Inference Engineer at engineering and architecture firm

Department: Engineering

Setup: Hybrid
Location: Bellevue, Washington
Type: Full-time
Level: senior
Posted: Jul 21, 2026

Description

The company is hiring Senior and Staff Inference Engineers to build and operate production-grade model-serving and inference systems for high-throughput, low-latency AI workloads. The role focuses on GPU utilization, latency and throughput optimization, scalability, reliability, monitoring, and collaboration with AI training, GPU performance, orchestration, platform engineering, and operations teams. The position is hybrid in Bellevue, Washington, with approximately three days per week in the office, and requires U.S. work authorization; visa sponsorship is not available.

Required Skills

Model serving
GPU utilization
Distributed systems
Kubernetes
Quantization
Latency optimization

Additional Information

Required Previous Experiences: Experience building and operating production machine learning inference or model-serving systems at scale
Experience designing reliable distributed systems or production infrastructure
Understanding of GPU-backed AI workloads and scaling inference systems
Preferred Qualifications: Experience with modern inference-serving frameworks such as vLLM, SGLang, TensorRT-LLM, or Triton Inference Server
Experience optimizing LLM inference workloads or large-scale AI serving platforms
Background operating API-based AI products or high-volume production services
Experience with GPU scheduling, distributed systems, Kubernetes, or cloud infrastructure platforms
Familiarity with model optimization techniques such as quantization, batching, caching, or performance tuning
Experience working at a hyperscaler, AI lab, GPU cloud provider, or large-scale ML infrastructure organization