
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
🕒 May 14
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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, directly supporting manufacturing, quality, and failure analysis teams to improve product reliability and yield. • Actively establish and nurture technical relationships with internal engineering teams, manufacturing partners, and quality teams. • Identify system failure modes, manufacturing risks, and product requirements to drive corrective actions and design/process improvements. • Frequent on-site presence in labs or manufacturing sites to diagnose, reproduce, and resolve hardware and system-level failures. • Support the product lifecycle from NPI (New Product Introduction) through high-volume manufacturing and field returns, ensuring quality, reliability, and continuous improvement. • Develop failure analysis methodologies, test plans, and diagnostic tools for hardware validation. • Provide technical training and documentation to manufacturing, test, and quality teams on failure modes and debugging techniques. • Establish strong communication channels and collaborative relationships with cross-functional teams (design, validation, manufacturing, and quality) to drive issue resolution, root cause determination, and corrective actions.
• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience) • 5+ years of work-related experience in the high-tech electronics industry, particularly in manufacturing, failure analysis, validation, or hardware debug roles. • Strong ability to manage multiple failure investigations, escalations, and yield improvement initiatives • Expert analytical and problem-solving abilities • Strong time management and organizational skills for coordinating complex failure analysis and cross-functional investigations • Excellent written and oral communication skills in English, with the ability to clearly present failure analysis results and collaborate effectively with cross-functional engineering teams and management
• Health insurance • Flexible work arrangements • Professional development
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
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