Principal Software Engineer - Fleet Management
- Salary
- $240,000 - $400,000
- Level
- Principal
Not stated in the posting: work type, visa.
Open. First seen 6 October 2026.
About the role
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
Nscale's standard text
$240,000—$400,000 USD
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What this role asks for
Particular to this role
GCP · Generative AI · Pulumi · Terraform
Rare in Nscale's other 133 open postings.
Standard for software engineering roles
Python
Common in software engineering postings at any company.
95% of this description is written for the role. The rest is Nscale's standard text, folded away below.
Compared with Nscale's other open jobs.
The team: AI Infra Technology HIRES STEADILY
This role is one of 10 open in AI Infra Technology. 5 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (8 of 10), Terraform (7 of 10), Ansible (6 of 10), Kubernetes (5 of 10), AWS (3 of 10), CI/CD (3 of 10), GCP (3 of 10)
OTHER ROLES ON THIS TEAM
- Principal Solutions Architect posted Oct 9
- Senior Engineer, Storage Services posted Oct 2
- Infrastructure Support Engineer - OpenStack posted Sep 29
- Staff Network Engineer posted Sep 21
- Data Center Solutions Architect posted Sep 15
- Principal Network Engineer posted Aug 26
- Principal Network Platform Lead posted Aug 24
- Staff Software Engineer - Fleet Management posted Aug 7
- Senior Infrastructure Engineer (OpenStack Ironic Specialist) posted Apr 15
From the team and dates on Nscale's own job board.
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