Job description

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). 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 I, 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 Bachelor's or Master's degree program in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a final graduation date of May 2027 or earlier 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 Bachelor's or Master's 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 amazon.jobs 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 hiring.amazon.com . Austin, TX, USA - 116,100.00 USD Annually Cupertino, CA, USA - 133,600.00 USD Annually

Requirements

Must-haves

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 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 I, 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
Bachelor's or Master's degree program in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a final graduation date of May 2027 or earlier
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
Bachelor's or Master's 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)

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learninggomlpython

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

401(K)