SYSTEMS ENGINEERING AND ANALYSIS

Systems Engineer

E-commerce got real-time data infrastructure decades ago. 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. RADAR is already deployed across 1,400+ 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. Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology.

Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.

High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company.

Radar is hiring a Systems Engineer who will take end-to-end ownership of system-level inventory features. Radar's system consists of custom RFID sensors with complex hardware, firmware, software and cloud integration. The System Engineer will own cross-functional features to ensure that performance and quality standards are achieved across all hardware and software subsystems and components in the system. You will oversee feature implementation of the integrated system through testing, debug and customer release, and collaborate across all engineering teams including hardware, embedded software and analytics. Ultimately, you will be leading the problem solving process, writing requirements, coordinating cross-functionally and analyzing system-level data to ensure all customer-facing features perform as expected.

You will understand how each component of the system contributes to the functionality and performance of the feature, lead cross functional work groups, validate and debug issues, analyze test data to draw practical conclusions, and report status to leadership.

Write detailed, testable feature requirements with well-defined acceptance criteria for testing to ensure the implemented feature meets both internal and customer expectations. Decompose requirements to subsystem levels to inform required component performance.

Data Analysis: Create and run your own analyses in Python/SQL as needed; Dig into production data from stores to understand how features are performing in the field

Communicate the plan with scope and timing to engineering and product leadership

S. in Engineering or any equivalent technical discipline

• 3-5 years of experience working on integrated hardware, firmware and software sensors or products
• You are proficient with Python
• You have strong leadership skills - you can translate between engineering disciplines and align stakeholders with different technical backgrounds or opinions
• You have experience writing system requirements, test plans, or feature specs that guide cross-functional engineering team implementation
• You have experience working across hardware and software disciplines
• Experience writing and automating test scripts for integrated hardware/software products

Complete onboarding and security compliance training.

Familiarize yourself with Radar's tools and testing capabilities - understand existing test setups and data infrastructure, with capabilities to analyze relevant data as needed.

Understand the full scope of your assigned feature, with a plan for maintaining high quality through the upcoming release cycle

Lead a standing weekly cross-functional feature meeting where feature design, implementation, and test are planned and reviewed

Create a set of requirements to outline the key performance required for your feature. Complete hands-on data analysis to characterize the performance of your feature and compare against the stated requirements.

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. 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. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.