Senior Software Engineer at Nidus
Jackandjillai โ United States ยท Posted ~22 hours ago
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Job Title
Senior Software Engineer
Salary
Not Disclosed
Company Description
Nidus is a well-backed seed-stage startup building an AI-first, software-defined manufacturing platform to revitalize American industrial production.
Founded by experts from defense tech and AI, Nidus combines robotics, ML infrastructure, and cloud systems to turn complex assembly work into reliable, software-driven telemetry and throughput.
Job Description
As a Senior Software Engineer at Nidus, you will architect the backend systems and data pipelines powering the factory of the future.
You'll build hybrid cloud and on-prem services that maintain uptime in high-stakes industrial environments.
This is a hands-on, founding-team role driving the software backbone for autonomous, localized manufacturing.
Location
New York City, USA
Why this role is remarkable
Join a high-ownership founding team in NYC, working directly with founders to solve the structural challenges of US manufacturing.Work in a unique environment where world-class robotics researchers, mechanical engineers, and defense-tech software veterans collaborate under one roof.Build mission-critical systems where reliability is paramount, applying industrial-grade discipline to petabyte-scale visual data pipelines and ML infrastructure.
What You Will Do
Design and implement multi-compute architectures spanning embedded devices, on-prem factory services, and cloud-based backend systems.Build petabyte-scale visual data pipelines for ingesting, indexing, and preparing manufacturing data for machine learning workflows.Develop resilient infrastructure-as-code and observability tools that ensure high uptime and performance in noisy industrial production environments.
The ideal candidate
Has 3โ6 years of experience building and shipping production-grade software with a focus on backend systems, infrastructure, or data at scale.Possesses deep expertise in hybrid cloud/edge environments and is comfortable managing complex systems that handle terabytes to petabytes of data.Thrives in an in-person, fast-iterating startup culture and is capable of owning technical direction from architecture to end-to-end execution.
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