Note: The job is a remote job and is open to candidates in USA. Samsara is the pioneer of the Connected Operations Cloud, helping organizations use IoT data to improve the safety, efficiency, and sustainability of physical operations. The Engineering Manager will lead firmware and ML engineers, define edge AI and embedded-systems strategy, and oversee the deployment of reliable, high-performance AI solutions on Samsara devices.
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
- Ongoing refresh opportunities tied to performance, subject to plan terms and conditions
- Performance-based bonus/variable pay
- Equity for eligible roles
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health plans
- Parental leave plans
Company Overview