Note: The job is a remote job and is open to candidates in USA. Samsara is hiring a firmware engineering manager to lead the deployment of AI from trained models to reliable firmware on devices across its customer fleet. The role sets edge AI strategy, leads and develops engineers, and oversees the delivery of intelligent safety features and video processing on fleet and industrial products.

Responsibilities

• Lead a team of ~5 firmware and ML engineers. Your team builds, optimizes, and deploys AI models on Samsara's fleet and industrial devices. Your work directly affects whether a driver gets a warning before a collision, not after
• Provide hands-on technical leadership. Lead from the front technically, contributing directly to the design, implementation, and optimization of high-performance production systems
• Set the technical bar for edge ML and embedded systems. You'll guide architecture decisions on latency, power, memory, and model performance, and mentor engineers to go deep on problems most teams never touch
• Turn new AI capabilities into shipped products. You'll partner with Product, Hardware, and Full-stack teams to take features from concept to deployment on devices. You'll also keep improving the ones customers rely on every day
• Shape the roadmap. You'll work with leadership on quarterly plans that balance product ambition with engineering health, and make the tradeoffs that deliver the most customer impact
• Build a team people want to join and stay on. You'll create a culture of ownership, accountability, and continuous improvement, with a high bar for execution quality and room for people to grow
• Scale Samsara's culture as we grow globally. You'll champion and role model our principles as the team expands across new offices: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team
• Hire and develop top talent. You'll grow an inclusive, engaged, high-performing team, and help define what great edge AI engineering looks like at Samsara

Skills

• 3+ years of hands-on execution-oriented technical management experience
• 8+ years of experience in embedded systems and edge machine learning development
• Proven track record managing a team of engineers that has shipped a mass production product
• Strong interpersonal skills and the ability to work well in a diverse fast paced customer-focused environment
• Experience deploying CV/ML models on edge devices in real-world applications
• Experience working on products from concept to mass production
• Proficiency in C/C++, Rust, or similar programming languages
• Proficiency in gstreamer, Google MediaPipe, or similar edge AI/Media frameworks
• Experience with data analysis using tools such as Databricks, SQL queries, Tableau
• Bachelors or Masters degree in Computer Science, Computer Engineering or equivalent field

Benefits

• Initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
• Performance-based bonus/variable pay.
• Flexible, employee-led remote model.
• Professional development stipend.
• Comprehensive health plans.
• Parental leave plans.

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