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Designworks Talent LLC
Designworks Talent LLC
B2BPersonāla atlasePersonāla tehnoloģijas
Designworks Talent LLC ir personāla atlases un talantu konsultāciju uzņēmums, kas apkalpo strauji augošus jaunuzņēmumus un globālus lieluzņēmumus. Uzņēmums, kas dibināts 2009. gadā, apvieno pieredzējušus personāla atlases speciālistus ar mākslīgā intelekta atbalstītiem rīkiem, lai veicinātu ātrāku un mērķtiecīgāku darbinieku atlasi. Tā darbība ietver pilna servisa kandidātu meklēšanu, uz projektiem balstītu personāla atlasi un elastīgus pēc pieprasījuma pielāgojamus modeļus, kā arī mērogojamu darbā pieņemšanas stratēģiju, personāla atlases operācijas, uzņēmuma līmeņa talantu piesaistes vadību, uz datiem balstītu kandidātu meklēšanu un kandidātu pieredzi. Komandas pieeja ir izstrādāta, lai organizācijām nodrošinātu pielāgojamu atbalstu, mainoties to personāla atlases vajadzībām.
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Vakances uzņēmumā

Staff Inference Engineer - Bellevue Hybrid

Lead the development of production model-serving systems for an AI infrastructure company. Improve GPU utilization, latency, throughput, scalability, and reliability across large-scale AI workloads.

USAmerikas Savienotās ValstisWAVašingtonaHibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuInženieris
KubernetesMākonisSadalītās sistēmas

Apraksts

  • Build and operate production model-serving and inference systems for high-throughput, low-latency AI workloads
  • Optimize inference infrastructure for token throughput, latency, scalability, and cost efficiency across diverse models and workloads
  • Design systems that use GPUs efficiently while delivering consistent performance and reliability
  • Advance inference-platform scalability and operational maturity as customer demand increases
  • Work with AI training, GPU performance, orchestration, and infrastructure teams to move models from development into production
  • Establish monitoring, alerting, and operational practices that support dependable inference services
  • Diagnose and resolve performance, reliability, and capacity issues across inference workloads
  • Shape architecture decisions and engineering standards as the platform develops

Prasības

  • 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 involved in serving large AI models
  • Experience designing reliable distributed systems or production infrastructure
  • Understanding of GPU-backed AI workloads and the challenges of scaling inference systems
  • Strong engineering fundamentals and the ability to independently own complex technical problems
  • Comfort working in a fast-moving environment where systems and processes are built from the ground up
  • Experience with modern inference-serving frameworks such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, or comparable technologies
  • 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 quantization, batching, caching, or performance tuning
  • Experience at a hyperscaler, AI lab, GPU cloud provider, or large-scale ML infrastructure organization
  • U.S. work authorization is required
  • Visa sponsorship is not currently available
  • Willingness to work in a hybrid arrangement in downtown Bellevue, Washington, with at least three days per week in the office once the permanent office is established

Priekšrocības

  • Competitive base pay for the Bellevue market
  • Merit-based increases
  • Annual bonus
  • Long-term incentives
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Company 401(k) match
  • Paid holidays
  • Startup ownership and meaningful technical impact
  • Collaboration with an experienced AI infrastructure team

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USAmerikas Savienotās ValstisNJŅūdžersija
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