Sr. Firmware Engineer II

Overview

Lead the development and deployment of next-generation intelligent safety features and video processing by integrating high-performance camera systems and real-time edge computing into Samsara's fleet and industrial products, and help execute the technical strategy and operational cadence for low-latency, high-quality hardware programs at scale.

What you'll do

• Influence a team of engineers on Video-Safety products, solving complex technical problems, guiding architectural decisions, improving quality, and owning key aspects of the tech stack.
• Assume ownership in maintaining the production systems managed by your team and provide operational support and supervision when necessary.
• Participate in roadmap planning sessions with cross-functional peers to define key areas of the roadmap and the technical direction and priorities for Safety products, including tooling and release infrastructure and automated test strategy.
• Ensure the accuracy of AI algorithms operated on the edge and that they run within the constraints of the devices.
• Partner closely with Hardware, backend, and ML teams in defining and building next generation devices.
• Mentor other engineers on the team, helping raise technical standards.
• Champion, role model, and embed Samsara's cultural principles as the company scales globally and across new offices.

What you'll need

• 8+ years of relevant experience in embedded software development, preferably with a focus on embedded Linux systems.
• Strong experience in programming with Golang, C/C++, Rust, or similar.
• Strong experience with media pipelines, multimedia frameworks and deploying CV/ML models on edge devices in real-world applications.
• Proven experience defining and implementing scalable embedded software architecture.
• Proven experience planning, designing, scoping and delivering complex, multi-team, or cross-system long-term projects, involving external dependencies.
• A desire to mentor and grow engineers of all levels.
• Strong written and verbal communication skills, with the ability to work with senior executives as well as junior engineers.
• Commitment to rigorous testing & validation practices.
• Experience working with teams across multiple disciplines, including Product Management, Cloud Software, Machine Learning, and Hardware.
• Bachelor's or Master's degree in Computer Science, Computer Engineering or equivalent field.

Nice to have

• Experience working on products from concept to mass production.
• Proficiency in gstreamer, Google MediaPipe, or similar edge AI/Media frameworks.
• Experience with data analysis using tools such as Databricks, SQL queries, Tableau.
• Experience with one or more of the following technologies: Edge Camera Systems, Video Capture, Video Encoding, Embedded AI.
• Familiarity with a diverse set of quality/testing practices, continuous integration tooling, etc.

Details

• Remote position open to candidates residing in the US.
• Relocation assistance will not be provided.
• Annual base salary range: $154,700 — $260,000 USD, varying by approved pay zone, city of residence, job-related knowledge, skills, and experience.
• Eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance.