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Senior Inference Engineer

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Senior Inference Engineer in USA

  • Designworks Talent
  • Full time
  • Email
  • Bellevue, WA

Responsibilities

  • Build and operate production-grade model-serving and inference systems for high-throughput, low-latency AI workloads.
  • Optimize inference infrastructure for token throughput, latency, scalability, GPU utilization, memory efficiency, reliability, and cost.
  • Improve the scalability and operational maturity of the inference platform as customer demand grows.
  • Partner with AI training, GPU performance, orchestration, platform engineering, and operations teams to transition models into production serving.
  • Develop monitoring, alerting, and operational practices for reliable inference services.
  • Investigate and resolve performance, reliability, and capacity challenges across inference workloads.
  • Contribute to platform architecture decisions and engineering standards.

Requirements

  • Experience building and operating production machine learning inference or model-serving systems at scale.
  • Strong understanding of latency, throughput, memory utilization, and cost-efficiency trade-offs when serving large AI models.
  • Experience designing reliable distributed systems or production infrastructure.
  • Understanding of GPU-backed AI workloads and inference-system scaling challenges.
  • Strong engineering fundamentals and ability to independently own complex technical problems.
  • Experience with one or more inference-serving frameworks such as vLLM, SGLang, TensorRT-LLM, or Triton Inference Server is preferred.
  • Experience optimizing LLM inference workloads or large-scale AI serving platforms is preferred.
  • Experience operating API-based AI products or high-volume production services is preferred.
  • Experience with GPU scheduling, distributed systems, Kubernetes, or cloud infrastructure platforms is preferred.
  • Familiarity with quantization, batching, caching, or performance tuning is preferred.
  • Experience at a hyperscaler, AI lab, GPU cloud provider, or large-scale ML infrastructure organization is preferred.

Benefits

  • Hybrid role in Bellevue, Washington, with approximately three days per week in the office.
  • Candidates elsewhere in the United States who are open to relocation are encouraged to apply.
  • Medical, dental, and vision insurance for U.S.-based employees.
  • 401(k) plan with company match and paid holidays.
  • Certain roles may receive merit increases, annual bonuses, and long-term incentives based on individual performance.

Designworks Talent

Designworks Talent specializes in the design and delivery of enterprise workforce solutions including strategy, talent acquisition, engagement, and succession planning. We work collaboratively with business leaders and enterprise Talent Acquisition and Human Resources teams to deliver custom work...

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