Manager, Firmware Engineering

Overview

Lead a team of about 5 firmware and ML engineers who build, optimize and deploy AI models on Samsara's fleet and industrial devices, owning how AI moves from a trained model to reliable firmware in the field.

What you'll do

• Lead a team of about 5 firmware and ML engineers building, optimizing and deploying AI models on Samsara's fleet and industrial devices.
• Provide hands-on technical leadership, 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, and keep improving features customers rely on.
• Work with leadership on quarterly plans that balance product ambition with engineering health.
• Build a culture of ownership, accountability and continuous improvement, with a high bar for execution quality.
• Scale Samsara's culture as the team grows across new offices.
• Hire and develop top talent, and help define what great edge AI engineering looks like at Samsara.

What you'll need

• 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.

Nice to have

• 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 and Tableau.
• Bachelor's or Master's degree in Computer Science, Computer Engineering or equivalent field.

Details

• Remote position open to candidates residing in the US.
• Relocation assistance will not be provided.
• Annual base salary range of $154,700 to $260,000 USD; pay varies by primary work location, city of residence, job-related knowledge, skills and experience.
• Eligible for an initial RSU grant with no vesting cliff and ongoing refresh opportunities, subject to plan terms.