One platform for the entire robotics lifecycle. Multi-language SDKs, hardware abstracted into simple APIs, and fleet management from first prototype to global scale. Backed by USV.
About the role
We are looking for a hands-on engineering manager to lead our Data/ML team. The role is responsible for developing engineers, driving execution, and making architectural decisions. The Data/ML team owns the infrastructure that moves data from devices to the cloud and makes it usable across the Viam platform. On top of that foundation, the team also owns the ML infrastructure that turns that data into models: training workflows, labeling pipelines, and inference in both cloud and at the edge.
What they're looking for
- Led engineering teams through hiring, coaching, performance management, and career development
- Built and scaled backend, platform, or infrastructure systems in production
- Shipped products across APIs, backend services, and user interfaces
- Made sound architectural decisions and navigated tradeoffs around scale, reliability, and performance
- Influenced product and technical direction through strong judgment and execution
- Drove cross-functional projects from ambiguity to production
More about this role
Founded by Eliot Horowitz, co-founder and former CTO of MongoDB, Viam is a novel robotics engineering platform that lets you configure, control, and manage robots intuitively and quickly. We’re inspiring a generation of engineers to solve complicated automation problems with our uniquely powerful suite of software tools.
We’re a ~100-person company headquartered in New York City.
The Engineering Challenge
Building software for machines introduces challenges that traditional software systems rarely face. Devices operate in real-world environments, networks are unreliable, and software must interact with hardware, sensors, and real-time data. At Viam, engineers build the platform and tools that make those machines programmable, observable, and manageable at scale.
New York City (Hybrid 3+ days per week in office)
We are looking for a hands-on engineering manager to lead our Data/ML team. The role is responsible for developing engineers, driving execution, and making architectural decisions.
The Data/ML team owns the infrastructure that moves data from devices to the cloud and makes it usable across the Viam platform. On top of that foundation, the team also owns the ML...
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