Hardware Systems Engineer, AWS Applied AI Services

Amazon • Seattle, WA

1d

About The Position

As part of the AWS Applied AI Solutions organization, we have a vision to
provide business applications, leveraging Amazon’s unique experience and
expertise, that are used by millions of companies worldwide to manage day-to-day
operations. We will accomplish this by accelerating our customers’ businesses
through delivery of intuitive and differentiated technology solutions that solve
enduring business challenges. We blend vision with curiosity and Amazon’s
real-world experience to build opinionated, turnkey solutions. Where customers
prefer to buy over build, we become their trusted partner with solutions that
are no-brainers to buy and easy to use.

This role sits at the heart of building technology that makes checkout-free
shopping possible. You’ll take ownership of RFID/RF hardware systems from early
concept through production, solving complex challenges around accuracy,
reliability, and real-world performance.

What makes this role different is the blend of deep RF engineering and
end-to-end impact—you won’t just design components, you’ll shape how entire
systems come together and perform in dynamic environments. Your work directly
influences how seamlessly the technology works.

You’ll partner closely with hardware, software, and data teams to define system
requirements, design architectures, and validate performance. Along the way,
you’ll run experiments, troubleshoot issues, and generate the high-quality data
needed to improve system intelligence.

If you enjoy hands-on problem solving, working across disciplines, and turning
complex systems into simple, reliable experiences, this role gives you the
chance to make a visible impact at scale.

You start your day diving into RF system performance—spotting patterns, chasing
anomalies, and turning data into insights that keep checkout-free experiences
running seamlessly. Alongside cross-functional teams, you help shape system
architecture and performance targets for what comes next.

Expect plenty of hands-on time: building test setups, running RF experiments,
troubleshooting tricky issues, and validating performance in real-world
conditions. You’ll also collaborate with data and ML teams to ensure the signals
you generate power smarter, more accurate models.

Throughout it all, you capture key findings and design updates—helping scale
robust systems that make “just walk out” feel like magic.

ABOUT AWS:

Amazon values diverse experiences. Even if you do not meet all of the preferred
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.

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.

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.

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 and AmazeCon conferences, inspire us to
never stop embracing our uniqueness.

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.

Requirements

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
• 10+ years of experience in RF and hardware systems design, integration, validation, and deployment.
• Hands-on experience with RFID systems, antennas, RF testing, and hardware optimization.
• Familiarity with hardware system integration, signal integrity, and RF subsystem troubleshooting.
• Strong technical communication skills, including documentation and presentation to cross-functional stakeholders.

Nice To Haves

• MS or PhD in Electrical or Mechanical Engineering or equivalent experience.
• Strong understand the RF fundamentals including Electromagnetic theory, wave propagation, and antenna application,
• Experience with RF test instruments (spectrum analyzers, VNAs, signal generators) and ability to interpret measurement data for system characterization.
• Knowledge of wireless communication protocols and standards (e.g., UHF RFID, NFC, WiFi).
• Experience with network design or IoT hardware systems.
• Proven ability to mentor engineers and collaborate across disciplines.

Responsibilities

• Lead design, integration, and validation of RFID/RF hardware systems across the full product lifecycle (concept to production).
• Define system requirements, architecture, and performance targets in collaboration with cross-functional teams
• Develop and execute test plans and data collection protocols
• Conduct RF performance testing, system troubleshooting, and real-world deployment validation.
• Partner across teams to support data collection, model training, and integrated hardware solutions.
• Produce clear technical documentation for designs, testing, and operations.

Benefits

• Amazon package will include sign-on payments and restricted stock units (RSUs).
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level