ABOUT US
E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that.
RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,500+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale.
RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond.
Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology.
OUR VALUES
- Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.
- Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.
- High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.
- Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.
- Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.
- Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.
- Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.
ABOUT THE JOB
In this role, you will lead and execute the design, development, and evaluation of next-generation RFID sensor antennas. You will be responsible for the full development lifecycle–from initial simulation-first modeling and multi-element array synthesis to hands-on validation in anechoic environments and site-specific propagation analysis. You will also work closely with cross-functional teams spanning hardware, RF systems, and product engineering to deliver robust, scalable RFID sensor-antenna solutions.
Responsibilities:
- Design, simulate, and optimize custom RFID sensor antennas, including single-element and multi-element array configurations using electromagnetic simulation software.
- Perform full-wave electromagnetic simulations to evaluate antenna performance metrics including impedance matching, radiation patterns, efficiency, isolation, polarization, and coupling of antenna designs.
- Conduct precise antenna calibration and performance characterization in an anechoic chamber.
- Oversee the fabrication of PCB-based antennas and seamless integration with RF front-end components.
- Work alongside hardware and software teams to integrate antenna solutions into compact sensor form factors.
ABOUT YOU
Required:
- You have a BS degree or higher in Electrical Engineering, Applied Physics, or a related field.
- You have 10+ years of relevant industry experience in antenna design and RF systems.
- You have a strong background in electromagnetics and antenna theory.
- You have proven expertise with full-wave electromagnetic simulation tools (e.g., FEKO, HFSS, CST, or similar).
- You have direct experience designing and evaluating multi-element antenna arrays.
- You have experience evaluating, selecting, and integrating commercial antenna products, including managing vendor specifications and hardware validation.
- You have hands-on experience with Vector Network Analyzers and antenna calibration procedures in anechoic chambers.
- You have a strong focus on verification and validation, with expertise in applying rigorous test methodologies to both simulated and measured RF data.
- You have experience correlating system-level performance with physical antenna characteristics.
- You have experience leveraging cloud computing platforms to scale simulation workloads and manage large RF datasets.
- You have a proven track record of successfully delivering commercial wireless products from initial design through to high-volume deployment.
- You have strong verbal and written communication skills.
Preferred:
- You have familiarity with sensor-integrated or constrained-form-factor antennas.
- You have familiarity with FCC/ETSI standards for wireless devices.
- You have knowledge of scripting or automation (e.g., Python, MATLAB) for simulation workflows and data post-processing.
WHAT YOU'LL DO
In your first 30 days, you will:
- Learn Radar’s mission, technology stack and core values.
- Complete onboarding and security compliance training.
- Become familiar with existing RFID systems, antenna designs, and simulation workflows.
- Review current measurement setups, calibration procedures, and test methodologies.
- Set up and validate electromagnetic simulation toolchains to ensure alignment with existing models.
In your first 60 days, you will:
- Perform baseline antenna measurements and calibration in an anechoic chamber to verify hardware performance.
- Compare simulation results with chamber measurement data to refine model accuracy.
In your first 90 days, you will:
- Launch the design phase for next-generation RFID sensor antenna based on the initial findings and system requirements.
At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $190,000 - $233,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.
