Early - career firmware engineer developing embedded software for Nokia’s next - generation optical network equipment. Building and testing C/C++ and Python firmware within Scrum teams.
About the role
- Staff Firmware Engineer building embedded, edge AI, and full-stack safety systems. Samsara’s IoT platform helps physical-operation industries improve safety, efficiency, and sustainability.
Responsibilities
- Own outcomes end-to-end from customer problem to shipped, measured feature across firmware, Go backend services, and web/mobile surfaces
- Drive technology choices and implement embedded and firmware solutions
- Establish architectural patterns with broad impact across device-to-cloud products
- Leverage voice as an interface for AI Agents and human communication
- Design for device constraints, connectivity, cloud services, and fleet-scale rollout
- Identify opportunities and influence technology direction and engineering culture
- Ensure edge AI algorithms are accurate and operate within device constraints
- Build with AI agents and raise team AI fluency
- Partner with Hardware, Backend, Web, Mobile, Product, and Customer Success teams
- Lead teams delivering products and capabilities contributing to products and revenue
- Solve complex technical problems and accelerate high-quality product delivery
- Act as a multiplier for team impact and output
- Champion Samsara’s cultural principles as the company scales globally
Requirements
- 10+ years of experience designing, developing, and deploying software
- At least 2 years in a technical leadership or architecture role
- Deep expertise in at least one embedded domain, such as multimedia, connectivity, drivers and kernel, power, or real-time systems
- Experience shipping across firmware, Go backend services, and web or mobile surfaces
- Strong programming skills in C/C++, Go, Python, or similar
- Product and systems thinking, including device constraints, connectivity, cloud, and fleet-scale rollout
- Experience using AI tools in day-to-day engineering work and building with AI agents
- Demonstrated ability to lead and deliver complex, high-impact projects with multiple dependencies
- Strong communication and collaboration skills
- Track record of building systems under scarce compute, data, or hardware budgets
- Expertise in multimedia frameworks, video codecs, and camera systems (ideal candidate)
- Experience developing and managing software for large-scale embedded systems deployed on 1M+ devices (ideal candidate)
- Experience deploying CV/ML models on edge devices (ideal candidate)
- Background in robotics, drones, consumer electronics, or automotive (ideal candidate)
Benefits
- Initial RSU grant with no vesting cliff
- Ongoing equity refresh opportunities tied to performance
- Performance-based bonus/variable pay
- Equity for eligible roles
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
- Flexible working model
- Offices available for employees who prefer to work in-person
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