{"id":1139766,"url":"https://alion.io/job/nvidia-senior-technical-marketing-engineer-enterprise-platform","title":"Senior Technical Marketing Engineer, Enterprise Platform","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":225,"ghost_share":0.013,"stale_share":0.244,"repost_share":0.044,"time_to_fill_p50_days":24,"computed_at":"2026-09-23T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":148000,"max":235750,"currency":"USD","period":"year","gross":null,"usd_annual":235750},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LocalAI","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-09-23T10:21:06Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T13:13:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are now looking for a Technical Marketing Engineer (TME) for crafting compelling workflows of NVIDIA solutions. This role requires a self-motivated person that thrives in a fast-paced, highly multifaceted environment that can adapt to a variety of challenges. You will focus on customer enablement of workstation and local AI development products, work with key OEMs and internal teams to define demos of GPU enabled Enterprise Platforms and provide key technical collateral.\nWhat you will be doing:\nAs an Enterprise Platform Technical Marketing Engineer, you will accelerate the adoption of NVIDIA Enterprise solutions by building the workflows, demos, and technical content that show partners and customers what GPU-accelerated platforms make possible. This is a deeply technical role for someone who can stand up an AI or agentic AI workflow end to end - and then explain it clearly to a room of engineers or at a public events. You will develop technical marketing assets including product and technology demonstrations, videos, playbooks, and targeted content that translate NVIDIA Enterprise Platform capabilities into real-world use cases across Manufacturing, AECO, and Media & Entertainment. Working closely with key OEM partners and internal teams, you will help define the demos that showcase GPU-enabled enterprise platforms, produce the technical collateral that supports them, and enable customers to develop AI locally on the systems they already trust. Does this sound like your dream job? Come show us what you've got!\nWhat we need to see:\n8+ years of expertise with Workstation and server hardware, and graphics enabled workflows\n\nBachelors in Computer Science, Engineering, or equivalent experience with graphics.\n\nExcellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations)\n\nAbility to influence and work with an elite team of hardware and software engineers\n\nStrong leadership skills and a creative and collaborative attitude\n\nSelf-motivated individual who can work through a problem from start to finish\n\nExcellent presentation and story-telling skills to engage customers, press, and analysts\n\nProven ability to think creatively and innovatively, you have the ability to thrive in a high-energy, dynamic environment\n\nWays to stand out from the crowd:\nAI and Agentic AI development experience\n\nKnowledge of CPU and/or GPU architecture, networking and storage\n\nProficient in Linux, Windows, Arm architecture\n\nExpertise in NVIDIA technologies and solutions\n\nExperienced in creating compelling collateral, and speaking publicly about data center and AI innovations\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until September 27, 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. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":3557,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology","Autonomous Driving","Computer Components"],"lifecycle":[{"event":"open","at":"2026-09-23T10:21:06Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-09-23T15:24:59Z"},"pay":{"stated_usd_annual":235750,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-technical-marketing-engineer-enterprise-platform","json_url":"https://alion.io/job/nvidia-senior-technical-marketing-engineer-enterprise-platform.json","meta":{"generated_at":"2026-09-23T15:24:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}