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Salary: USD 162,400 - 290,000 / annual
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform that enables organizations in agriculture, construction, field services, transportation, and manufacturing to harness IoT data for actionable insights and operational improvement. The company serves over 2.3 million deployed IoT devices globally.
The Safety Firmware Team builds next-generation intelligent video and AI-driven safety solutions, delivering low-latency, high-quality video processing, voice-powered AI agents, and advanced computer vision models at the edge. This role is for a hands-on technical leader who operates across the full stack: embedded systems, Go backend services, and web/mobile surfaces.
You will own outcomes end-to-end, from customer problems to shipped, measured features. Key responsibilities include:
- Drive technology choices and establish architectural patterns with broad impact across device-to-cloud products
- Design for whole systems: device constraints, connectivity, cloud services, and fleet-scale rollout
- Leverage voice as the new interface, powering AI agents and human communication
- Ensure accuracy of AI algorithms running at the edge within device constraints
- Build with AI agents by default and raise AI fluency across the engineering team
- Partner closely with Hardware, Backend, Web, Mobile, Product, and Customer Success teams
- Lead teams in delivering products and capabilities that drive revenue
- Solve hard technical problems and help products reach market quickly with high quality
- Act as a multiplier for the team, raising impact and output of every team member
- Champion Samsara's cultural principles as the company scales globally
You will work on products including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. The role offers autonomy and support to make long-term impact as part of a recently public company.
**Requirements:**
- 10+ years designing, developing, and deploying software with deep expertise in embedded systems and firmware, including at least 2 years in a technical leadership or architecture role
- Deep expertise in at least one embedded domain (multimedia, connectivity, drivers/kernel, power, or real-time systems)
- Shipped across the stack: firmware, Go backend services, and web or mobile surfaces—not just embedded
- Strong programming skills in C/C++, Go, Python, or similar
- Product and systems thinking: shipped products (not just components), ties technical decisions to customer outcomes, reasons about whole systems including device constraints, connectivity, cloud, and fleet-scale rollout
- High agency and execution speed: owns outcomes end-to-end from vague customer problem to shipped, measured feature without waiting for spec or hand-off
- Already uses AI tools in day-to-day engineering work, builds with AI agents by default, can speak concretely to share of AI-generated code, and raises AI fluency of surrounding team
- Demonstrated ability to lead and deliver complex, high-impact projects with multiple dependencies
- Strong communication and collaboration skills, equally credible in kernel driver review and backend design review, able to move across teams and influence cross-functional stakeholders
- Track record of building systems that do more with less hardware, comfortable operating under scarce compute, data, or hardware budgets in any industry
**Ideal candidate also has:**
- Expertise in multimedia frameworks, video codecs, and camera systems
- Played prominent role in shaping engineering culture of rapidly scaling, large, global engineering team
- Expertise developing and managing software for large-scale embedded systems deployed on 1M+ devices
- Experience deploying CV/ML models on edge devices in real-world applications
- Background in scarce-resource industry (robotics, drones, consumer electronics, automotive); strong "do more with less" track record matters more than exact industry pedigree
