Senior Machine Learning Engineer - Edge AI

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, Equipment Monitoring, and Site Visibility. 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.

About the role:

Samsara is looking for an experienced Machine Learning Engineer for our Machine Learning Engineering team. Our Machine Learning team is responsible for leading the teams that build and ship Samsara’s AI features, and the infrastructure that supports them. This includes computer vision, large language models, and multimodal machine learning on edge devices and in the cloud to support our rapidly growing footprint of customers. This organization is building the ML foundation to stay ahead of the needs of our expanding customer base and platform. 

This is a remote position open to candidates based in the United States. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Develop and deploy AI models on edge devices by working with petabyte-scale data from Samsara’s camera and sensor devices.
• Optimize ML models for real-time inference on edge devices by implementing quantization, sparsification, pruning, and model distillation techniques.
• Collaborate with firmware and hardware teams to integrate ML models into resource-constrained environments, ensuring efficient execution.
• Improve edge AI performance by profiling and optimizing latency, memory usage, and energy efficiency across different hardware architectures (CPU, GPU, DSP, NPU).
• Stay up to date with the latest research in computer vision, deep learning, and embedded AI, applying relevant advancements to Samsara’s products.
• Work closely with Product Managers to translate customer requirements into scalable and efficient ML solutions for real-time video analytics and sensor processing.
• Debug and troubleshoot edge AI deployments, addressing performance bottlenecks, thermal constraints, and reliability issues in production environments.
• Champion Samsara’s cultural principles, fostering a collaborative and growth-oriented team environment.
• 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

Minimum requirements for the role:

• BS or MS in Computer Science, Electrical Engineering, or a related field with a focus on ML or embedded systems.
• 5+ years of experience in embedded machine learning or a similar role.
• 4+ years of experience in deploying machine learning models in embedded systems.
• Proficiency in embedded systems programming, including low-level optimization for inference workloads.
• Strong coding skills in C++, Golang, or Python, with experience optimizing ML models fo