Medical Scientist 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:

• 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:

• Define top level product strategy, architecture and capabilities by synthesizing input from internal/external applied research/engineering teams and competitive landscape mapping.

• Map the domain specialized foundation model(s) ecosystem and strategize NVIDIA's unique role and contribution to galvanize the entire ecosystem with the right CSP/ISV partners.

• Clearly define use case scenarios and product requirements with specific benchmarks aligned with product goals.

• Coordinate and compose the entire product execution process through technical interactions (architecture building, benchmark reviews, etc) both internally and externally

• Partner with the functional leaders across Engineering, Applied Research, Developer Relations, Marketing and Business Development to create new market opportunities with high value, forward-thinkingClaraopen models and companion platform(s) capabilities.

• Be responsible for building compelling GTMs with product marketers and enable the sales team with strong product value props and benchmarks.

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience)

• 12+ years of product management, or similar, experience at a technology company serving enterprises

• Product Management Experience: Proven track record in product management, particularly within the technology sector, with experience serving large developer ecosystems.Open-source ecosystem development experience highly valued.

• Deep understanding of domain specific AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries especially popular with Medical AI researchers and data scientists

• Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators.

• Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions.

Ways to stand out from the crowd:

• Familiarity with NVIDIA’s AI technology stack, including MONAI, PyTorch, CUDA, TensorRT, Omniverse, Cosmos, NIMs, or more

• Experience in developing and deploying AI solutions in healthcare environments.

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