Design, implement, and maintain the data, compute, storage, virtualization, security controls, and networking infrastructure that supports BER scientific data programs and facilities.
Responsibilities
Design, implement, and maintain facility-wide systems infrastructure including compute, storage, virtualization, and networking environments supporting DOE BER data programs and facilities.
Serve as a technical lead for infrastructure projects coordinated across the national laboratory complex, ensuring interoperability, security, and performance standards are met facility-wide.
Work with distributed teams to enable data collection, secure transfer, data processing, and distribution.
Architect and support high-availability and disaster recovery solutions for mission-critical systems.
Collaborate with engineers, scientists, and IT staff at partner national laboratories to align infrastructure strategy with research and operational requirements.
Requirements
BS degree in Computer Science
BS degree in Computer Engineering
BS degree in Information Systems
Nice to have: HPC environments support
Nice to have: Scientific computing infrastructure support
Maintenir et assurer l’exploitation du plus gros cluster de calculs privé mondial dans un contexte HPC pour le compte d’un grand industriel du bassin Palois.
Responsibilities
Installer, mettre à niveau et configurer les logiciels du middleware de l’infrastructure HPC
Faire évoluer les architectures des systèmes et de l'infrastructure afin d'intégrer les nouveaux matériels
Assurer le MCO et MCS de clusters de calculs
Assurer le suivi de la production des simulations qui tournent sur les clusters
Requirements
Diplôme d'ingénieur ou équivalent universitaire (Bac+5) en informatique, orienté Système et Réseaux
Responsible for acquiring data from primary or secondary data sources and maintaining databases/data systems. Also responsible for identifying, analyzing, and interpreting trends or patterns in complex data sets and cleaning data to correct problems.
Compensation
$17.71 - $24.28/Hourly
Responsibilities
Acquire and maintain data from primary or secondary sources
Identify, analyze, and interpret trends in complex data sets
Clean data to correct problems
Manage cloud storage and large transfers
Use AWS S3, IAM, CLI, boto3 for storage operations
Design and build the AI data layer for a multi-cloud GPU fleet, including data placement, caching, and lifecycle management, while owning reliability and capacity across research teams.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and build the AI data layer for a multi-cloud GPU fleet
Build high-throughput data paths for training and RL
Build Kubernetes-native APIs, operators and storage integrations
Own quotas, capacity and data lifecycle across hundreds of research teams
Measure workloads use of data and build I/O telemetry
Requirements
BS or MS in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience
Ingénieur administration système HPC responsable de l'installation, de la mise à niveau, de la configuration et de la maintenance des clusters HPC pour un grand industriel du bassin Palois.
Locations (3)
Le Plessis-Robinson, Île-de-France, France
Paris, Île-de-France, France
Pau, France
Responsibilities
Installer, mettre à niveau et configurer les logiciels du middleware de l’infrastructure HPC
Faire évoluer les architectures des systèmes et de l’infrastructure afin d’intégrer les nouveaux matériels
Assurer le MCO et MCS de clusters de calculs
Assurer le suivi de la production des simulations qui tournent sur les clusters
Requirements
Diplômé d'ingénieur ou équivalent universitaire (Bac+5) en informatique, orienté Système et Réseaux
Lead and maintain high-performance computing infrastructure, manage clusters, networking, storage, and cloud integration to support Guardant Health’s precision oncology data pipelines.
Locations (2)
Palo Alto, California, United States
Colorado, United States
Compensation
The annualized base salary ranges for the primary location and any additional locations are listed below. This range does not include benefits or, if applicable, bonus, commission, or equity. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, education, job-related skills, job duties, and business need.
Responsibilities
Manage multiple HPC clusters and cluster file systems
Integrate cloud bursting as part of the HPC abstraction work
Research, develop, and implement next generation HPC solutions
Troubleshoot production system stack down to source code level
Maintain, monitor, and support the infrastructure environment and/or facilities
Requirements
C
Senior Linux Engineer (Linux / Python) - Financial Services Industry - Low Latency
Senior Linux Infrastructure Engineer responsible for designing, building, and managing scalable infrastructure platforms across bare metal, hypervisors, containers, and public cloud environments.
Responsibilities
Manage systems at scale through standardization, automation, testing, and monitoring
Define and enforce infrastructure standards for source control, testing, CI/CD, OS, patches, and configuration management
Support a distributed compute environment and multi-petabyte storage platforms
Install, configure, and monitor RHEL-based Linux systems
Troubleshoot hardware and software issues across the full stack
Requirements
Bachelor's degree in Engineering or a related technical discipline
Senior Linux Engineer with a focus on Storage (GPFS/VASA) in an HPC Environment, designing and maintaining large-scale storage and compute environments.
Compensation
Salary : Open and will be commensurate with experience
Responsibilities
Design, build, and maintain large-scale HPC storage and compute environments to support business growth using bare-metal Linux technology.
Optimize performance, scalability, and capacity across high-performance storage systems
Automate deployment, configuration, and monitoring processes using Chef, Ansible, and Python
Support hybrid storage architectures spanning on-premises and cloud (AWS, GCP) environments
Collaborate with global engineering and infrastructure teams to enforce standards and enhance system reliability
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Ingénieur.e administration système HPC - IndustrieSopra Steria · Saint-Paul-les-Durance, France