Manager, Firmware Engineering

United States Digital Space LLC; United States; Remote; USD 180,000 - 230,000; Full time

Job summary

Samsara is seeking an Engineering Manager to lead a small team of firmware and ML engineers, driving edge AI deployments across our fleet and industrial devices. You will set technical direction for latency, power, memory and model performance, mentor engineers, and collaborate with Product, Hardware, and Full-stack teams to ship features from concept to field deployment.

You will also foster a culture of ownership and continuous improvement, ensuring high-quality hardware programs and scalable

Qualifications

• 3+ years of hands-on technical management experience.

Responsibilities

• Lead a team of firmware and ML engineers.
• Provide hands-on technical leadership.
• Set the technical bar for edge ML and embedded systems.
• Turn new AI capabilities into shipped products.
• Shape the roadmap and balance engineering health with product ambition.
• Hire and develop top talent and build a high-performing team.
• Scale culture and partnerships across global offices.

Skills

Technical leadership

Firmware

Machine learning

Embedded systems

Edge AI

Team management

Job description

Who we are

the company (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 the company, 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 the company 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.

About the role:

the company's AI has helped prevent accidents that would have harmed an estimated 380,000 people per year. Every model we ship runs in the real world, on real roads, protecting real drivers.

Every the company dash cam, gateway, and industrial sensor runs AI at the edge. These models detect distracted driving, prevent collisions, and keep workers safe, all in real time on constrained hardware. As Engineering Manager, you'll own how AI moves from a trained model to firmware running reliably on devices in the field across the company's customer fleet.

You will drive the company’s edge AI strategy while mentoring engineers and delivering high-impact solutions. You will oversee the deployment of next-generation intelligent safety features and video processing by integrating high-performance camera systems and real-time edge computing into the company’s fleet and industrial products. In addition, you will establish the technical strategy, cross-functional relationships, and operational cadence required to launch low-latency, high-quality hardware programs at scale.

This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role.

Scale: Millions of AI dash cams, 100B+ miles/year (~99% of U.S. roads), 25T+ data points.

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 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: the company 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 the company 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:

• Lead a team of ~5 firmware and ML engineers. Your team builds, optimizes, and deploys AI models on the company's fleet and industrial devices. Your work directly affects whether a driver gets a warning before a collision, not after.

• Provide hands-on technical leadership. Lead from the front technically, contributing directly to the design, implementation, and optimization of high-performance production systems.

• Set the technical bar for edge ML and embedded systems. You'll guide architecture decisions on latency, power, memory, and model performance, and mentor engineers to go deep on problems most teams never touch.

• Turn new AI capabilities into shipped products. You'll partner with Product, Hardware, and Full-stack teams to take features from concept to deployment on devices. You'll also keep improving the ones customers rely on every day.

• Shape the roadmap. You'll work with leadership on quarterly plans that balance product ambition with engineering health, and make the tradeoffs that deliver the most customer impact.

• Build a team people want to join and stay on. You'll create a culture of ownership, accountability, and continuous improvement, with a high bar for execution quality and room for people to grow.

• Scale the company's culture as we grow globally. You'll champion and role model our principles as the team expands across new offices: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.

• Hire and develop top talent. You'll grow an inclusive, engaged, high-performing team, and help define what great edge AI engineering looks like at the company.

Minimum requirements for the role:

• 3+ years of hands-on execution-oriented technical management experience.