About the Role
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 1,400+ 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. 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.
Responsibilities
- Use statistical process control (SPC) and data analysis to monitor production lines and prevent defects before they occur.
- Investigate product failures using structured methods such as 8D and fishbone analysis, and implement corrective and preventive actions.
- Work with the supply chain to ensure raw materials and components meet specified requirements.
- Ensure manufacturing facilities meet regulatory and industry-specific certifications (e.g., ISO 9001).
- Drive root cause analysis and corrective actions on field-failure returns to proactively prevent future returns.
- Feed failure and quality data from the factory and field back to the design engineering team to drive ongoing product improvements.
Requirements
- 4 year degree in a technical field (prefer EE)
- Manufacturing processes (Electronics and mechanical assembly, industrial automation, injection molding, box build, etc.) and the ability to read engineering drawings and schematics, including GD&T.
- Six Sigma, Lean Manufacturing, and FMEA.
- Able to bridge communication between production-floor operators, engineering, program management, functional management, and customers.
- Experience generating and managing Non-Conformance Reports (NCRs), Corrective Action Requests (CARs), and First Article Inspections (FAIs).
Skills
- Hardware quality
- NPI
- Sustaining programs
- Hardware suppliers
- Contract manufacturers
- Third-party integrators
- Process design
- Data management
- Test development
- Supplier audits
- Cross-functional coordination
- Electronics manufacturing practices
- Electrical engineering
- Statistical process control (SPC)
- Data analysis
- Root cause analysis
- CAPA
- 8D
- Fishbone analysis
- Supplier quality
- Compliance
- Auditing
- ISO 9001
- RMA disposition
- Continuous improvement
- Design engineering
- Technical communication
- Documentation
Education Level
- 4 year degree in a technical field
Salary/Compensations
- $110,000-$160,000
Benefits
- Equity
- Comprehensive medical and dental coverage
- Life and disability benefits
- 401k plan
- Flexible time off
- Paid parental leave
About the Company
- 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 1,400+ 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.
- 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.
Equal Opportunity
- 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.
