Research Infrastructure Engineer

Title: Scientific Computing & Research Infrastructure EngineerLocation: San Francisco Bay AreaJob SummaryWe are seeking an experienced Scientific Computing & Research Infrastructure Engineer to support a leading life sciences research organization. This role requires a strong combination of Linux administration, High Performance Computing (HPC), NVIDIA GPU infrastructure, and scientific computing experience. The engineer will work directly with structural biology and life sciences researchers to support research applications, GPU compute environments, scientific data pipelines, and high-performance storage infrastructure.Required SkillsStrong Linux Administration (RHEL, Ubuntu, CentOS)High Performance Computing (HPC)Slurm Workload Manager (Must Have)NVIDIA GPU Infrastructure & CUDAPython & Bash scriptingDocker and/or Singularity/ApptainerNAS/SAN Storage AdministrationScientific Computing / Research ComputingData Pipeline ManagementOn-Prem InfrastructureAWS, Azure, or GCP (Preferred)Required ExperienceExperience supporting Structural Biology, Computational Biology, Bioinformatics, or Life Sciences research environments.Hands-on administration of HPC clusters and GPU infrastructure.Experience supporting scientists and research teams directly.Ability to install, configure, troubleshoot, and optimize scientific computing environments.Experience managing large scientific datasets and storage infrastructure.Preferred BackgroundStructural BiologyCryo-EMComputational BiologyMolecular ModelingBioinformaticsPharmaceutical or Biotechnology ResearchResearch ComputingMust-Have KeywordsLinux, HPC, Slurm, NVIDIA GPU, CUDA, Python, Bash, Docker, Singularity, Apptainer, NAS, SAN, Scientific Computing, Structural Biology, Computational Biology, Bioinformatics, Life Sciences, Research Computing.