
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 July 8
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Be a technical specialist on GPU and networking products, partnering with account, program, architecture, and engineering teams to support design-in, integration readiness, issue resolution, and successful ramp execution • Actively establish and nurture technical relationships with partner engineering teams, technical leaders, internal stakeholders, and cross-functional launch teams • Identify customer architectures and key product requirements in the CSP/ODM AI market to successfully implement NVIDIA's solutions • Provide primarily onsite technical support, with remote and travel-based support as business needs require, to debug hardware, firmware, software, networking, and system integration issues • Lead the product across design-in, NPI, rack integration, validation, production ramp, sustaining support, and lifecycle transitions • Develop technical solutions including hardware & software demos and example system builds • Offer technical enablement to internal technical teams, account teams, program teams, and partner-facing stakeholders • Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience.
• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience) • 5+ years of experience in system design, datacenter deployment, manufacturing support, technical customer support, or ODM/partner integration • Capable of excelling in a dynamic, constantly evolving environment • Remarkable talent for effectively managing multiple initiatives and priorities • Expert analytical and problem-solving abilities • Strong time-management and organizational skills for coordinating complex projects • Excellent written and oral communication skills in English • Familiarity with server, rack, GPU, networking, storage, power, thermal, cabling, firmware, BMC, and Linux-based debug workflows • Experience supporting integration, validation, or production ramp of complex datacenter systems.
• Competitive salary • Flexible working hours • Professional development opportunities
Apply Now🕒 November 23, 2025
AI Application Engineer creating functional prototypes for AI-driven solutions at DaCodes. Working remotely in a collaborative environment with a focus on technology and innovation.
🗣️🇪🇸 Spanish Required
Airflow
AWS
BigQuery
Cloud
ETL
JavaScript
Next.js
Node.js
Pandas
Python
React
SQL
TypeScript
Vue.js