First-hire leader for a new AI compute business, responsible for sourcing, buying, and financing GPU hardware while building partner networks for deployment and revenue.
Locations (2)
San Francisco, California, United States
United States
Responsibilities
Define the GPU purchasing strategy with leadership
Secure supply by building relationships with NVIDIA partners, OEMs, ODMs, distributors and secondary-market sellers
Negotiate and close purchase agreements regarding price, lead times, payment terms, warranty and support
Structure hardware financing together with finance
Build deployment partnerships including colocation, power providers, networking and system integrators
Requirements
Nice to have: GPU financing
Nice to have: colocation experience
Nice to have: data center partnerships
Nice to have: knowledge of export controls on AI chips
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
This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs.
Responsibilities
Lead the product development lifecycle, reviewing the priorities and goals for your product
Collaborate with cross-functional teams such as engineering, design, marketing, and sales
Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track
Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities
Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations
Requirements
Exceptional academic results at high school and university
Lead performance engineering for NVIDIA’s data center platforms, integrating experimentation and software to optimize HPC and AI workloads.
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:
Poland: 292,500 PLN – 507,000 PLN for Level 4; and 375,000 PLN – 650,000 PLN for Level 5.
Responsibilities
Characterize node, rack, and cluster performance using microbenchmarks and representative applications
Measure throughput, latency, and scaling efficiency to identify compute, memory, communication, and storage bottlenecks
Identify Linux performance problems related to CPU scheduling, NUMA locality, CPU and memory affinity, interrupt handling, and resource contention
Examine distributed workload scaling, considering collective communication, synchronization delays, slow nodes, and the interplay between computation and communication
Combine application profiles, system traces, hardware counters, and cluster telemetry to isolate root causes
Requirements
BS or MS in Computer Science, Engineering, Mathematics, Physics (or equivalent experience)
The HPC Systems Engineer is responsible for supporting the HPC efforts for the research computing group and related research computing technologies, managing large IT systems for research using automated and software-defined approaches.
Compensation
Pay Range Minimum: $97,080.00 annual Pay Range Maximum: $157,764.00 annual
Responsibilities
Design, develop, adapt, integrate, manage, optimize, or deploy monitoring for new or existing systems, software, or automation.
Perform system management functions such as account administration, service administration, software installation and configuration, firmware updates, backing up and restoring data.
Monitor HPC and related systems health and performance, and troubleshoot and resolve issues that impact performance, health, or reliability.
Monitor support ticket and alerting queue; triage, respond to, and resolve tickets and on-call pages as appropriate.
Research and evaluate new and future technologies. Plan and architect new systems and the evolution and lifecycle of existing systems and clusters.
The HPC team builds and operates the computational technology backbone of the company, including scalable data storage, high-performance compute clusters, and software infrastructure for data processing.
Compensation
Primary Location Base Range: $173,000 - $237,950
Responsibilities
Manage multiple HPC clusters and cluster file systems
Integrate cloud bursting as part of the HPC abstraction work
Research, develop, and implement the next generation HPC solutions
Troubleshoot the production system stack down to source code level, e.g., shell scripts, Python, and others
Maintain, monitor, and support the infrastructure environment and/or facilities
Requirements
Bachelor’s degree in Computer Science or a related field
Design and deploy large-scale HPC and GPU infrastructure and architect scalable AI solutions on OCI, serving as a technical advisor for enterprise customers.
Responsibilities
Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI)
Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes.
Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management.
Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements.
Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through production.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline
Nice to have: Experience with Oracle Cloud Infrastructure (OCI)
Nice to have: Experience with large GPU clusters based on Kubernetes and/or Slurm
Nice to have: Experience supporting AI startups, research organisations, or enterprise AI programmes
Nice to have: Oracle Cloud certifications or equivalent cloud certifications (AWS, Azure, or Google Cloud)
Lead product development lifecycle, collaborate with cross-functional teams, conduct market research, and drive product strategy for Ubuntu and related services.
Responsibilities
Lead the product development lifecycle
Collaborate with cross-functional teams such as engineering, design, marketing, and sales
Conduct market research, analyse industry trends, and gather customer feedback
Communicate product vision and status updates
Conduct usability testing and iterate on product
Requirements
Exceptional academic results at high school and university
Nice to have: Familiarity with particular verticals (e.g. Telco, Finance, Industrial, Automotive)
Nice to have: Familiarity with technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel
Nice to have: Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps
Nice to have: Familiarity with embedded and connected device technology and ecosystems
Lead the functional verification of complex ASIC designs for AI fabric switches, managing the full verification lifecycle and collaborating with software and system validation teams.
Compensation
The base salary range is USD 185,000.00 – USD 240,000.00.
Responsibilities
Plan and write verification tests using System Verilog/UVM/C/C++
Lead the product development lifecycle, collaborate with cross‑functional teams, conduct market research, and drive product strategy for open source solutions.
Responsibilities
Lead the product development lifecycle, reviewing the priorities and goals for your product
Collaborate with cross‑functional teams such as engineering, design, marketing, and sales
Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track
Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities
Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations
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