Top Tech Jobs & Startup Jobs

Serve as the right hand to the Head of Development Engineering, driving high-priority R&D initiatives from scoping through delivery. Coordinate mechanical, electrical, controls, and compute engineering teams; develop first-pass technical analyses; manage vendors, schedules, decisions, and follow-up; and maintain the R&D operating cadence. The role supports technical direction and delivery of power, cooling, and data center infrastructure projects at scale.

Lead the creation and operation of Fluidstack’s insider risk and counterintelligence program. Responsibilities include developing the operating model, roadmap, policies, and technical controls; partnering with detection engineering, identity, IT, infrastructure, and physical security teams; managing insider risk incidents with Legal and HR; and driving stakeholder adoption across the organization.

Own sourcing and purchasing for critical equipment supporting a 10GW compute infrastructure build. Lock vendor capacity and lead times, monitor production commitments from purchase order through delivery, and resolve schedule risks. Build and lead the category management team, establish sourcing processes, and partner with design, construction, and manufacturing teams to ensure equipment arrives on schedule.

Owns the structural steel category for modular manufacturing and construction. Responsibilities include sourcing regional fabrication capacity, negotiating material and fabrication pricing, managing commodity exposure through indexing or hedging, qualifying fabricators for quality and capacity, and balancing production loads across suppliers. The role requires expertise in structural steel procurement, fabrication economics, supplier capacity assessment, and industrial-scale sourcing.

Inspect inbound freight and returned hardware, documenting condition, shortages, damage, serials, and disposition. Manage carrier and insurance claims from evidence collection through resolution. Evaluate carriers, 3PLs, and warehouse operators using delivery and damage metrics, drive corrective actions, and establish standardized receiving, packaging, handling, and defect-reporting procedures across sites.

Build production software that automates hiring, financial forecasting, capital deployment, contract analysis, accounting, and operational workflows. Partner directly with finance, legal, treasury, recruiting, and delivery experts to convert real-world processes into structured data, generated work, and integrated systems. Develop AI-powered features using LLM APIs, MCP servers, and agentic frameworks, while independently identifying problems, designing solutions, and delivering quickly under deadline.

Build production software and AI-powered workflows for hiring, finance, capital planning, contracts, accounting, and business operations. Work directly with finance, treasury, legal, recruiting, and accounting experts to convert processes into structured data, automated systems, and generated work. Develop LLM-based document extraction, integrations, forecasting tools, capital pipelines, recruiting systems, and continuous-close workflows while independently identifying problems and rapidly shipping extensible solutions.

Build fleet health, repair and RMA workflows, hardware qualification systems, facility maintenance and asset-management platforms, and structured operational procedures for large AI compute deployments. The role involves production software development, LLM and agent integrations, Kubernetes and bare-metal operations, hardware validation, incident reduction, and forward-deployed collaboration with production engineers and facility operators.

Build software systems for large-scale AI compute operations, including fleet health monitoring, repair and RMA workflows, hardware qualification, facility maintenance, asset management, runbooks, and operational dashboards. The role involves shipping production software, integrating AI agents and LLM APIs, working with production engineers and facility operators, participating in on-call operations, and improving reliability across Kubernetes, bare-metal, and GPU infrastructure.

Build software for AI compute infrastructure, including fleet health monitoring, telemetry, incident correlation, repair and RMA workflows, hardware qualification, facility asset management, maintenance systems, and operational dashboards. Develop production features using Go, Python, or TypeScript and AI tooling. Work closely with production engineers and facility operators, participate in on-call rotations, and automate operational procedures across Kubernetes, bare metal, and large-scale GPU environments.