Hardware Development Engineer - Annapurna

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry.

As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS.

Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services."

By applying to this position, your application will be considered for all locations we hire for in the United States.

In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry.

The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing : either Machine Learning acceleration, or FPGA acceleration.

As a member of the Cloud-Scale Machine Learning Acceleration team, you will be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia, which is a machine learning inference product designed to deliver high performance at low cost.

If you are interested in ""building a complete product"" from inception to delighted customers, Annapurna is a fantastic choice.

If this sounds exciting to you - come build the future with us!"

Key job responsibilities

• Be part of hardware design team for acceleration cards, servers, and electrical validation for silicon
• Work on schematic design for new acceleration cards
• Be involved with AWS Servers testing
• Participate in modeling and simulation of interconnects"

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.

If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work / Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

• Bachelors’ degree or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2023 and September 2024
• Academic, internship, or professional experience with schematic design and layout review of PCBs
• Academic, internship, or professional experience with x86 system design and microcontroller programming
• Familiarity with oscilloscope and multimeters"

PREFERRED QUALIFICATIONS

• Project / Internship experience with Automation (Python, Perl, Shell, or Lua)
• Academic, internship, or professional experience with circuit boards (2-layer or 4-layer), buck or linear regulators, transmission lines (TE, TM, TEM), high-speed design (USB, PCIE), transistors, operational amplifiers, low-speed interfaces (I2C, SPI), Linux, microcontrollers, and soldering.
• Familiarity with simulation and modeling tools such as Cadence Allegro, Cadence OrCAD, Altium Designer, Autodesk Eagle, KiCAD, and Spice simulation."
30+ days ago