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Spécialiste CHP

DRW Montreal
CompanyDRW Montreal
CategoryOperations & Admin
LocationMontreal
RemoteOn-site (inferred)
EmploymentNot stated
LevelMid
SalaryNot stated by the employer
Posted5 May 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
DRW is a diversified trading firm with over 30 years of experience operating across global markets. This role is a GPU Infrastructure Specialist joining the AI and multi-asset systematic strategies team, responsible for designing and operating GPU infrastructure that powers AI and machine learning workloads across the entire infrastructure stack, from bare-metal hardware to model deployment. What You'll Do • Deploy, maintain, and optimize GPU infrastructure for large-scale LLM inference workloads, including provisioning, configuration, and deployment of GPU server fleets • Design and implement distributed model serving solutions for multi-node and multi-GPU deployments • Manage Kubernetes clusters with GPU support for LLM and ML workloads • Configure network infrastructure including load balancers, firewalls, and inter-node communication for GPU clusters • Diagnose performance bottlenecks at all levels: hardware, drivers, network, and application layer • Collaborate with ML engineers to profile model performance and implement inference acceleration techniques • Improve reliability through monitoring, alerting, capacity planning, and incident management What You Need • Bachelor's or Master's degree in Computer Science, Systems Engineering, or related field • 5+ years of experience in DevOps, SRE, or infrastructure engineering • Strong experience with GPU infrastructure, model serving frameworks (vLLM, SGLang), and GPU driver management • Hands-on experience optimizing deep learning workloads (inference or training) on GPU clusters • In-depth knowledge of Linux systems, including network configuration, storage optimization, and Kubernetes orchestration • Proficiency in Python and Bash scripting for automation • Solid understanding of distributed systems, network protocols (TCP/IP, HTTP/2), and load balancing Nice to Have • Experience with infrastructure-as-code tools (Ansible, Terraform, or equivalent) • Experience with monitoring and observability tools (Prometheus, Grafana, or equivalent) Recognized as one of Canada's best employers for 8 consecutive years. Comprehensive benefits package, commitment to continuous training and development, employee wellness and work-life balance focus, community initiatives and volunteering programs. See https://drw.com/fr/work-at-drw/avantages-montreal for full details.