AI Infrastructure Operations Engineer
Accenture
Quick summary
Market check
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $147,868–$217,237.
Based on 240 similar postings.
Employer
Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.
Genentech currently has 9 open roles on FindRole.
Listed pay typically runs $149,400–$277,500 across 8 roles with salary data.
Most-posted roles
At a glance
As a member of the Accelerated Compute Engineering team, the Orchestration Workload Engineer serves as a subject matter expert in workload orchestration, managing the scheduler tech stack across High-Performance Computing platforms. This role involves architecting and scaling SLURM environments, designing advanced configurations like topology-aware scheduling and GPU management, and integrating containerization standards using Singularity or Apptainer. The engineer will bridge traditional scientific computing with modern AI paradigms by integrating SLURM with Kubernetes and orchestration platforms like Run:ai. Key responsibilities include solving multi-tenant bottlenecks, managing GRES/TRES modeling, and implementing Infrastructure-as-Code via Ansible and Terraform. The role requires expertise in NVIDIA MIG, InfiniBand, RoCE, MPI, and NCCL to optimize multi-node CPU and GPU environments. This position addresses the technical challenge of providing reliable, high-availability compute infrastructure for research and data science workloads within a complex pharmaceutical R&D environment.
Skills
What you'll do
What we're looking for
More like this
Accenture
AbbVie
Cisco
Amd
Qualcomm
Cisco