Staff Software Engineer - CAM
SamsaraRemote
Internship
Posted February 11, 2026
$162k - $290k
Climate Technology
Remote
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Job Description
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams.
Key Responsibilities
- Connected Asset Maintenance (CAM) is one of Samsara’s fastest-growing software bets: a brand-new product area focused on transforming asset and fleet maintenance from reactive, paper-based workflows into AI-driven, predictive maintenance programs . We’re building a modern platform that uses rich IoT and telematics data, intuitive interfaces, and centralized workflows to help customers reduce downtime, extend asset life, and run more efficient operations.
- We are seeking a Staff Software Engineer to serve as a technical anchor for CAM. In this role, you will lead the design and evolution of our predictive maintenance platform, partnering closely with product, data science/ML, design, and customers to build and scale high-impact capabilities for our customers. You’ll be responsible for shaping the architecture for ML-powered features — from time-series modeling and data pipelines to APIs and customer-facing workflows — and for raising the engineering bar across the team.
- This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role.
- 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, ensuring reliability, performance, and cost efficiency as we grow.
- Collaborate across the stack (backend, web, and potentially mobile) to deliver end-to-end features—APIs, data models, business logic, and intuitive UI flows—that bring predictive insights into day-to-day maintenance workflows.
- Partner with product, design, and customer-facing teams to define the roadmap, translate ambiguous business problems into clear technical projects, and measure the impact of what we ship (e.g., reduced breakdowns, fewer emergency repairs, improved shop throughput).
- 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, such as forecasting systems, anomaly detection, recommendation systems, or other high-complexity predictive models (e.g., in fintech, health, reliability, or similar domains).
- 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 (e.g., event-driven architectures, time-series storage, streaming or batch data pipelines).
- Demonstrated experience leading cross-team or cross-org 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.
- Master’s degree in Computer Science + Artificial Intelligence.
- Expertise with time-series data and forecasting techniques , including feature engineering, evaluation, and productionization for predictive maintenance or similar use cases.
- Hands-on experience with MLOps practices and tooling (e.g., model deployment, monitoring, versioning, experimentation platforms) in partnership with data/ML teams.
- Experience with full-stack development using technologies such as Go, TypeScript/JavaScript, React, GraphQL, or similar modern stacks in large-scale SaaS applications.
- Background working with industrial, fleet, or equipment data (e.g., telematics, fault codes, work orders, inspections) and an interest in learning the maintenance domain in depth.
- Proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team.
- The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
- Annual Base Salary
- $162,400
- —
- $290,000 USD
Benefits & Perks
- At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
- Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
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