
51 - 200 employees
đ€ Artificial Intelligence
đ§ Hardware
âïž SaaS
đ„ Funding within the last year
đ° $300M Series B on 2026-09
Artificial Intelligence âą Hardware âą SaaS
Gimlet Labs is an applied research lab building the next generation of AI systems and infrastructure. They develop a serverless inference platform (Gimlet Cloud) for running agentic and multi-stage AI workloads, and kforge, a system that autonomously generates optimized low-level kernels from PyTorch for heterogeneous hardware (CUDA, ROCm, Metal). Their research covers AI compilers, SLA-aware datacenter scheduling, hybrid edge/cloud partitioning, headless hardware architectures for inference, and cost-aware optimization frameworks for AI workloads. Gimlet focuses on making AI workloads portable, performant, and cost-efficient across diverse hardware and deployment environments.
đ„ 20 hours ago
đ California â Remote
đ” $150k - $235k / year
â° Full Time
đ Senior
âïž Operations
đ» Ghost score 0%
Where this job comes from
Posted on Gimlet Labs's careers page, not through a job board
First seen by Remote Rocketship 20 hours ago
Still open on Gimlet Labs's site. Checked 1 hour ago.

51 - 200 employees
đ€ Artificial Intelligence
đ§ Hardware
âïž SaaS
đ„ Funding within the last year
đ° $300M Series B on 2026-09
Artificial Intelligence âą Hardware âą SaaS
Gimlet Labs is an applied research lab building the next generation of AI systems and infrastructure. They develop a serverless inference platform (Gimlet Cloud) for running agentic and multi-stage AI workloads, and kforge, a system that autonomously generates optimized low-level kernels from PyTorch for heterogeneous hardware (CUDA, ROCm, Metal). Their research covers AI compilers, SLA-aware datacenter scheduling, hybrid edge/cloud partitioning, headless hardware architectures for inference, and cost-aware optimization frameworks for AI workloads. Gimlet focuses on making AI workloads portable, performant, and cost-efficient across diverse hardware and deployment environments.
âą Build the facilities operations model for current and future Gimlet sites, including operating standards, escalation paths, maintenance routines, acceptance criteria, and facility readiness gates âą Translate OEM and engineering requirements for liquid-cooled platforms into practical site operating envelopes for temperature, flow, pressure, water quality, alarms, and heat rejection âą Own monitoring and response for facility-side telemetry, including supply and return water temperatures, delta-T, flow, pressure, leak detection, CDU status, cooling capacity margins, and BMS/DCIM alarms âą Partner with colocation providers, facility vendors, OEMs, Site Managers, Data Center Technicians, Deployment Leads, and TPMs to ensure facilities are ready before new compute capacity is deployed âą Create and maintain MOPs, SOPs, EOPs, maintenance windows, runbooks, inspection routines, and incident response procedures for critical facilities and liquid cooling operations âą Coordinate preventive maintenance, repairs, and vendor response for CDUs, facility water loops, filters, valves, pumps, sensors, leak detection systems, chillers, dry coolers, CRAHs, and related infrastructure âą Lead facility-side root cause analysis for thermal, leak, power, cooling, monitoring, and environmental events, then drive durable corrective actions âą Build reporting that shows facility health, risk, readiness, capacity margin, recurring issues, open repairs, and operational trends across Gimlet sites âą Support Gimlet's production neocloud expansion across new hardware, customers, and data centers
âą Experience in data center facilities operations, critical facilities engineering, MEP operations, commissioning, or facilities maintenance âą Experience operating liquid-cooled, high-density compute infrastructure âą Familiarity with facility water systems, CDUs, heat rejection, leak detection, and water-quality controls âą Experience using BMS, DCIM, EPMS, or similar systems to monitor and respond to facility conditions âą Ability to create and execute operational procedures with strong attention to safety and reliability âą Experience coordinating across site teams, colocation providers, OEMs, and facilities vendors âą Ability to work in active data center environments and support urgent facilities escalations âą Experience supporting GPU, HPC, or rack-scale liquid-cooled infrastructure may be advantageous âą Experience with commissioning, integrated systems testing, site acceptance, or facility turnover may be advantageous âą Familiarity with power distribution, UPS and generator systems, chilled water, dry coolers, CRAH/CRAC systems, or rear-door heat exchangers may be advantageous âą Experience managing colocation obligations, service levels, maintenance windows, and vendor escalations may be advantageous âą Track record of improving facility reliability through monitoring, preventive maintenance, and incident analysis may be advantageous
âą Equity âą Work-from-home/remote work arrangement
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