Senior Software Engineer - Safety Detection Precision

• 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 workflows used for data annotation or customer-facing quality control • Experience partnering closely with AI or ML teams, and familiarity with classifier-based systems or model-driven product workflows • Deep experience in one or more backend-oriented languages commonly used for production systems, such as Go, Java, or similar • Experience designing orchestrated pipelines or workflow-based systems, including technologies such as Temporal or similar frameworks • Experience experimenting, iterating, and learning quickly against data to turn hypotheses into meaningful customer impact • A data-driven mindset, including digging into problems deeply, validating outcomes against reality, and using evidence to guide next steps • A track record of raising the bar for a team by improving systems, contributing to team culture, mentoring others, and helping teammates deliver better outcomes • Curiosity and ambition to challenge existing product and engineering approaches to solving real-world problems

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.