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Designworks Talent LLC
Designworks Talent LLC
B2BRecrutareTehnologie HR
Designworks Talent LLC este o firmă de recrutare și consultanță în domeniul talentelor, care deservește startup-uri cu creștere accelerată și întreprinderi globale. Fondată în 2009, compania combină recrutori cu experiență și instrumente bazate pe inteligență artificială pentru a sprijini procese de angajare mai rapide și mai bine direcționate. Activitatea sa acoperă căutări complete de candidați, recrutare bazată pe proiecte și modele flexibile la cerere, alături de strategii de recrutare scalabile, operațiuni de recrutare, coordonarea achiziției de talente la nivel de întreprindere, identificarea candidaților pe baza datelor și experiența candidaților. Abordarea echipei este concepută pentru a oferi organizațiilor un sprijin adaptabil, pe măsură ce nevoile lor de recrutare evoluează.
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Staff AI Training Infrastructure Engineer

Lead the development of distributed GPU training infrastructure for large AI models. Improve reliability, efficiency, fault tolerance, and production training operations at scale.

USStatele Unite ale AmericiiWAWashingtonHibridNormă întreagăLiderLimbă Obligatorie: englezăInginer de infrastructură
CloudKubernetesNode.jsPyTorchRaySisteme distribuite

Descriere

  • Build and scale distributed training infrastructure for large AI models across extensive GPU clusters
  • Design systems that improve training reliability, efficiency, and resource utilization
  • Develop fault-tolerant solutions for checkpointing, recovery, and large-scale training operations
  • Integrate AI models into production training pipelines alongside platform, orchestration, and performance engineering teams
  • Investigate and resolve issues affecting training throughput, stability, reliability, and cost efficiency
  • Create tools and automation that enhance the experience of AI researchers and engineers
  • Define best practices for training infrastructure, operations, and platform reliability
  • Help shape the AI infrastructure platform as an early member of the engineering team

Cerințe

  • Practical experience building and operating distributed training systems or large-scale machine learning infrastructure
  • Experience supporting large AI models, foundation models, post-training workflows, or comparable machine learning systems
  • Strong understanding of reliability, scalability, and efficiency challenges in multi-node GPU training
  • Experience connecting training systems to production machine learning pipelines
  • Advanced programming ability and experience working with complex distributed systems
  • Demonstrated ability to independently lead technically demanding projects
  • Experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, Megatron-LM, Ray, or comparable technologies
  • Experience with supervised fine-tuning, reinforcement learning from human feedback, or other post-training methods
  • Experience operating AI training infrastructure at scale for a hyperscaler, AI research organization, cloud provider, or GPU cloud
  • Background optimizing GPU utilization, training performance, or distributed system reliability
  • Familiarity with Kubernetes, containerized AI workloads, and large-scale infrastructure platforms
  • U.S. work authorization is required
  • Visa sponsorship is not currently available

Beneficii

  • Some roles offer merit increases, annual bonuses, and long-term incentives based on individual performance
  • Medical, dental, and vision insurance for U.S.-based employees
  • 401(k) plan with company matching
  • Paid holidays each calendar year
  • Hybrid work arrangement

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