San Francisco, California, United States · On-site
$220k–$293k/yr
Senior+$6.8B raised
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centers, software, and applications that power today’s AI stack using sustainable technology sol…
Skills: API design, Platform engineering, Distributed systems, Cloud services, System architecture
San Francisco, California, United States · On-site
$230k–$343k/yr
Senior+$6.8B raised
About the Role (Job Purpose) The Director, HPC Systems Engineering is accountable for the strategy, execution, and organisational effectiveness of Nscale’s HPC systems engineering function. This role operates at organisa…
Skills: HPC systems engineering, Distributed infrastructure, Linux, Slurm, GPU infrastructure
San Francisco, California, United States · On-site
Senior$6.8B raised
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 …
San Francisco, California, United States · On-site
$220k–$267k/yr
Senior+$6.8B raised
About the role We’re seeking a Staff Product Engineer to define the paved roads developers use to adopt, operate, and scale on Nscale, from first API call to production workloads. This is a high-impact IC role for someon…
Skills: Go, TypeScript, React, Terraform, API design
San Francisco, California, United States · On-site
Senior+$6.8B raised
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 …
Skills: Infiniband, RoCE, RDMA, HPC, AI Infrastructure
San Francisco, California, United States · On-site
$220k–$380k/yr
Senior+$6.8B raised
About the role: The AI infrastructure market moves weekly. As the Director of Competitive Insights, you will not just track competitors; you will translate complex market movements—such as new Nvidia allocations, legacy …
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, enabling them to achieve superior results by reducing th…
Skills: Google Workspace Administration, Google Admin Console, Security Governance, Scripting, Google APIs
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 …
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 …
Principal Technical Program Manager - Deployment Scheduling
San Francisco, California, United States · Hybrid
$220k–$300k/yr
Senior+$6.8B raised
Location: Hybrid — regular presence across active deployment sites, with daily coordination alongside onsite Field Leads Travel: Required — frequent site visits to validate the schedule against ground truth About the Rol…
Skills: Technical Program Management, Deployment Scheduling, Stakeholder Management, Vendor Management, Executive Communication
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 …
About the Role We are looking for a Systems Engineer to join our Infrastructure Engineering team. This role is ideal for a recent graduate who is passionate about Python development, automation, and large-scale infrastru…
San Francisco, California, United States · On-site
$100k–$130k/yr
Mid level$6.8B raised
About Nscale Nscale is building the infrastructure platform for the AI era. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers, reducing the complexity of AI develo…
San Francisco, California, United States · On-site
$140k–$240k/yr
Senior$6.8B raised
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 …
Skills: Palantir Foundry, Python, TypeScript, Git, Data Engineering
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 …
San Francisco, California, United States · On-site
$100k–$140k/yr
Mid level$6.8B raised
About Nscale Nscale is the vertically integrated AI cloud engineered for AI. We own and operate the full stack — energy, data centres, GPU superclusters, orchestration, and AI services — delivering high-performance infra…
Skills: Linux CLI, Kubernetes, Networking, Python, Bash
San Francisco, California, United States · Remote OK
$40k–$80k/yr
Mid level$6.8B raised
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 …
San Francisco, California, United States · On-site
Senior+$6.8B raised
About Nscale Nscale is the vertically integrated AI cloud engineered for AI. We own and operate the full stack — energy, data centres, GPU superclusters, orchestration, and AI services — delivering high-performance infra…
Skills: Infrastructure Support, People Management, GPU Infrastructure, Linux Systems Engineering, High-Performance Fabrics
San Francisco, California, United States · On-site
Senior+$6.8B raised
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 …
Skills: Network engineering, Hyperscale data center, AI infrastructure, Leaf-spine architecture, Clos topologies
San Francisco, California, United States · Remote OK
$180k–$277k/yr
Senior+$6.8B raised
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 …
Skills: Data Centre Operations, Infrastructure Management, Facilities Management, Strategic Planning, Team Leadership
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$220k–$293k/yr
Full-time
Medical, Dental, Vision, Flexible paid time off, Parental leave, Retirement plan participation
Posted 5d ago
~40 hrs/week
Responsibilities
The Staff AI Product Engineer will drive technical direction across the AI product domain, setting architectural standards and resolving complex cross-cutting concerns. They will also mentor senior engineers and partner with leadership to align technical strategy with business goals.
