Remote Firmware Engineering Manager, Edge AI

Samsara; Jersey City (NJ); Remote; USD 155,000 - 260,000; Full time

Benefits offered by this job

RSU grant with no vesting cliff

Remote-friendly work model

Development stipend

Job summary

Samsara is seeking an Engineering Manager to lead a team of firmware and ML engineers, driving edge AI strategies and hardware-in-the-loop development for high-impact safety features. You will mentor engineers, shape the roadmap, and collaborate across Product, Hardware, and Full-Stack teams to deliver production-ready edge AI capabilities.

The role offers a remote-friendly model for candidates in the US with a competitive base salary and equity incentives, plus growth opportunities in a public

Qualifications

• 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.

Responsibilities

• Lead a team of ~5 firmware and ML engineers.
• Provide hands-on technical leadership.
• Set the technical bar for edge ML and embedded systems.
• Turn new AI capabilities into shipped products.
• Shape the roadmap.
• Build a team people want to join and stay on.
• Scale Samsara's culture as we grow globally.
• Hire and develop top talent.

Skills

Tech management

Embedded systems

Edge ML

Team leadership

Edge AI deployment

Education

Bachelors/Masters in CS/CE

Tools

C/C++

gstreamer

MediaPipe

Databricks

SQL

Tableau

Job description

Samsara is seeking an Engineering Manager to lead a team of firmware and ML engineers, driving edge AI strategies and hardware-in-the-loop development for high-impact safety features. You will mentor engineers, shape the roadmap, and collaborate across Product, Hardware, and Full-Stack teams to deliver production-ready edge AI capabilities.

The role offers a remote-friendly model for candidates in the US with a competitive base salary and equity incentives, plus growth opportunities in a public