VXLAN) and best practices for them Proven ability to select and work with vendors to engineer switches for next-generation computing environments Experience managing Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus) and SONiC-based switches, as well as an interest in exploring new platforms Strong design skills in computing and grid networks, with expertise in capacity planning, and full lifecycle More ❯
in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable More ❯
in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable More ❯
the combination of Cohesity with Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We've been named a Leader by multiple analyst firms More ❯
and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology More ❯
Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change More ❯
InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯
InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯
AWS PostgreSQL, SQLite Kafka, MQTT Shell scripting REST APIs Docker for both our cloud and edge-device applications Microservice-style, event-driven cloud architecture IoT 'smart' edge devices (using nVidia AI chips) Linux-based embedded OS on our Edge devices Continuous Integration and Delivery using Jenkins, SonarQube Terraform for infrastructure management Grafana, Elasticsearch, Kibana & New Relic for metrics, logs and More ❯
Strong vLLM/Text Generation Inference experience for high-throughput model serving - Proven ability to work on air-gapped systems with no external package repositories - Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores More ❯
Strong vLLM/Text Generation Inference experience for high-throughput model serving - Proven ability to work on air-gapped systems with no external package repositories - Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores More ❯
Strong vLLM/Text Generation Inference experience for high-throughput model serving - Proven ability to work on air-gapped systems with no external package repositories - Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores More ❯
AI. We are a leading provider of enterprise-grade GPU cloud infrastructure, specialising in high-performance computing solutions for LLM and MML workloads. Partnering with premier hardware providers like NVIDIA, AMD, and major OEMs, we deliver cutting-edge AI infrastructure across multiple global data centres. As we continue to grow, we’re on the lookout for an exceptional Talent Sourcer More ❯
AI. We are a leading provider of enterprise-grade GPU cloud infrastructure, specialising in high-performance computing solutions for LLM and MML workloads. Partnering with premier hardware providers like NVIDIA, AMD, and major OEMs, we deliver cutting-edge AI infrastructure across multiple global data centres. As we continue to grow, we’re on the lookout for an exceptional Talent Sourcer More ❯
AI. We are a leading provider of enterprise-grade GPU cloud infrastructure, specialising in high-performance computing solutions for LLM and MML workloads. Partnering with premier hardware providers like NVIDIA, AMD, and major OEMs, we deliver cutting-edge AI infrastructure across multiple global data centres. As we continue to grow, we’re on the lookout for an exceptional Talent Sourcer More ❯
AI. We are a leading provider of enterprise-grade GPU cloud infrastructure, specialising in high-performance computing solutions for LLM and MML workloads. Partnering with premier hardware providers like NVIDIA, AMD, and major OEMs, we deliver cutting-edge AI infrastructure across multiple global data centres. As we continue to grow, we’re on the lookout for an exceptional Talent Sourcer More ❯
london (city of london), south east england, united kingdom
Nscale
AI. We are a leading provider of enterprise-grade GPU cloud infrastructure, specialising in high-performance computing solutions for LLM and MML workloads. Partnering with premier hardware providers like NVIDIA, AMD, and major OEMs, we deliver cutting-edge AI infrastructure across multiple global data centres. As we continue to grow, we’re on the lookout for an exceptional Talent Sourcer More ❯
30+ Days Ago Business Development Director - AI Platform-2 (m/f/d) locations London time type Full time posted on Posted 30+ Days Ago Director of Alliances - Nvidia (m/f/d) locations 2 Locations time type Full time posted on Posted 30+ Days Ago Northern Data Group is a global company with a European heart, driven More ❯
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our More ❯
world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our More ❯
PDUs) Desirable Skills: Previous work on large-scale AI, HPC, or cloud infrastructure projects Certifications such as BICSI, CNCI, or similar Familiarity with AI-focused hardware (e.g., GPU clusters, NVIDIA infrastructure) Ability to work independently and meet tight deployment time lines Supportive and fast-paced technical environment Opportunity for repeat contracts or long-term engagement More ❯
PDUs) Desirable Skills: Previous work on large-scale AI, HPC, or cloud infrastructure projects Certifications such as BICSI, CNCI, or similar Familiarity with AI-focused hardware (e.g., GPU clusters, NVIDIA infrastructure) Ability to work independently and meet tight deployment time lines Supportive and fast-paced technical environment Opportunity for repeat contracts or long-term engagement More ❯
PDUs) Desirable Skills: Previous work on large-scale AI, HPC, or cloud infrastructure projects Certifications such as BICSI, CNCI, or similar Familiarity with AI-focused hardware (e.g., GPU clusters, NVIDIA infrastructure) Ability to work independently and meet tight deployment time lines Supportive and fast-paced technical environment Opportunity for repeat contracts or long-term engagement More ❯
Birmingham, West Midlands, England, United Kingdom
Cerco
PDUs) Desirable Skills: Previous work on large-scale AI, HPC, or cloud infrastructure projects Certifications such as BICSI, CNCI, or similar Familiarity with AI-focused hardware (e.g., GPU clusters, NVIDIA infrastructure) Ability to work independently and meet tight deployment time lines Supportive and fast-paced technical environment Opportunity for repeat contracts or long-term engagement More ❯
PDUs) Desirable Skills: Previous work on large-scale AI, HPC, or cloud infrastructure projects Certifications such as BICSI, CNCI, or similar Familiarity with AI-focused hardware (e.g., GPU clusters, NVIDIA infrastructure) Ability to work independently and meet tight deployment time lines Supportive and fast-paced technical environment Opportunity for repeat contracts or long-term engagement More ❯
