Top Tech Jobs & Startup Jobs in Seattle, WA

Develop and run rigorous benchmarks and profiles for LLM inference workloads to identify bottlenecks and drive targeted performance optimizations across frameworks, runtimes, and GPU hardware. Design experiments (quantization, caching, speculative decoding), validate changes against real traces, partner with platform engineers to productionize improvements, and produce clear technical writeups to guide model-serving, runtime, and hardware decisions.

Lead and grow the engineering team productizing and operating an inference offering. Drive roadmap execution with Product, improve reliability, observability, release and incident processes, integrate platform capabilities, and deliver developer-friendly tooling and application-layer enhancements to scale production ML workloads.

Debug and fix complex kernel and container runtime interactions for a large GPU fleet: investigate kernel crashes, cgroup and namespace edge cases, and scheduler/memory issues; develop and upstream kernel or container-runtime patches; build observability tooling and partner with hardware, platform, and fleet teams during incident response.

Own and evolve a Kubernetes-native test framework that qualifies host images on real hardware. Build test harnesses, extend coverage into HPC, Slurm-on-Kubernetes and firmware/hardware, keep CI fast and reliable at fleet scale, and own results, reporting, and triage. Collaborate with kernel, firmware, imaging, and HPC teams and explore LLM-driven log triage and failure classification.

Design and build Linux-based execution environments for GPU workloads, extending virtualization and runtime technologies. Debug and optimize Linux kernel, hypervisor, GPU drivers, and container runtimes. Develop observability tooling, improve performance and isolation, and collaborate across security, platform, and networking teams to support multi-tenant AI infrastructure.

Own the financial, contractual, and procurement backbone for data center physical security. Manage OPEX/CAPEX budgets, forecasting, variance analysis, vendor contracting (MSA/SOW), procurement standards, RFPs, vendor performance, reporting/OKRs, and Rhythm of Business while partnering with Finance, Procurement, Legal, and security stakeholders to scale operations.

Lead end-to-end data center logistics operations, manage teams, ensure performance, and improve efficiency in logistics and inventory control.

As a Security Production Engineer, you'll ensure security systems' reliability, develop automation, collaborate on performance optimization, and mentor team members.

Lead design, standardization, and transformation of end-to-end global logistics processes and systems. Partner across Logistics, IT, Operations, Finance, and external partners to define future-state processes, shape system requirements (WMS/TMS/ERP/visibility/3PL), drive implementation, and enable adoption. Measure impact via KPIs, govern controls, and reduce risk while improving speed, accuracy, and scalability.

Lead go-to-market and technical strategy for AI developer tooling, winning early customers and building repeatable playbooks. Translate customer MLOps requirements into product feedback, partner with engineering and Weights & Biases, and enable sales/solutions teams to close deals around experiment tracking, model governance, and LLM observability.