We are now looking for an AI Developer Technology Engineer Intern, CUDA. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films.

Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.” Come join a team full of world-class computer scientists to work in its Compute Developer Technology team as an AI Developer Technology Engineer.

What You Will Be Doing

• Work and develop state of the art techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
• You will provide the best AI solutions using GPUs working directly with key customers
• Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
  
  

What We Need To See

• Available to work as intern for at least 3 months+, 3 days per week
• Pursuing MS or PhD from a leading University in an Engineering or Computer Science related discipline and will graduate in 2027
• Strong knowledge of C/C++, software design, programming techniques, and AI algorithms
• Experience with parallel programming, ideally CUDA C/C++
• Good communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills
  
  

NVIDIA is committed to fostering a diverse 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.

#deeplearning

p>We are now looking for a Senior Security Validation Architect for Networking AI Platforms! NVIDIA is seeking an outstanding security architect with deep expertise in security validation and advanced testing methodologies to help design, build, and guide secure validation across our next-generation products. The candidate is expected to deliver highly innovative validation and verification solutions that lead to significant industry differentiation and help achieve the long-range goals of the Security organization. Leaders in this role will strengthen NVIDIA’s Data Center and networking products against emerging threats while driving adoption of future-proof security validation technologies./p>p>/p>p>b>What you’ll be doing:/b>/p>ul>li>p>Defining and driving implementation and adoption of security validation strategies across NVIDIA’s networking platforms security solutions—spanning Silicon, Firmware, and System levels./p>/li>li>p>Designing frameworks and automation flows to test and verify security functionality during product QA, large-scale manufacturing, and in-field operation./p>/li>li>p>Collaborating with architecture, design, and product engineering teams to ensure robust verification coverage for hardware roots of trust, secure boot, key provisioning, and cryptographic services./p>/li>li>p>Driving development of advanced validation and debugging tools capable of detecting complex security anomalies, misconfigurations, and behavioral deviations across systems./p>/li>li>p>Building and maintaining an end-to-end visibility architecture for security validation metrics, enabling continuous trust across the product lifecycle./p>/li>/ul>p>/p>p>b>What we need to see:/b>/p>ul>li>p>B.Sc., M.Sc. in Computer Engineering, Electrical Engineering, or Computer Science, or equivalent experience./p>/li>li>p>7+ years of experience in system-level validation, test development, or security verification within complex hardware/software products./p>/li>li>p>Deep understanding of system security concepts such as secure boot, attestation, cryptographic key management, and trusted hardware./p>/li>li>p>Strong background in embedded or distributed systems testing, including familiarity with firmware, OS, and system manufacturing flows./p>/li>li>p>Proven experience in working with hardware security components/p>/li>li>p>Hands-on experience with test automation frameworks, scripting (Python/Go/C++), and debugging of complex systems./p>/li>li>p>Excellent analytical, problem-solving, and communication skills./p>/li>/ul>p>/p>p>b>Ways to stand out from the crowd:/b>/p>ul>li>p>Experience applying AI/ML methods for test generation, anomaly detection, or system debugging./p>/li>li>p>Familiarity with secure manufacturing, HSM-based provisioning, or supply chain security validation./p>/li>li>p>Experience with formal verification tools and Good understanding of DFT including Scan/ATPG/BIST/JTAG/p>/li>li>p>Contributions to open-source validation frameworks or industry standards./p>/li>li>p>Ph.D. in Computer Engineering, Electrical Engineering, or Computer Science/p>/li>/ul>p>/p>p>With highly competitive salaries and a comprehensive benefits package, NVIDIA 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 on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you./p>p>/p>p>NVIDIA is committed to fostering a diverse 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./p>p style="text-align:inherit">/p>p style="text-align:inherit">/p>p style="text-align:inherit">/p>p style="text-align:inherit">/p>

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