Manager, Firmware Engineering
US · SF Bay Area · USD 154,700-260,000 / year · 3+ years experience · Remote · Posted Sep 29, 2026
At a glance
- Experience
- 3+ years experience
- Workplace
- Remote
- Location
- US · SF Bay Area
- Salary
- USD 154,700-260,000 / year · Base salary
About the role
- As Engineering Manager, you'll own how AI moves from a trained model to firmware running reliably on devices in the field across Samsara's customer fleet.
- You will drive Samsara’s edge AI strategy while mentoring engineers and delivering high-impact solutions.
- You will oversee the 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.
Responsibilities
- Lead a team of ~5 firmware and ML engineers building, optimizing, and deploying AI models on Samsara's fleet and industrial devices.
- Provide hands-on technical leadership by contributing directly to the design, implementation, and optimization of high-performance production systems.
- Set the technical bar for edge ML and embedded systems, guiding architecture decisions on latency, power, memory, and model performance.
- Partner with Product, Hardware, and Full-stack teams to take features from concept to deployment on devices.
- Shape the roadmap by working with leadership on quarterly plans that balance product ambition with engineering health.
- Build a team culture of ownership, accountability, and continuous improvement with a high bar for execution quality.
- Scale Samsara's culture as the team expands across new offices.
- Hire and develop top talent to build an inclusive, engaged, high-performing team.
Requirements
- 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
Preferred qualifications
- 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
- Base salary ranging from $154,700 to $260,000 USD
- Performance-based bonus/variable pay
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health and parental leave plans
Workplace
- This is a remote position open to candidates residing in the US.
Skills
- Embedded Systems
- Edge Machine Learning
- C/C++
- Rust
- Gstreamer
- Google MediaPipe
- Databricks
- SQL
- Tableau