Requirements
Candidates must have 8–12 years of software engineering experience with deep expertise in API design, platform engineering, and large-scale distributed systems. A proven track record of setting technical direction and operating production systems at scale is required.
Full job description
About Nscale
Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centers, software, and applications that power today’s AI stack using sustainable technology solutions. 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 a Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do.
About the Role
Nscale is looking for a Staff AI Product Engineer to drive technical direction across the AI product domain. Working across 2–4 teams, you’ll set architectural standards, resolve complex cross-cutting concerns, and create engineering leverage that accelerates the entire product organization.
As a Staff engineer, you define how Nscale’s AI services platform is built — establishing the patterns, APIs, and systems that other engineers rely on to deliver reliably and at speed. Your scope spans the full platform layer: AI service capabilities, API gateway, developer experience, billing, identity, and the extensibility surfaces that enterprise and developer customers build on. Your decisions will have meaningful, lasting impact on platform scalability, developer experience, and product velocity.
Responsibilities
Set technical direction for the AI product platform domain across multiple teams
Drive cross-team architectural decisions: service boundaries, API contracts, data models, and platform standards
Identify and lead systemic improvements — performance, reliability, cost, or developer experience — that create leverage across the organization
Resolve ambiguous, open-ended technical problems where the solution space is genuinely undefined
Coach and grow Senior AI Product Engineers across teams; raise technical capability broadly
Partner with product leadership and engineering managers to align technical strategy with business direction
Evaluate build-vs-buy decisions for key platform capabilities and drive them to clear conclusions
Represent the product engineering domain in cross-functional architecture reviews
Requirements
8–12 years of software engineering experience
Proven ability to set technical direction for a product domain, including cross-team architectural patterns
Deep expertise in API design, platform engineering, and large-scale distributed systems
Experience designing cloud services with clear control plane / data plane separation and cell-based architecture for horizontal scalability and blast-radius isolation
Experience building and operating developer-facing platforms used by large numbers of engineers or customers
Proven ability to define the provisioning contract other teams onboard onto: typed inputs, readiness semantics, published outputs, and declared dependencies between provisioned services
Experience with dependency-ordered composition across services owned by different teams — readiness gating, eventual consistency, and deciding what may be provisioned in parallel
Track record of setting versioning and compatibility policy for customer-facing configuration surfaces, and of sequencing change across the schema, controller, packaging, and deployment layers that must land in order
Sustained hands-on production ownership at scale — has carried on-call for systems they designed and fed that operational experience back into the architecture
Track record of raising stability across a domain: SLO and error-budget policy, incident review that produces systemic fixes, and reliability tracked as a measurable trend rather than per-incident firefighting
Experience making cost a first-class engineering signal: usage attribution, cost-per-unit visibility, and guardrails that keep spend predictable as the platform scales
Strong ability to resolve ambiguous, open-ended technical problems at system scope
Demonstrated ability to influence without formal authority — across teams, disciplines, and seniority levels
Track record of creating durable technical standards and practices adopted across an organization
Preferred
Experience designing SDK and Terraform provider strategies that enable customers to extend and automate the platform
Track record of building extensible platform layers: plugin systems, API versioning strategies, client library design
Experience building AI/ML product platforms: inference APIs, fine-tuning UX, model management, evaluation tooling
Experience building self-service, paved-path onboarding so teams can ship new deployable units without platform-team involvement
Background in GPU cloud or compute platforms serving ML workloads; experience operating platforms with strict SLAs at scale
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
$220,000—$293,333 USD
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Based on 3083 listings with disclosed salaries, most engineering jobs in Seattle, WA pay between $100k–$231k per year. Individual offers vary with seniority, company size, and specialization.
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