Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
About the role
Serve as the internal expert on the SLURM Workload Manager, architecting, scaling, and maintaining SLURM across heterogeneous HPC (and AI environments) to ensure high availability and dynamic resource distribution. Design and tune advanced SLURM configurations, including custom plugin integration, topology-aware scheduling, GRES/GPU management, dynamic priority trees, and complex QoS/fair-share policies.
What they're looking for
- Bachelor’s or advanced degree in Computer Science, Applied Mathematics, Computational Engineering, or a related technical discipline
- Extensive systems engineering experience with deep specialization in workload scheduling, SLURM administration, and multi-tenant cluster optimization
- Demonstrated track record of leading complex technical initiatives and mentoring engineering peers
- Proven experience in life sciences, pharmaceutical R&D, or high-performance scientific research environments
- Kubernetes & Container Knowledge: Hands-on experience with Kubernetes fundamentals and container runtimes (Singularity, Apptainer, Enroot, Docker) within an HPC context
- AI Infrastructure & Interconnects: Deep familiarity with GPU scheduling (NVIDIA MIG, fractionalization), high-speed interconnects (InfiniBand, RoCE), and multi-node communication frameworks (MPI, NCCL)
More about this role
As a Workload Orchestration Engineer within the Accelerated Compute Engineering (ACE) team, you will be recognised internally as an expert in workload orchestration, owning and advancing our scheduler tech stack across our High-Performance Computing (HPC) platforms. With the rapid expansion of our compute infrastructure, your broad expertise will drive the efficient scheduling, policy management, and resource optimization of our multi-node CPU and GPU environments.
In this role, you will use your expertise to bridge traditional scientific computing with modern AI paradigms, while acting as a coach and mentor to help colleagues develop technical expertise. You will solve unique, unprecedented scheduling and infrastructure challenges that directly impact Roche’s compute architecture, ensuring our researchers, data scientists, and engineers can execute compute workloads reliably, efficiently, and successfully.
Hosting and Infrastructure (HI) provides mission-critical on-premises infrastructure, cloud hosting, connectivity, and technology products that enable all functions at every Roche site to develop, innovate, connect, and deliver compliant digital products across the Roche...
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