Learning Accelerators, and Board Design. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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