Staff Software Engineer - CAM

Samsara

Remote

Full Time

Posted March 30, 2026

$162k - $290k

Not Specified

Remote

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Job Description

The role involves leading the design and development of a predictive maintenance platform using IoT and machine learning technologies to improve asset reliability and operational efficiency. The engineer will work on large-scale distributed systems, collaborate across teams, and influence technical strategy to deliver impactful AI-driven solutions for physical operations.

Key Responsibilities

Define and drive the technical strategy for the predictive maintenance platform, including architecture for data ingestion, feature engineering, model serving, and customer workflows.
Lead the design and implementation of predictive models and data products, ensuring their transition from proof-of-concept to robust production systems.
Own and evolve large-scale, distributed systems processing high-volume time-series and event data for reliability, performance, and cost efficiency.
Collaborate across backend, web, and mobile teams to deliver end-to-end features that integrate predictive insights into maintenance workflows.
Partner with product, design, and customer teams to define roadmaps, translate business problems into technical projects, and measure impact.

Requirements

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
8 years of experience in software design and development, including building and operating production systems at scale.
3 years of experience building data-intensive or ML-backed products, such as forecasting systems, anomaly detection, recommendation systems, or other high-complexity predictive models in domains like fintech, health, reliability, or similar.
Strong programming fundamentals and deep proficiency in Python for backend and data ML-related services.
Experience designing and operating distributed systems or large-scale microservices, including event-driven architectures, time-series storage, streaming or batch data pipelines.
Demonstrated experience leading cross-team or cross-organization projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable business impact.
Strong communication skills and the ability to translate between technical and non-technical stakeholders, especially when discussing trade-offs around reliability, performance, and model accuracy.
Proven ability to sit with the customer to deeply understand operational pain points, translating vague real-world maintenance challenges into high-impact technical requirements and intuitive AI-driven products.