About Nscale
Nscale is the GPU cloud engineered for AI. We provide cost‑effective, high‑performance infrastructure for AI start‑ups and large enterprise customers. Nscale enables AI‑focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
At Nscale, our Software engineers form the backbone of our product offering. We build state‑of‑the‑art AI products allowing our clients to move quickly in an increasingly competitive digital landscape. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.
About The Role
We’re hiring a Principal Software Engineer to lead the technical development of our Fleet Manager platform – the workflow automation system that provisions, tests, and remediates GPU nodes and network switches at scale.
As technical lead, you’ll own the architecture and delivery of foundational Python‑based automation systems that manage the entire lifecycle of our compute infrastructure: device enrolment, burn‑in testing, network configuration, GPU health monitoring, and self‑healing capabilities. You’ll mentor a team of senior engineers, set technical direction, and drive engineering excellence while remaining hands‑on with critical systems.
What you’ll do
- Lead technical architecture and roadmap for Fleet Manager's workflow automation systems
- Own end‑to‑end delivery of device provisioning, validation, testing, and remediation workflows at scale
- Design and build workflow orchestration systems for GPU node and network switch lifecycle management
- Establish engineering standards for reliability, observability, and operational excellence across all Fleet Manager services
- Mentor and raise the bar for a team of senior engineers through design reviews, technical leadership, and hands‑on collaboration
- Drive architecture decisions balancing automation complexity, reliability, and maintainability
- Integrate with infrastructure tooling: DCIMs, NetBox, OpenStack, bare metal APIs (MAAS, Ironic, IPMI)
- Partner with Infrastructure, Platform, and SRE teams to translate operational needs into robust, scalable automation
- Build production‑grade Python systems for hardware lifecycle automation, leveraging AI tools to accelerate delivery
About You
- You have 10+ years software engineering experience building and operating production systems, with proven technical leadership in infrastructure automation or workflow tooling
- Strong Python engineering fundamentals with experience leading complex, multi‑service distributed systems
- You are driven by building distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
- Technical expertise: quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems
- Track record of owning technical roadmaps and delivering large‑scale automation systems from ambiguous requirements to production
- You use AI tools like Claude or Cursor as a core part of your development workflow – as a fundamental multiplier of what you can build
- Deep understanding of operational excellence: SLOs, monitoring, alerting, incident response, and production reliability
- Strong mentorship skills with ability to develop high‑performing engineering teams
- Excellent communication skills to build consensus with stakeholders, both internally and externally
Nice to have
- Experience with workflow orchestration tools like Temporal, Airflow, Prefect, or similar
- Hands‑on experience with infrastructure tooling: DCIMs, NetBox, OpenStack, or ERP systems
- Bare metal provisioning and automation: MAAS, Ironic, IPMI, PXE boot, or network automation
- Experience building hardware lifecycle automation: provisioning, validation, testing, or remediation workflows
- GPU infrastructure experience: health monitoring, burn‑in testing, or cluster management
- HPC and networking: datacenter topology, high‑performance interconnects (InfiniBand, RoCE)
- Deep knowledge of Kubernetes, Infrastructure as Code (Terraform, Pulumi), AWS, and GCP
- Track record of 1+ years leading large‑scale, complex projects or technical teams
- Open‑source contributions in infrastructure automation or cloud‑native tooling
What We Can Offer You
- Highly competitive package (base + equity) with reviews every 12 months.