{"id":1040733,"url":"https://alion.io/job/nvidia-tech-engagement-lead-ai-labs-emea","title":"Tech Engagement Lead, AI Labs - EMEA","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":778,"ghost_share":0.022,"stale_share":0.587,"repost_share":0.04,"time_to_fill_p50_days":38,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["France","United Kingdom"],"countries":["FR","GB"],"hiring_countries":["FR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":196000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"CUTLASS","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NCCL","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"Post-training","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false},{"name":"World Models","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-11-01T01:24:15Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"NVIDIA is seeking a technically strong Technical Engagement Lead to work with frontier AI labs and model builders. This role will deepen the integration of NVIDIA’s platform-from GPU architecture and systems to software libraries-into leading research, training, post-training, inference, and emerging AI workloads.\nYou will operate at the intersection of AI research, infrastructure, product strategy, and partner engagement. You will understand how model builders develop and scale their systems, identify opportunities to improve their performance on NVIDIA, and translate those insights into product influence, technical collaborations, and joint success.\nWhat you will be doing:\nLead technical engagements:Build trusted relationships with senior research, engineering, and infrastructure leaders at frontier AI labs and model builders. Serve as a primary technical point of contact across NVIDIA and the partner organization.\n\nUnderstand the latest AI developments:Track frontier research, model architectures, training methods, post-training, inference systems, agents, world models, robotics, vision, and other emerging AI workloads. Translate relevant developments into NVIDIA opportunities.\n\nDiscover and define future workloads:Identify the next workloads, use cases, and technical requirements that will shape AI infrastructure. Engage early-before architectures, interfaces, and platform decisions are fixed.\n\nDrive platform integration:Help partners adopt and optimize NVIDIA GPUs, systems, networking, and software libraries across their development pipelines. This may include CUDA, CUDA-X, NCCL, TensorRT-LLM, NeMo, Transformer Engine, CUTLASS, vLLM, SGLang, and related technologies.\n\nInfluence NVIDIA’s platform roadmap:Work with NVIDIA hardware and software product teams to communicate partner requirements, identify cross-lab patterns, and influence improvements from silicon through systems, libraries, frameworks, and scalable serving.\n\nSupport technical assessment of new AI labs:Work cross-functionally with Corporate Development, NVentures, VC Alliances, and other NVIDIA teams to assess the technical capabilities, infrastructure needs, strategic relevance, and collaboration potential of emerging AI labs.\n\nDevelop collaboration strategies:Help define technical objectives, integration plans, milestones, success criteria, and partner-specific roadmaps. Draft technical collaboration agreements and related working documents in partnership with the appropriate NVIDIA teams.\n\nCelebrate joint success:Partner with Marketing, Events, Communications, and PR to identify and develop opportunities to showcase successful collaborations through GTC, developer blogs, product announcements, case studies, panels, demos, and other public or partner-facing activities.\n\nWhat we need to see:\nB.S. degree or equivalent experience; an advanced degree in computer science, electrical engineering, machine learning, or a related research or technical field is preferred.\n\n8+ years of experience in AI research, AI infrastructure, distributed systems, GPU computing, technical product management, or engineering.\n\nCurrent understanding of frontier AI research, model development, training, post-training, inference, and emerging AI workloads.\n\nPractical understanding of GPU platforms and AI software libraries, including CUDA, CUDA-X, NCCL, PyTorch or JAX, and relevant training or inference systems.\n\nExperience with large-scale GPU clusters, high-speed networking, distributed storage, workload orchestration, performance optimization, and cloud or on-premises infrastructure.\n\nAbility to understand complex model-builder architectures, identify technical bottlenecks, and translate them into actionable engineering and product requirements.\n\nExcellent written and verbal communication skills, including the ability to explain complex technical subjects clearly to technical and non-technical audiences.\n\nAbility to operate effectively across NVIDIA Product, Engineering, Sales, Marketing, Events, PR, Corporate Development, NVentures, and executive teams.\n\nWays to stand out from the crowd:\nHands-on experience with large language models, multimodal models, diffusion or video models, reinforcement learning, agents, world models, robotics, or other frontier workloads.\n\nExperience working below the framework layer with CUDA kernels, communication libraries, compilers, memory movement, precision, or performance optimization.\n\nA track record of turning research or infrastructure insights into product requirements, platform improvements, technical integrations, public technical content, or joint customer success.\n\nStrong curiosity, sound technical judgment, and the ability to stay current as the AI landscape evolves.\n\nAbility to thrive in a startup mindset and dynamic environment, adapting quickly to evolving AI landscapes.\n\nThis role is an opportunity to help frontier AI labs build their most ambitious systems on NVIDIA, while shaping the next generation of NVIDIA’s hardware and software platform. You will help discover new workloads, influence the platform, scale technical learning across model builders, and elevate the joint successes that demonstrate what NVIDIA and its partners can achieve together.\nJoin NVIDIA at a crucial time as we pioneer Generative AI growth. We are in the infancy stage of building and scaling our Generative AI business for large model development. This role offers a unique opportunity to join this rapid expansion. NVIDIA's hardware, systems, and software libraries are at the heart of this growth. They empower large model builders to revolutionize their operations with powerful AI capabilities. This is your chance to be a key member of a team that will shape the future of AI model development, working with the world's leading AI research labs and the most innovative technologies. Your contributions will directly impact the trajectory of our Generative AI success, making this an unparalleled opportunity for professional growth and significant impact.","description_format":"text","description_chars":6024,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-18T18:56:40Z"}],"visa":[],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.506,"p_room":0.44,"age_days":50,"expected_fill_days":38,"reasons":["conf:6","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-tech-engagement-lead-ai-labs-emea","json_url":"https://alion.io/job/nvidia-tech-engagement-lead-ai-labs-emea.json","meta":{"generated_at":"2026-11-01T03:47:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5921,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-tech-engagement-lead-ai-labs-emea"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-tech-engagement-lead-ai-labs-emea"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-tech-engagement-lead-ai-labs-emea"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-tech-engagement-lead-ai-labs-emea\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-tech-engagement-lead-ai-labs-emea"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1040733}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1040733},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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