Senior Firmware Engineer - Remote, Edge AI & Safety

Samsara; New York (NY); Remote; USD 155,000 - 260,000; Full time

Benefits offered by this job

Remote work option

Professional development stipend

Health benefits

Parental leave

Job summary

Samsara is seeking an experienced Embedded Software Engineer to lead next-generation safety features and edge processing for our AI-first hardware and fleet products. You will collaborate across hardware, backend, and ML teams to deliver high-performance, low-latency solutions on edge devices.

The role emphasizes mentoring engineers, roadmap planning, and maintaining production systems, with a remote-friendly setup for candidates in the United States.

Qualifications

• 8+ years of embedded software experience.
• Strong programming skills in Golang, C/C++, or Rust.
• Experience with media pipelines and edge devices.
• Proven track record of scalable embedded software architecture.
• Experience delivering complex multi-team projects.
• Desire to mentor engineers and improve team skills.
• Strong written and verbal communication abilities.
• Commitment to rigorous testing and validation practices.

Responsibilities

• Influence engineers on Video-Safety products and guide architectural decisions.
• Maintain production systems and provide operational support.
• Lead roadmap planning with cross-functional peers to define safety software direction.
• Ensure edge AI models run within device constraints.
• Collaborate with Hardware, backend and ML teams to build next-gen devices.
• Mentor engineers and raise technical standards.

Skills

Embedded software

Golang/C/C++/Rust

Media pipelines

Edge devices

Mentoring engineers

Communication skills

Testing & validation

Education

Bachelor's or Master’s degree in CS/CE

Tools

GStreamer

MediaPipe

Databricks

SQL

Tableau

Edge AI

Job description

Samsara is seeking an experienced Embedded Software Engineer to lead next-generation safety features and edge processing for our AI-first hardware and fleet products. You will collaborate across hardware, backend, and ML teams to deliver high-performance, low-latency solutions on edge devices.

The role emphasizes mentoring engineers, roadmap planning, and maintaining production systems, with a remote-friendly setup for candidates in the United States.