Lead Software Engineer, Data Platform at Viam Robotics · LumiJobs
senior
H1B: no
Viam Robotics Lead Software Engineer to manage and develop the Data/ML team building data pipelines and ML infrastructure for robotics platform. Responsible for architecture, team leadership, and cross-team collaboration.
Responsibilities
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 infrastructure that turns that data into models: training workflows, labeling pipelines, and inference in both cloud and at the edge.
The team works in Go and Python with a Svelte frontend, running ML workloads on GKE using TensorFlow, TFLite, and ONNX, with MongoDB Atlas, GCP, and Azure for the data layer. You will report to the VP of Engineering.
Lead Engineers at Viam own problems from product design through production and play an active role in shaping how the platform evolves.
Lead and develop a team of 5+ engineers: set direction, run planning, ship reliably, and grow the team through coaching, feedback, and performance conversations
Write code and ship features alongside your team across the full stack, from backend infrastructure through UI
Own the architecture of the data pipeline end to end, from device to cloud, including storage, querying, and the APIs that power the rest of the platform
Drive the reliability and performance of ML training and inference infrastructure, from custom training workflows to the services that power auto-labeling and model evaluation
Have opinions on what gets built and how users experience it, and bring those into product decisions early
Own cross-team problems through to resolution, working closely with Computer Vision, Fleet Management, Mobile, and Solutions Engineering
We are looking for an experienced engineering manager who remains deeply technical, can develop engineers, and is comfortable setting direction while staying close to the code. Ideally you have:
Qualification
Experience building and scaling backend
Required
Experience leading engineering teams through hiring, coaching, performance management, and career development
Experience building and scaling backend, platform, or infrastructure systems in production