Hardware Systems Engineer, AWS Applied AI Services

DescriptionAs 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. Key job 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.

A day in the life 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 the team

ABOUT AWS

Diverse Experiences 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. 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 and AmazeCon 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

• 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.

Preferred Qualifications

• 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle

• 137,300.00
• 185,700.

00 USD annually