Senior Software Engineer - Safety Detection Precision

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.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win – together.

In this role, you will: 

• 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

Minimum requirements for the role:

• 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

An ideal candidate also has:

• 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