Manager, Firmware Engineering

Samsara

. Lead a team of approximately five firmware and ML engineers .

Posted 11/6/2026full-timeRemote • United StatesSeniorLead💰 $154,700 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading firmware and machine learning engineering teams, with a strong focus on embedded systems and edge AI development. Proven ability to mentor engineers, set architectural standards, and drive product development from concept to mass production.

Highest-signal resume keywords

Technical Management ExperienceEmbedded Systems DevelopmentEdge Machine LearningC/C++ ProgrammingTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Embedded SystemsEdge Machine LearningC/C++RustData AnalysisSQLGStreamerGoogle MediaPipeModel DeploymentProduct Development

Soft Skills

Interpersonal SkillsMentoringAccountabilityContinuous ImprovementCustomer Focus

Tools & Technologies

DatabricksTableau

Industry Keywords

Mass ProductionAI FeaturesTechnical RoadmapsEngineering HealthCustomer Impact

Tech Stack

Tools & technologies

RustSQLTableauC++

About the role

Key responsibilities & impact

Lead a team of approximately five firmware and ML engineers
Provide hands-on technical leadership in designing, implementing, and optimizing high-performance production systems
Set architecture standards for latency, power, memory, and model performance in edge ML and embedded systems
Mentor engineers and guide them through complex technical problems
Partner with Product, Hardware, and Full-stack teams to take AI features from concept through device deployment
Improve products and features used by customers
Shape quarterly technical and product roadmaps with leadership
Balance product ambition with engineering health and make customer-impact tradeoffs
Build a culture of ownership, accountability, continuous improvement, and growth
Scale Samsara's culture as the company grows globally
Hire and develop an inclusive, engaged, high-performing engineering team

Requirements

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 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 Databricks, SQL queries, or Tableau
Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent field

Benefits

Comp & perks

Initial RSU grant with no vesting cliff
Ongoing equity refresh opportunities tied to performance
Performance-based bonus/variable pay
Flexible, employee-led remote model
Professional development stipend
Comprehensive health plans
Parental leave plans
Flexible working model
Equal opportunity employment
Reasonable accommodations throughout the recruiting process