Senior Software Engineer - Safety Detection Precision

Overview

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations king at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring.

As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

As a Senior Software Engineer on the Safety Detection Precision team, you’ll help close the gap between AI detection of safety risk on the road and customers’ expectation of a coachable moment. You’ll build the core systems that review detections, intelligently identify ambiguous cases, and automate triage on either side — both surfacing real-world data that can improve the next generation of detection models and ensuring today’s detections translate into meaningful real-world risk reduction.

This role is a strong fit for an engineer who enjoys shaping ambiguous, high-impact systems end-to-end and wants to directly influence customer trust and value in Samsara’s Safety products.

• Build and evolve the core systems that review safety detections and determine which events are surfaced to customers
• Improve detection precision by developing intelligent approaches to identifying ambiguous cases, deflecting low-value reviews, and automating triage where confidence is high
• Work at the intersection of backend systems, data, and AI-driven decisioning to improve both customer-facing product quality and internal review efficiency
• Partner closely with product, design, AI and ML infra to turn real-world review outcomes into better model feedback loops and higher-quality safety detections over time
• Own complex projects end-to-end, from shaping the approach and technical design through rollout, measurement, and iteration in production
• Use modern AI-assisted engineering workflows pragmatically to accelerate prototyping, implementation, debugging, and iteration while maintaining strong engineering judgment, reliability, and code quality
• Raise the bar for quality, operability, and engineering clarity across a critical part of Samsara’s Safety platform

• 4+ years of software development experience, primarily in backend or distributed systems
• Experience on a product engineering team shipping systems that solve real customer problems
• Demonstrable focus on customer experience, with the ability to connect technical decisions to customer value
• AI-first engineer who consistently uses modern AI coding and reasoning tools to improve engineering efficiency, accelerate delivery, and raise the quality of codebases, while applying strong judgment to validate outputs and maintain a high bar for correctness, maintainability, and reliability
• Strong programming and software engineering fundamentals, with experience building production systems in at least one modern programming language
• Experience designing and building large-scale, high-throughput systems
• Experience operating in a data led and data backed environment. Strong cross-team and cross-functional communication, collaboration, and problem-solving skills, with the ability to lead technical discussions clearly and constructively

• Deep experience developing AI-native engineering workflows across design, implementation, debugging, testing, and automation, and raising the bar for how a team uses AI effectively
• Experience operating or building real-world review systems, whether human review, AI review, or adjacent…