15 of 15 NVIDIA Jobs in London

CoCo Experience with Ceph or distributed storage systems Familiarity with Prometheus, Grafana or OpenTelemetry Experience with BGP, RDMA or high performance networking Exposure to NVIDIA GPU infrastructure or bare metal cloud environments Why this role matters AI infrastructure is constrained by the ability to deliver reliable compute at scale. This ...

senior engineer from a l eading AI lab (Anthropic, OpenAI, Google DeepMind, and the like) or Big Tech (Google, Microsoft, Amazon, Meta, Nvidia, and the like), or an exceptional researcher (e.g. from IIT, Stanford University, UCL, or equivalent) ready to step into a high-impact leadership position. This ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon ...

Linux diagnostics, benchmarking tools, and electronics schematics Excellent communication skills and ability to work in complex environments Nice to Have Python programming Experience with NVIDIA platforms or microcontrollers Knowledge of AWS or cloud environments Experience with automated testing Background in video processing, streaming, or camera systems Experience in medical devices ...

scale Ethernet fabric experience across BGP, ECMP and low latency operations IPv6 and public ASN experience Multi vendor experience across environments such as NVIDIA Mellanox, Arista, Juniper, Cisco, whitebox or ODM hardware Experience from a neo cloud, hyperscaler, major vendor, GPU infrastructure company, HPC platform or AI infrastructure provider Must ...

scale Ethernet fabric experience across BGP, ECMP and low latency operations IPv6 and public ASN experience Multi vendor experience across environments such as NVIDIA Mellanox, Arista, Juniper, Cisco, whitebox or ODM hardware Experience from a neo cloud, hyperscaler, major vendor, GPU infrastructure company, HPC platform or AI infrastructure provider Must ...

Role - Ecosystem Channel Lead (NVIDIA) - UK Location - United Kingdom Experience: 12–15+ Years Ecosystem Channel Lead (NVIDIA) - UK 1. Business Development Lead (AI Growth Evangelist) – EMEA Regions Role Summary: Seasoned Business Development Lead responsible for driving AI business growth in the region. Acts as an “Evangelist” for HCLTech-NVIDIA solutions … Pipeline Generation & Sales – Identify and pursue AI opportunities in the region, building a robust sales pipeline and converting leads into order book revenue. Leverage NVIDIA’s ecosystem (products, platforms, partners) to craft solutions addressing client needs, and drive deal closure in coordination with sales teams. • Client Engagement – Proactively engage ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania ...

integrating perception and control systems • Familiarity with autonomous navigation stacks • Strong problem-solving and debugging skills in real-world robotic environments Nice to Have • NVIDIA Isaac • LiDAR systems • Edge AI deployment ...

technical roadmap, or assembling a small high-caliber team Relevant backgrounds may include Databricks, Snowflake, Palantir, Confluent, Elastic, MongoDB, AWS, Google Cloud, Microsoft Azure, NVIDIA, AMD, Rescale, enterprise software , industrial software , cloud infrastructure , AI infrastructure , or advanced R&D environments . PhD-level technical depth is a plus ...

working close to hardware and reading schematics/datasheets ⭐ Nice to Have: • Video streaming/video processing experience • Camera sensors, codecs, or streaming protocols • NVIDIA platforms • Python, AWS, automated testing • OTA update mechanisms • Security concepts and safety-critical/medical device development 📍 Hybrid Working: This role requires 3 days ...

rack elevations, power models, network fabric BoMs, and structured cabling designs Build, validate, and optimize Bills of Materials and High-Level Designs aligned with NVIDIA reference architectures and point-to-point deployment standards Design cable tray layouts, basket pathways, and segregation strategies for InfiniBand, Ethernet, out-of-band management ...

rack elevations, power models, network fabric BoMs, and structured cabling designs Build, validate, and optimize Bills of Materials and High-Level Designs aligned with NVIDIA reference architectures and point-to-point deployment standards Design cable tray layouts, basket pathways, and segregation strategies for InfiniBand, Ethernet, out-of-band management ...