Level

NscalePosted 6d ago

L4

Director, Deployment Engineering — Systems Engineering

Director, Deployment Engineering — Systems Engineering at Nscale scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.

AMERexecutive$240k-$353k

AI in this role

Lead systems engineering and deployment teams responsible for validating, operating, and scaling core AI infrastructure and GPU platforms.

kuberneteslinux
systems-engineeringgpu-validationinfrastructurecompute-operationsleadership

The role

Nscale is looking for a Director of Deployment Engineering to lead the systems engineering function responsible for deploying, validating, and operating the core compute platforms that underpin our AI infrastructure.

You will lead a high-performing engineering team across systems, compute operations, and deployment validation. This role combines technical leadership with operational execution: defining the standards, tooling, and processes that ensure infrastructure is reliable, scalable, production-ready, and delivered at pace.

What you’ll do

  • Lead and scale the systems engineering team responsible for core platform systems, deployment readiness, and compute operations.

  • Define and deliver multi-quarter systems engineering initiatives that improve deployment velocity, platform reliability, validation quality, and operational performance.

  • Establish systems validation standards for servers, GPUs, networking, storage, and supporting infrastructure before production acceptance.

  • Lead GPU burn-in and validation testing at scale, including thermal, power, stress, and performance qualification.

  • Partner with infrastructure, network engineering, deployment, product, and operations leaders to balance long-term platform architecture with immediate business needs.

  • Turn ambiguous, high-impact technical challenges into clear plans, priorities, milestones, and accountable execution.

  • Drive alignment across interdependent teams working on compute platforms, internal infrastructure, developer tooling, and operational systems.

  • Raise the bar for engineering quality, automation, observability, documentation, and operational excellence.

  • Build scalable approaches for systems monitoring, telemetry, incident learning, and continuous platform improvement.

  • Travel up to 50% to support deployments, site readiness, vendor collaboration, and operational execution.

What you’ll bring

  • A bachelor’s degree in Computer Science, Engineering, or a related technical field.

  • 10+ years of systems engineering, compute operations, infrastructure, or engineering-management experience.

  • Experience in a large cloud provider, hyperscale data center, or similarly complex infrastructure environment.

  • Experience leading systems or compute operations teams in a high-availability production environment.

  • Strong knowledge of Linux/Unix systems administration, OS-level tuning, server architecture, and GPU hardware.

  • Experience with virtualization, containerization, and distributed systems, including Kubernetes and Docker.

  • Experience with infrastructure-as-code and configuration-management tools such as Ansible, Terraform, Puppet, or Chef.

  • Strong scripting, automation, and data center systems-design experience.

  • Familiarity with system architecture, data synchronization, fault tolerance, state management, and distributed-system reliability.

  • Experience with enterprise storage, networking, compute, monitoring, observability, or telemetry platforms.

  • Excellent judgment, organizational skills, and written and verbal communication.

  • The ability to influence technical direction, engineering priorities, and cross-functional decisions.

What success looks like

  • Nscale’s compute platforms are consistently deployed, validated, and accepted into production at a high standard.

  • Systems engineering has clear technical standards, automation, and operational ownership across the deployment lifecycle.

  • Platform reliability, validation quality, and delivery velocity improve measurably over time.

  • Engineering, operations, and deployment teams make faster decisions with clearer data and accountability.

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—$353,000 USD

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

Nscale does not accept unsolicited candidate submissions from recruitment agencies.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Systems EngineeringGpu ValidationInfrastructureCompute OperationsLeadershipKubernetesLinux

Questions you could be asked

  1. Tell me about a project where systems engineering was part of your work. What did you do?
  2. Tell me about a project where gpu validation was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where compute operations was part of your work. What did you do?
  5. Tell me about a project where leadership was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Systems Engineering, Gpu Validation, Infrastructure, Compute Operations, and Leadership. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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