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# Lead Software Engineer, Data Platform

- **Company:** Viam, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $220,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Computer Vision, Microsoft Azure, Cloud Computing, Data Infrastructure, Distributed Systems, Design of User Interfaces, Python (Programming Language), Machine Learning, MongoDB, Svelte, Tensorflow, Software Engineering, Scripting, Google Cloud, Model Validation, Backend, Data Layers, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Front End Software Development, Multiplatform, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-data-platform-new-york-ny--f3b7efa4-adeb-4e23-8634-1c0fecf06cb4

## About the Role

Software Engineering, Robotics, Automation, MongoDB, Problem Solving Skills, Engineering Management, Architectural Services, Cloud Computing, Multiplatform/Cross-Platform, Python Programming/Scripting Language, 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:

 * 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
 * Worked on distributed systems, data-intensive systems, streaming pipelines, platform infrastructure, or ML infrastructure

**Experience with robotics or IoT is not required.

## Description

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.

What You'll Own

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