<div class="content-intro">Who we are 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 at scale. Working 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.</div>About the role: We’re looking for a motivated Senior Machine Learning Engineer I to join our Safety In-Vehicle Experience team. Samsara’s In-Vehicle Experience team is shaping how millions of drivers interact with Samsara on the road. From real-time safety alerts and AI-driven insights to intuitive in-cab experiences, our work directly improves driver safety, engagement, and trust. This role calls for an experienced Edge AI engineer passionate about developing and optimizing ML models for highly constrained embedded environments. You will bridge the gap between research and production by deploying efficient, reliable, and scalable AI models that power the next generation of Samsara’s in-vehicle intelligence. This is a remote position open to candidates residing in the US. You should apply if: <ul> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> </ul> <h4>In this role, you will: </h4> <ul> <li>Design, optimize, and deploy computer vision and multimodal ML models that run efficiently on constrained edge platforms powering Samsara’s in-vehicle camera systems.</li> <li>Apply advanced model optimization techniques—such as quantization, pruning, and distillation—to achieve real-time inference under strict CPU, memory, and thermal constraints.</li> <li>Partner with ML research and product teams to translate new AI detections into deployable, maintainable edge models.</li> <li>Collaborate with firmware, ML research, and hardware teams to productize our ML runtime pipeline, bringing scalable, reliable, and testable on-device inference to production.</li> <li>Develop performance benchmarking, profiling, and validation frameworks for edge-deployed models to ensure robustness across millions of deployed devices.</li> <li>Drive continuous improvement of our edge ML toolchain and advocate for best practices in model optimization, inference reliability, and deployment efficiency.</li> <li>Mentor peers on efficient inference design and collaborate cross-functionally to accelerate feature delivery for safety and driver experience programs.</li> <li style="font-weight: 400;">Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.</li> </ul> Minimum requirements for the role: <ul> <li>5+ years of experience developing and deploying deep learning models for edge, embedded, or real-time systems.</li> <li>Strong background in computer vision or multimodal ML (e.g., 2D/3D CNNs, Transformers) using industry-standard deep learning frameworks.</li> <li>Proficiency in Python and C++, with hands-on experience optimizing inference runtimes and applying model optimization techniques for edge deployment.</li> <li>Deep understanding of performance tuning, including compiler- or DSP-level optimizations, runtime profiling, latency analysis, and memory management on constrained hardware.</li> <li>Familiarity with middleware or streaming frameworks used in real-time perception pipelines.</li> <li>Excellent cross-functional communication and collaboration skills, especially across ML, firmware, and product domains.</li> </ul> An ideal candidate also has: <ul> <li>Experience bringing ML infrastructure or runtime systems from prototype to production at scale.</li> <li>Background in multimodal ML (e.g., audio + vision fusion) or event-based detection systems.</li> <li>Experience validating AI models across large, diverse fleets of deployed devices in real-world environments.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">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.</div><div class="title">Annual Base Salary</div><div class="pay-range">$205,700—$242,000 USD</div></div></div><div class="content-conclusion">Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why <a href="https://www.samsara.com/company/careers/benefits">our rewards</a> 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. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email <a href="mailto:accessibleinterviewing@samsara.com">accessibleinterviewing@samsara.com</a> or <a href="https://forms.gle/DrM6DFQUiSgfPtCVA">click here</a> if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use <a href="https://hiretofu.com/privacyPolicy">Tofu</a>, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s <a href="https://www.samsara.com/legal/candidate-privacy-notice">Candidate Privacy Notice</a> for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our <a href="https://samsara.com/blog/avoiding-fake-job-offers">blog post here</a>.</div>

Senior Machine Learning Engineer - Edge AI

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