Research Technician jobs

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:

• Set up and operate AV systems (audio, video, lighting, networking) for live broadcasts, keynote presentations, executive addresses, and corporate events.

• Prepare, test, schedule, and engineer live streaming to platforms including YouTube, Twitch, LinkedIn, and hybrid events using vMix, Teams, Zoom, and Kaltura.

• Engineer and operate broadcast equipment: video switchers, digital audio consoles, routers, servers, graphics systems, LED walls, and camera systems.

• Use AV-over-IP protocols (e.g., Dante, MADI, SMPTE ST 2110, NDI) and manage digital video standards (EDID, resolutions, frame rates, color depth, codecs).

• Provide technical support for Tier 1-3 events (Flagship GTC, Speaking engagements with our Executive team, and major product launches), both in-person and hybrid formats.

• Maintain AV lab and inventory: systematic equipment organization, logging, maintenance, and detailed tracking through Google/SharePoint systems.

What we need to see:

• 3+ years professional AV experience, including live broadcast, event production, and concert or touring environments (bonus for those with large venue experience!).

• Bachelor’s degree or equivalent experience.

• Proficiency across Audio systems: Yamaha digital mixers, Shure microphones, Clearcom/Freespeak intercom, professional line arrays. Proficiency across Video systems: Barco E2, Christie Spyder X80, Black Magic Atem, broadcast mixing systems.

• Working knowledge of AOTO, ROE, Absen, InfiLED LED walls, Megapixel and Brompton processors.

• Background with Lighting systems: Chamsys, GrandMA, Hog, Moving light fixtures, concert-level lighting rigs and studio environments.

• Proficiency with Streaming systems: live streaming hardware/software.

• Experience working in hotels, conference centers, corporate theaters, and large-format venues.

• Outstanding verbal/written communication and presentation skills.

• Ability to travel domestically and internationally up to 40%, including eventsetup/support/teardown(up to 14 days at a time).

• Possess an active CA driver’s license and able to frequently lift objects over 40lbs.

Ways to stand out from the crowd:

• Experience within the NVIDIA ecosystem of products and services.

• Live event touring experience (large venue)

• Corporate theater and high-end staging background

• Familiarity with emerging audiovisual technology trends

• Proactive, determined, and resourceful approach—motivated to independently solve problems and deliver results. Strong organizational and time management skills. Outstanding ability to solve complex problems under pressure.

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

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