Embedded Software & Firmware Engineering Lead

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 strategics and works with some of the world's top billion-dollar global retailers. 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!

ABOUT THE JOB

We are seeking a Software Engineering Lead to lead our Embedded Software & Firmware team. You will drive the technical strategy and execution for the software powering Radar’s edge servers and in-store sensors, working at the intersection of hardware and software to deliver reliable, scalable, and insightful real-world data.

This role is both technical and people-focused: you’ll guide architecture and implementation while growing and mentoring a collaborative team.

Responsibilities:

• Serve as a technical leader, actively participating in architectural and implementation discussions for firmware and embedded software on edge servers and in-store sensors
• Build a collaborative, inclusive, and high-performing team focused on delivering results aligned with Radar’s goals.
• Partner with cross-functional teams across Electrical Engineering, Cloud Software, Production, and Data Science to define system components and customer-facing capabilities.
• Navigate technical trade-offs in a rapidly evolving environment and help the team prioritize effectively as new information emerges.
• Drive the evolution of our firmware strategy while ensuring the team meets tactical milestones.
• Lead, mentor, and grow the engineering team, fostering career development and continuous learning.
• Support and lead collaboration across remote and distributed teams.

ABOUT YOU

Required:

• BS or MS in Computer Science, Electrical/Electronics Engineering, or equivalent technical discipline.
• 7+ years of experience developing and shipping firmware or embedded systems for connected products.
• Demonstrated success building technical roadmaps and scaling engineering teams to meet growing product and business needs.
• Proven ability to collaborate across software, hardware, and production teams to deliver reliable, high-quality systems.
• Familiarity with embedded Linux, RTOS environments, or microcontroller-based development.

Preferred:

• 2+ years of experience managing and leading engineering teams.
• Experience building systems for connected, sensor-driven, or IoT products.
• Experience with wireless is particularly desirable, especially in RFID, WLAN, WWAN, BT or related standards.
• Hands on experience with test framework development, automation, and CI.
• Experience with edge computing, device telemetry, or real-time data processing.
• Knowledge of hardware/software bring-up and debugging in embedded systems.
• Background in developing firmware with an emphasis on reliability, maintainability, and operational visibility.

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $150,000.00 - $200,000.00. 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.

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