Samsara has 33 active AI-related job listings, with a significant focus on agents, which accounts for 64% of these roles. Engineering is the primary function hiring for these positions, predominantly in the United States. The company is actively seeking candidates with experience in agent orchestration, model serving, and LLM observability. Over the last 30 days, Samsara posted 13 new AI roles, representing a 18% increase compared to the previous 30-day period.
Currently tracking 24 active AI roles, down 41% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $102k–$319k (avg $208k).
Samsara currently has 39 active AI-related roles in our index. The most common open titles are: Staff Software Engineer (3), Lead AI Engineer- GTM Systems (2), Senior Data Engineer (2), Senior Software Engineer I - Agent Foundations (2), Senior Software Engineer II (2). Most positions are in Engineering and Product.
Samsara's active AI hiring is concentrated in: agents (62%), application (15%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Samsara is hiring AI talent in: United States (34 roles), United Kingdom (2 roles), Poland (1 role), Canada (1 role).
Job postings at Samsara most frequently mention: Software Engineering, Python, Production ML Systems, System Design, Machine Learning.
In the past 30 days, Samsara has posted 15 new AI-related roles. That is a +67% change versus the prior 30 days (9 → 15).
| Title | Stage | AI score |
|---|---|---|
| Staff ML Engineer - ML Infrastructure Staff ML Engineer focused on building and operating an end-to-end ML platform for industrial AI applications, covering training, experimentation, inference, and edge deployment. The role involves significant infrastructure ownership, reliability, and technical leadership. | ServeData | 8 |
| Staff Machine Learning Engineer - Edge AI Staff Machine Learning Engineer focused on designing and implementing AI product initiatives on Edge devices, optimizing ML models for edge compute constraints, and working with large-scale sensor, diagnostic, video, and text data for industrial operations customers. | ServePost-train |
| 8 |
| Staff Machine Learning Engineer - Edge AI Staff Machine Learning Engineer focused on designing and implementing AI products on Edge devices, optimizing ML models for edge compute constraints, and working with large-scale sensor, diagnostic, video, and text data for industrial operations. The role involves both tactical solutions and strategic research, with a strong emphasis on production code delivery and cross-functional collaboration. | ServePost-train | 8 |
| Staff ML Engineer - ML Infrastructure Staff ML Engineer focused on building and operating an end-to-end ML platform for industrial AI applications, covering training, experimentation, inference (cloud and edge), and deployment. The role emphasizes platform ownership, scalability, reliability, and enabling product teams to ship ML-powered features. | ServeData | 7 |