Nvidia Internships Phd Hardware Research jobs at Nvidia

What you'll be doing:

• Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research

• Develop novel approaches to quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis

• Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others

• Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware

• Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

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

• Extensive background in Quantum Information Science with 8+ overall years of experience in the Quantum Computing industry

• A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance

Ways to stand out from the crowd:

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

• Experience with co-design of quantum error correction with quantum hardware or quantum applications

• Experience with CUDA and NVIDIA GPUs

• Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conduct original research in the space of generative AI

• Implement and train large-scale generative AI models for various content creation applications

• Collaborate with other research team members, a diverse set of internal product teams, and external researchers

• Have a broader impact through the transfer of the technology you've developed to relevant product groups

What we need to see:

• Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).

• 5+ years of relevant research experience.

• Excellent collaboration and interpersonal skills

• Excellent python/C++ programming skills

• Great knowledge of common deep-learning frameworks

• Experience in processing or curating large-scale datasets

• Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics

• Track record of research excellence or significant product development

What you'll be doing:

• Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research

• Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware

• Research and co-design improved methods to achieve more scaled decoders

• Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware

• Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

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

• Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry

• A demonstrated ability to deliver high impact value in quantum error correction and decoding

Ways to stand out from the crowd:

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

• Experience with co-design of quantum error correction with quantum hardware or quantum applications

• Experience with CUDA and NVIDIA GPUs

• Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

ATE/SLT hardware team provides the interface hardware of IC package testing at final test and system level test. Hardware includes highly custom high-speed sockets, active thermal plungers, and load boards. Take an active role in hardware design for both product bring-up and HVM, design and manufacture improvement, and verification/debug, to production support.

What you’ll be doing:

• Review and approve the design of test socket, thermal plunger, and other accessories related to ATE/SLT IC testing for product bring-up and production.

• Provide ATE and SLT test fixture/HW solutions from design, manufacturing order, schedule monitoring, verification, and improvement.

• Drive ATE and SLT socket/thermal technology, solutions, and qualifications.

• Drive DOE with a sense of responsibility from collecting and analyzing engineering data and making decisions and recommendations for improvement.

• Provide cross-functional support.

• Drive a project and host a meeting internal and external stakeholders.

• Apply strong hardware troubleshooting and root-cause analysis. Possess the ability to provide preventive actions.

• Able to debug ATE/SLT hardware setup such as socket, thermal plunger, PCB, chiller, and handler.

• Require on-duty lab support. Weekend support may be necessary.

What we need to see:

• Bachelor’s degree or equivalent experience is required. EE and ME related degrees are preferred.

• 5 plus years of IC testing engineering and ATE/SLT hardware engineering experience.

• Having test socket knowledge is a strong plus. Familiar with test socket mechanics, footprints, and contact pins.

• Fully capable of understanding mechanical drawings and knowing mechanical and electrical circuit knowledge.

• Have IC testing knowledge of ATE/SLT interface hardware, maintenance, troubleshooting, and repairs. (Socket, load board, thermal plungers)

• Having ATE tester knowledge is a plus.

• Proven troubleshooting skills and ability to provide solutions and prevent reoccurrence.

• Willing to conduct hands-on-work such as socket pin repair, electric wire, and tiny capacitor/resistor.

• Able to lift 30 pounds load board during unboxing, boxing, and a short transportation.

• Have the knowledge of prevention and control of electrostatic discharge (ESD)

What you'll be doing:

• Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research

• Develop novel approaches to quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis

• Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others

• Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware

• Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

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

• Extensive background in Quantum Information Science with 12+ overall years of experience in the Quantum Computing industry

• A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance

Ways to stand out from the crowd:

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

• Experience with co-design of quantum error correction with quantum hardware or quantum applications

• Experience with CUDA and NVIDIA GPUs

• Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

What you’ll be doing

• Designing and training large-scale machine learning models at the intersection of genomics, proteomics, and chemistry

• Experimental design for probing the capabilities and limitations of the foundation models that are developed

• Mentoring other team members, leading research initiatives, and helping to craft strategic roadmaps

• Working closely with hardware and software teams to improve NVIDIA’s platforms for large-scale foundation model applications

• Engaging with the broader research community via publications, presentations, and research collaborations

What we need to see:

• PhD (or equivalent experience) in Computer Science or Computational Biology

• 4+ years in deep learning, bioinformatics, chemical engineering, structural biology, or related fields.

• Track record of excellence in engineering and research

• Deep understanding of modern AI techniques: deep learning for sequences, diffusion models, LLMs, unsupervised learning. Hands-on practical know-how of how to design, train, and evaluate large neural networks.

• Excellent software engineering and design instincts in Python, C++, or similar.

• Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields

What you'll be doing:

• Performing physical layout for mixed-signal functions like PLL's, high speed SerDes, Analog to Digital converters, ESD structures designs in groundbreaking sub-micron CMOS technologies using Cadence tools.

• You'll work cross functionally with ASIC and mixed-signal engineers to customize designs for integration in VLSI products.

• Take part in floor planning, custom layout and verifying against design rules and schematics.

What we need to see:

• Have a BSEE or equivalent experience.

• Minimum of 7+ years proven experience in Mask and Layout Design.

• Deep understanding of analog circuit layout concepts in submicron CMOS technologies.

• You are an authority with Cadence custom circuit design tools - particularly virtuoso.

• Experience running and debugging with verification tools such as Dracula, Hercules, Calibre, and Primeyield.

• You are able to work optimally in a team, good interpersonal skills, passion and positive energy.

• Proficient in scripting languages like perl, python, skill etc.

• Should have knowledge of DRC and LVS checking flows, ability to customize decks.