Pioneering AI-first solutions, solving complex business challenges through expertise, cloud, data engineering, and AI.
Senior Platform Engineer
Location
California
Posted
99 days ago
Salary
0
Seniority
Senior
Job Description
Senior Platform Engineer
Quantiphi
• Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments • Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads • Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments • Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.) • Collaborate with cross-functional teams to deploy models in research and production environments • Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps) • Develop reusable infrastructure templates using tools like Terraform and Helm • Contribute to internal innovation (PoCs, workshops) and support client-facing delivery engagements
Job Requirements
- 8+ years of experience
- Strong experience with Slurm and distributed training environments
- Hands-on expertise with Red Hat OpenShift and/or Kubernetes
- Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT)
- Strong foundation in Linux systems, performance tuning, and multi-GPU optimization
- Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems)
- Familiarity with Infrastructure-as-Code tools (Terraform, Ansible)
- Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters
Benefits
- Health insurance
- Various career growth opportunities
- Flexible working hours
- Paid time off
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