About Nscale
Nscale is building a vertically integrated GenAI cloud from sustainable data centers to advanced AI infrastructure and enterprise applications. Our culture values open collaboration, ownership, and excellence.
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 12-15+ 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
Strong candidates will 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
The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
Salary Range
$240,000—$400,000 USD
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12-15+ years software engineering experience, strong Python fundamentals, technical leadership in infrastructure automation, experience with AI tools like Claude or Cursor, and deep understanding of operational excellence.
Key Responsibilities
- leading technical architecture
- mentoring senior engineers
- building automation systems
Skills & Tools
Python, Claude, Cursor, Temporal, Airflow, Prefect, NetBox, OpenStack, MAAS, Ironic, IPMI, PXE, Kubernetes, Terraform, Pulumi, AWS, GCP
Job Details
- Category: Software Development
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — North America
- Salary: USD 240,000 – 400,000 / year
- Languages: English
Benefits
- Generous paid time off
- Retirement plan
- Generous parental leave
About Nscale
A vertically integrated GenAI cloud company building sustainable data centers and advanced AI infrastructure. — Industry: Information Technology