{"id":2558910,"url":"https://alion.io/job/nvidia-senior-ai-technical-instructor","title":"Senior AI Technical Instructor","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":"A","score":86,"open_postings":479,"ghost_share":0.015,"stale_share":0.516,"repost_share":0.033,"time_to_fill_p50_days":28,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Education","role_family":"Education","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":322000,"currency":"USD","period":"year","gross":null,"usd_annual":322000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"Python","optional":false},{"name":"RAPIDS","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2026-10-14T20:04:42Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T05:26:04Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an exceptional tradition of innovation powered by outstanding technology and remarkable people. Today, we’re harnessing the boundless possibilities of AI to invent the next era of computing. A time when our GPU serves as the intelligence behind computers, robots, and autonomous vehicles capable of interpreting the world. Achieving what has never been accomplished before requires foresight, creativity, and the world’s finest talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and discover how you can build a lasting impact on the world.\nWe are looking for an outstanding Senior AI Technical Instructor with field experience and expertise in AI data center workloads and technologies to join NVIDIA's enablement team. In this role, you will partner closely with NVIDIA’s sales leaders, partner organization, product, and technical marketing teams to ensure that partner field technical teams have the knowledge and skills necessary to effectively position, recommend, and leverage NVIDIA AI Enterprise solutions.\nWhat You’ll Be Doing:\nTraining delivery: Conduct weekly face-to-face training sessions for NVIDIA's partners, with a willingness to travel up to 25% as the need arises.\nContent development: Develop and refine training materials centered on our AI and data center technologies and sales motions, ensuring content aligns with company strategy.\nDemos and hands-on: Build engaging lab-based training and interactive hands-on demos and exercises showcasing NVIDIA's AI technologies and the latest AI solutions in the market.\nVoice of our partners: Actively listen to the workshop audience, understand their concerns and questions, and translate their feedback into actionable ideas to enhance our training content.\nWorkshop support: Support programmatic aspects of workshop planning and delivery, and develop instructor delivery notes and assessment materials.\nWhat We Need To See:\nBS/MS or equivalent experience in computer science, mathematics, engineering, or a comparable depth of knowledge and background.\n12+ years in technical sales, pre-sales, solutions architecture, or similar customer-facing technical positions. At least 5 years passionate about infrastructure systems supporting AI, like accelerated computing, networking, or storage.\nSolid proficiency with AI concepts, including Machine Learning, Generative AI, and Agentic AI, with the ability to communicate technical concepts effectively to technical sales audiences.\nSkilled at delivering engaging training sessions and presentations.\nProven expertise using AI tools, autonomous workflows and frontier models to develop training content, build interactive presentations and practical labs, and accelerate your own work.\nStrong communication, interpersonal, and writing skills in English.\nAbility to work multi-functionally across different levels of a matrixed organization.\nWays To Stand Out From The Crowd:\nExperience developing and delivering in-depth training for field sales and technical audiences, including channel partners.\nFamiliarity with the NVIDIA partner ecosystem, hardware platforms, and the software stack from CUDA and CUDA-X through NeMo and the enterprise AI solutions provided by NVIDIA.\nHands-on experience with agentic workflows and coding agents; tools such as Kubernetes, Docker, Git, Python, CUDA, RAPIDS, and TensorRT; and cloud service providers (AWS, Azure, GCP).\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 18, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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