Nvidia Internships Phd Hardware Research jobs at Nvidia

What you'll be doing:

• Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language

• Design new large scale training algorithm

• Open-source models using NeMo conversational AI frameworks

• Mentor interns

• Publish research papers on top speech and NLP conferences

• Collaborate with universities and research teams.

What we need to see:

• PhD in Computer Science or Electrical Engineering (or equivalent experience)

• Proven understanding of Deep Learning for Natural Language Processing or Speech Recognition

• At least 5 years of research experience in speech recognition or NLP

• Excellent Python programming skills

• Experience with PyTorch

• Strong publications record

Ways to stand out from the crowd:

• Contribution to open-source projects

• Being reviewers for one of the top speech conferences

As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You'll work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life.

What you'll be doing:

• Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models

• Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems

• Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training

• Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models

• Author influential research papers to share your groundbreaking discoveries with the global AI community

• Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers

• Build lasting impact by facilitating technology transfer and contributing to open-source initiatives

What we need to see:

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

• Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development

• Strong foundation indiffusion, vision language and reasoning models and their applications

• Proven experience with reinforcement learning algorithms and implementations

• Robust knowledge of physics simulation and its integration with AI systems

• Demonstrated proficiency in 3D generative models and their applications

Ways to stand out from the crowd:

• Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)

• Experience with large-scale distributed training systems

• Background in robotics or physical systems

• Open-source contributions to prominent AI projects

• History of successful research-to-product transitions

We, the

What you’ll be doing:

• Decompose research questions into smaller, more manageable parts and tackle them in iterative steps.

• Think critically to identify unseen gaps, and creatively bridge them with non-traditional, high-impact solutions.

• Connect with researchers and product engineers to ground research findings in real-world problems.

• Lead knowledge dissemination effort, with options for conference, journal, and in-house publication.

What we need to see:

• Currently pursuing a Ph.D. in the field of Computer Science/Engineering, Electrical Engineering, or related fields.

• Experience in gaming and/or human behavior in related application domains, demonstrated by one or more lead-author publications.

• Examples of public portfolios (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).

• Proficiency with Python, Rust, and/or C++.

• Experience with AI model training and evaluation frameworks, like PyTorch.

• Comfortable with modern software development and version-control systems (e.g., GitHub/lab).

• Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).

• Strong understanding of deep learning fundamentals and recent trends.

Ways to stand out from the crowd:

• Experience with multi-node, multi-GPU training and inference workflows.

• Proficiency in crafting, implementing, and conducting behavioral experiments involving human subjects and interactive visual stimuli.

• Experience with quantitatively modeling human perception, movement, and decision-making.

• A track record of applying human behavior models to machine learning applications.

You will also be eligible for Intern

What you'll be doing:

• Leading the end-to-end product lifecycle, from new features to supporting new AI platforms, delivering multiple releases per year.

• Collaborating with cross-functional teams, including engineering, marketing, and sales, to successfully implement product strategies and roadmaps.

• Writing clear requirements, user stories, and compelling user experiences to ensure a quality product.

• Managing release schedules and coordinating with development teams to ensure timely delivery of enterprise software products.

• Applying sophisticated product management software to monitor progress, track metrics, and report on the success of product initiatives.

What we need to see:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

• Minimum of 8 years of experience in software product management.

• Extensive hands-on experience with compute, network, and storage technologies.

• Proven proficiency in release management strategies and adept utilization of product management software tools.

• Proven written and verbal communication skills. Ability to effectively connect with technical and non-technical stakeholders.

• Leadership skills! Remove obstacles. Resolve ambiguity. Comfortable presenting and defending your fact-based opinion or recommendation.

Ways to stand out from the crowd:

• Hands-on experience with NVIDIA Base Command Manager or Bright Cluster Manager

• Experience as an SRE, datacenter operator, infrastructure manager

• Experience with high-performance computing

• Background with Software Development Life Cycle

We, the

What you’ll be doing:

• Decompose research questions into smaller, more manageable parts and tackle them in iterative steps.

• Think critically to identify unseen gaps, and creatively bridge them with non-traditional, high-impact solutions.

• Connect with researchers and product engineers to ground research findings in real-world problems.

