Systems Engineer

ABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategists and works with some of the world's retail brands, including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We’re a fast‑growing, mission‑driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! 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 Radar is hiring a Systems Engineer who will take end‑to‑end ownership of one or more system‑level features — from ideation through implementation, testing, debugging, and customer release. The purpose of this role is to ensure key features are delivered to customers with high quality. You’ll collaborate cross‑functionally with embedded software, cloud, and hardware engineering teams to ensure seamless integration of feature components. This role blends systems engineering, program management, and data analytics. Ultimately, you will lead the problem‑solving process, write requirements, coordinate cross‑functionally, analyze data— whatever it takes to understand the problem and ship the fix to meet the customer’s expectations. Responsibilities End‑to‑end Ownership: take a feature from ideation or debug to customer release, with clear requirements, testing and cross‑functional contributions Problem Definition: triage the current state of each assigned feature — clearly define the problem through test data analysis and determine whether design changes, debug and/or improvements are necessary Requirements: 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 data analyses in Python/SQL as needed; synthesize findings from other team members. Dig into production data from stores to understand how features are performing in the field. Timeline and Plan: create and execute a plan for feature problem resolution and release. Communicate the plan with scope and timing to engineering and product leadership. ABOUT YOU Required You have a B.S. in Engineering or any equivalent technical discipline. 3–5 years of experience working on integrated hardware and software products. You have strong problem‑solving and communication skills. 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 enjoy both diving into the details of a problem and also understanding the high‑level context around it. You have experience writing system requirements, test plans, or feature specs that guide cross‑functional engineering team implementation. You are comfortable operating autonomously in ambiguity. You have experience working across hardware and software disciplines. You maintain an entrepreneurial spirit with a general attitude of "figure it out" when faced with a difficult problem of any type. 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. Familiarize yourself with Radar’s system architecture, especially as it relates to your key feature(s). In your first 60 days, you will: Dive into the current status of the feature to understand where the gaps or potential failure modes exist. Create a plan mapping out all required work and identifying key blockers for success. Develop relationships with key contributors and stakeholders for the scoped work. Familiarize yourself with Radar’s tools and testing capabilities — understand existing test setups and data infrastructure, with capabilities to analyze relevant data as needed. In your first 90 days, you will: 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. At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $120,000 - $160,000 . 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, 401(k) 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. 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. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process. As set forth in RADAR’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr