Drweng

Drweng

HPC Specialist

Montreal

Sponsorship not specifiedDetected 23 days ago
PythonBashNode.jsDistributed SystemsKubernetesTerraformAnsibleLinuxPrometheusGrafanaDevOpsSite Reliability EngineeringMachine LearningDeep LearningLLMsEmbedded SystemsSystems EngineeringTCP/IPFirewallResearchCommunication

About the role

  • DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.
  • Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets.

Responsibilities

  • Deploy, maintain, and optimize GPU infrastructure for large-scale LLM inference workloads, including provisioning, configuration, and deployment of GPU server fleets.
  • Architect and implement distributed serving solutions for multi-node, multi-GPU model deployments.
  • Manage GPU-enabled Kubernetes clusters for LLM and ML workloads.
  • Implement and optimize storage solutions for model weights and inference caches.
  • Collaborate with ML engineers to profile model performance and implement inference acceleration techniques.
  • Drive reliability improvements through monitoring, alerting, capacity planning, and incident response.

Requirements

  • Bachelor's or Master's degree in Computer Science, Systems Engineering, or related field.
  • 5+ years in DevOps, SRE, or infrastructure engineering roles.
  • Strong experience with GPU infrastructure, model serving frameworks (vLLM, SGLang), and GPU driver management.
  • Experience with infrastructure as code tools (Ansible, Terraform, or similar).
  • Strong understanding of distributed systems, networking protocols (TCP/IP, HTTP/2), and load balancing.
  • Proficiency in Python and Bash scripting for automation.
  • Experience with monitoring and observability tools (Prometheus, Grafana, or similar).
  • We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

Skills

  • Research and evaluate emerging GPU technologies, model serving frameworks, and infrastructure optimizations.
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