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LeadFull-timeJavaScriptTypeScriptPythonJavaReactGraphQLMicroservicesData ScienceGitGo
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Staff Software Engineer to join Samsara's Connected Asset Maintenance (CAM) team. In this role, you will lead the design and evolution of our predictive maintenance platform, working closely with product, data science/ML, design, and customers to build and scale high-impact capabilities.
Key Responsibilities
- →Define and drive the technical strategy for CAM’s predictive maintenance platform, including architecture for data ingestion, feature engineering, model serving, and customer-facing workflows.
- →Lead the design and implementation of new predictive models and data products, working closely with ML/data partners to move from proof-of-concept to robust, monitored, and continuously improving production systems.
- →Own and evolve large-scale, distributed systems that process high-volume time-series and event data from Samsara devices and third-party sources.
- →Collaborate across the stack (backend, web, and potentially mobile) to deliver end-to-end features—APIs, data models, business logic, and intuitive UI flows.
- →Mentor and multiply other engineers on the team through code reviews, design reviews, technical coaching, and by setting high standards for quality, reliability, and velocity.
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 building data-intensive or ML-backed products.
- ✓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.
- ✓Demonstrated experience leading cross-team or cross-org projects from inception through rollout.
- ✓Strong communication skills and the ability to translate between technical and non-technical stakeholders.
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