Descripción de la oferta
Overview
As a User Enablement Engineer within the Accelerated Compute Engineering (ACE) team, you will be responsible for overseeing the deployment, optimization, and day‑to‑day operation of user‑facing software, application frameworks, and research environments across our High‑Performance Computing (HPC) and AI Factory platforms. Your mission is to maximize the productivity of Roche’s scientific community by providing frictionless access to cutting‑edge computational tools.
With the introduction of our industry‑leading NVIDIA AI Factory infrastructure, you will play a pivotal role in productizing and supporting advanced software suites like NVIDIA AI Enterprise. By ensuring that complex AI/ML frameworks, large language model tools, and specialized simulation environments are perfectly tuned for our clusters, you will directly accelerate the time‑to‑value for researchers training complex AI models and executing large‑scale computational science workloads.
Responsibilities
User‑Facing Platform & Environment Management
Deploy, support, and optimize user‑facing environment portals and platforms, including Roche ROCs and SCOOP environments for HPC
Own the lifecycle and availability of standard software stacks, modules, and containerized application environments
Collaborate closely with infrastructure engineers to ensure user‑facing portals interface seamlessly with core scheduling and data transfer layers
AI Factory & Software Stack Productization
Architect and manage the deployment of the NVIDIA AI Enterprise software suite, ensuring proper integration and license optimization
Provide and support cutting‑edge AI pipelines and development platforms, including NVIDIA NeMo for generative AI/LLMs and NVIDIA Omniverse for advanced industrial simulations and digital twins
Build, benchmark, and maintain highly optimized container builds for standard AI/ML Frameworks (such as PyTorch and TensorFlow), incorporating deep learning inference servers like Dynamo‑Triton to maximize GPU utilization
Scientific Consultation & Technical Enablement
In partnership with the Value Engineering and Outcomes team, act as the technical entry point and consultant for research teams, assisting them in porting their code, algorithms, and models onto the ACE platforms
Develop, curate, and maintain developer documentation, example code repositories, and user guides to enable self‑service onboarding
Diagnose and resolve complex software‑layer bottlenecks, dependency conflicts, and compilation issues spanning scientific software packages, Python virtual environments, and GPU‑accelerated libraries (e.g., CUDA, cuDNN)
Qualifications
Education / Experience
Bachelor’s or an advanced degree in Computer Science, Data Science, Bioinformatics, Computational Chemistry, or a similar technical discipline
5+ years of experience in an engineering role focused on scientific software compilation, user enablement, or DevOps for advanced research compute environments
Deep proficiency navigating and managing user applications within Enterprise Linux (RHEL/Ubuntu) multi‑tenant systems
Technical & Business Skills
Experience configuring and optimizing NVIDIA AI Enterprise applications, specifically NeMo, Omniverse, and Triton Inference Server architectures
Deep understanding of modern AI/ML Frameworks (PyTorch, Jax, TensorFlow) and their performance tuning on modern GPU architectures
Proficiency with environment management tools (such as Lmod/Environment Modules, Conda) and container technologies (Singularity/Apptainer, Docker)
Strong scripting capabilities (Python, Bash) to automate user environment configurations and application testing pipelines
Enforce a strict configuration‑as‑code and infrastructure‑as‑code mindset, replacing manual interventions with repeatable automation scripts
Leadership & Mindset
Lean & Agile Mindset: Highly focused on driving self‑service capabilities and automating application delivery to scale support
Customer Champion: A genuine passion for working with researchers, understanding their technical pain points, and translating complex infrastructure into accessible services
Intelligence & Curiosity: A strong passion for innovation and staying current with the rapidly changing open‑source and commercial AI/ML software landscape
Equal Opportunity Employer
Roche is an Equal Opportunity Employer.
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