Cloud Hardware Development Engineer I
Annapurna Labs
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- Machine learning
- Nice to have
- Embedded systemsPython
- Work
- On-site in Austin
- Pay
- Not stated by the employer.
- Skill demand
- Python58%Embedded systems22%Machine learning14%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 7, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
Annapurna Labs designs custom silicon for Amazon, including processors and machine learning accelerators. They own the full stack from silicon to software. This role involves contributing to real hardware development work.
Key Responsibilities
- 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 work and presenting findings to the team.
Requirements & Tech Stack
- 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.
Preferred Qualifications
- 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.