• Lead knowledge dissemination effort, with options for conference, journal, and in-house publication.

What we need to see:

• Currently pursuing a Ph.D. in the field of Cognitive Science, Neuroscience, Computer Science/Engineering, Electrical Engineering, or related fields..

• Experience in cross-disciplinary research that applies knowledge from human vision to drive innovations in AI and computer vision, demonstrated by one or more lead-author publications.

• Proficiency with Python.

• Experience with AI model training and evaluation framework PyTorch or similar.

• Comfortable with modern software development, version-control systems, like git(hub/lab).

• Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).

• Strong understanding of deep learning fundamentals and recent trends.

Ways to stand out from the crowd:

• Prior work applying human vision science to machine learning and computer vision.

• Proficient in crafting, implementing, and conducting behavioral experiments involving human subjects and interactive visual stimuli.

• Experience with quantitatively modeling human perception, cognition, movement, and/or decision-making.

• Background with multi-node, multi-GPU training and inference workflows.

You will also be eligible for Intern

What you’ll be doing:

• You get the benefit of working with leaders across the NVIDIA organization in the NVIDIA leadership program in an apprenticeship model that will build you into a future senior business leader.

• Lead and complete short and long-term projects across a rotation of industries and product segments, working with leaders as a part of their team for an agreed timeframe. After several years, you will transfer over to one of these industries or a segment team full time.

• Planning and producing sales assets, marketing deliverables, and positioning crucial to educate companies on the necessity and value of artificial intelligence. Deliverables may include a combination of analytics (e.g., financial models), whitepapers (e.g., customer success stories), keynote presentations, and field enablement (e.g., sales decks).

• Help industry teams articulate their business development strategies to the CEO and WWFO Leadership

• Assist the CEO’s core team to articulate major customer and partnership announcements at global AI events!

• Helping to run the cadence of ongoing executive meetings for a very fast-paced sales environment.

• Develop domain expertise in chosen industries - able to meet, present, and partner with customer execs and developers on their issues, talk at the EBC, and run enablement training.

What we need to see:

• Bachelor's degree in a related business or technical subject or equivalent experience.

• 8+ years' work experience - at major consulting firms, OEM, CSP, ISV, or startup.

• A positive, can-do attitude with deep curiosity in NVIDIA tech-stack & AI

• Good cultural fit-focused, able to listen, understand and answer the question; looking for the best way to solve the problem at the speed of light, etc..

• Ability to Influence and motivate cross-functional teams to execute GTM initiatives, align around shared goals, and get results in fast-moving, complex environments.

• Excellent interpersonal, organizational, written, and verbal communication skills; able to quickly learn, distill, and synthesize complex subjects into clear, actionable insights.

• High tolerance for change, able to pivot, and deliver against many opinions.

• Works well in highly outstanding, matrixed organization where the mission matters more than the org chart.

• Power user with knowledge of AI LLMs, internet and office apps.

Ways to stand out from the crowd:

• Evidence of dedication to prioritizing multiple projects, relationships, and learning to adapt quickly to need.

• A real passion for getting things done in multifaceted sales and technology environment.

• Excellent interpersonal, organizational, written, and verbal communication skills; able to quickly learn, distill, and synthesize complex subjects into clear, actionable insights.

• Post-graduate or equivalent experience in a relevant field (e.g. MBA, computer science).

What you'll be doing:

• Lead and develop quantum computing developer and ISV strategy with cross functional teams: Product, Engineering, Applied Research.

• Manage and grow a team of excellent Developer Relations Managers

• Lead strategic relationships

• Evangelize and directly engage target collaborators.

• Discover high impact problems NVIDIA can uniquely solve that create new market paradigms.

• Drive early adoption of new products and support launch and go-to-market activities.

• Host developer and customer evangelism events: meetups, hackathons, lectures.

• Speak at relevant scientific, technical and industry conferences.

What we need to see:

• Bachelors Degree or equivalent experience in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field (Ph.D. or Masters preferred).

• Overall 8+ years experience with extensive background in Quantum Information Science and 5+ years experience in the Quantum Computing industry.

• Meaningful experience in a technical leadership role.

• World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Ways to stand out from the crowd:

• Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning.

• Background in software development. Bonus points for scientific software development experience.