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Staff Software Engineer - CAM

1 month ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Feature Engineering Go GraphQL IoT JavaScript Microservices MLOps Python React TypeScript
Apply Now
Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 84

Description

  • Define and drive the technical strategy for CAM’s 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, partnering with ML/data teams to move proofs-of-concept into 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.
  • Design and deliver end-to-end features across the stack (APIs, data models, business logic, and UI flows) to surface predictive insights in day-to-day maintenance workflows.
  • Translate ambiguous business and operational problems into clear technical projects and measurable outcomes (e.g., reduced breakdowns, fewer emergency repairs, improved shop throughput).
  • Lead cross-team and cross-org projects from inception through rollout, managing ambiguity, driving alignment, and delivering measurable business impact.
  • Mentor and multiply other engineers through code reviews, design reviews, technical coaching, and by setting high standards for quality, reliability, and velocity.
  • Engage with customers and customer-facing teams to deeply understand operational pain points and validate that solutions address real-world maintenance challenges.

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 (e.g., forecasting systems, anomaly detection, recommendation systems, or other predictive models).
  • 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 and delivering measurable business impact.
  • Strong communication skills with the ability to translate between technical and non-technical stakeholders and discuss trade-offs around reliability, performance, and model accuracy.
  • Proven ability to work directly with customers to translate vague operational maintenance challenges into high-impact technical requirements and intuitive AI-driven products.
  • Preferred: Master’s degree in Computer Science + AI; expertise with time-series data and forecasting techniques; hands-on MLOps practices and tooling (model deployment, monitoring, versioning, experimentation); experience with full-stack technologies (Go, TypeScript/JavaScript, React, GraphQL); background with industrial/fleet/equipment data; and a track record mentoring senior engineers and influencing engineering culture.

Benefits

  • Annual base salary range: $162,400 — $290,000 USD (base pay varies by location, skills, and experience).
  • Total compensation includes base + bonus/variable + restricted stock unit awards (RSUs); eligible new hires may receive RSUs at hire and additional RSU refresh grants may be awarded annually; top performers may receive above-market equity refresh awards.
  • Competitive total compensation package for full-time employees.
  • Employee-led remote and flexible working model (this role is remote and open to candidates residing in the US; offices are available for those who prefer in-person work).
  • Health benefits for full-time employees.
  • Inclusive workplace with reasonable accommodations during recruiting and employment.

Interested in this position?

Apply directly on the company website

Apply Now

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