דרושים Research Scientist Video Genai Embodied Ai - New College Grad ב-אנבידיה ב-United States, California

What you’ll be doing:

• Develop and test sample applications for chemistry and materials discovery using artificial intelligence.

• Help develop AI first workflows using NVIDIA technology and popular deep learning frameworks.

• Create clear, practical examples and documentation for developers and researchers.

What we need to see:

• Pursuing a PhD in Chemistry, Materials Science, Computer Science, or a related field.

• Familiarity with AI/ML concepts and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).

• Basic understanding of chemistry or materials science principles.

Ways to stand out from the crowd:

• Experience with GPU programming or CUDA and machine learning frameworks such as PyTorch.

• Contributions to open-source projects related to AI or scientific computing.

• Coursework or projects involving AI for scientific applications.

You will also be eligible for Intern

What you'll be doing:

• As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling.

• Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins

• Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency

• You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.

• In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions.

• You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

What we need to see:

• BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with 1+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management.

• Experience with SQL, ETL, and data modeling is crucial

• Hands-on experience with cloud platforms (AWS, Azure, GCP)

• Design and implement highly scalable, fault tolerant distributed database solutions

• Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads

• Excellent knowledge in using statistical tools for data analysis & insights.

• Strong programming and scripting skills in Perl, Python, C++ or Tcl is expected

• Outstanding written and oral communication skills with the curiosity to work on rare challenges.

Ways to stand out from the crowd:

• Experience in data pipeline and database architecture for real-world systems

• Experience in application of AI for EDA-related problem-solving

• Good understanding of technology and passionate about what you do

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment

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:

• Contribute features to vLLM that empower the newest models with the latest NVIDIA GPU hardware features; profile and optimize the inference framework (vLLM) with methods like speculative decoding,data/tensor/expert/pipeline-parallelism,prefill-decode disaggregation.

• Develop, optimize, and benchmark GPU kernels (hand-tuned and compiler-generated) using techniques such as fusion, autotuning, and memory/layout optimization; build and extend high-level DSLs and compiler infrastructure to boost kernel developer productivity while approaching peak hardware utilization.

• Define and build inference benchmarking methodologies and tools; contribute both new benchmark and NVIDIA’s submissions to the industry-leading MLPerf Inference benchmarking suite.

• Architect the scheduling and orchestration of containerized large-scale inference deployments on GPU clusters across clouds.

• Conduct and publish original research that pushes the pareto frontier for the field of ML Systems; survey recent publications and find a way to integrate research ideas and prototypes into NVIDIA’s software products.

What we need to see:

• Bachelor’s degree (or equivalent expeience) in Computer Science (CS), Computer Engineering (CE) or Software Engineering (SE) with 7+ years of experience; alternatively, Master’s degree in CS/CE/SE with 5+ years of experience; or PhD degree with the thesis and top-tier publications in ML Systems, GPU architecture, or high-performance computing.

• Strong programming skills in Python and C/C++; experience with Go or Rust is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel programming, distributed systems, deep learning theories.

• Knowledgeable and passionate about performance engineering in ML frameworks (e.g., PyTorch) and inference engines (e.g., vLLM and SGLang).

• Familiarity with GPU programming and performance: CUDA, memory hierarchy, streams, NCCL; proficiency with profiling/debug tools (e.g., Nsight Systems/Compute).

• Experience with containers and orchestration (Docker, Kubernetes, Slurm); familiarity with Linux namespaces and cgroups.

• Excellent debugging, problem-solving, and communication skills; ability to excel in a fast-paced, multi-functional setting.

Ways to stand out from the crowd

• Experience building and optimizing LLM inference engines (e.g., vLLM, SGLang).

• Hands-on work with ML compilers and DSLs (e.g., Triton,TorchDynamo/Inductor,MLIR/LLVM, XLA), GPU libraries (e.g., CUTLASS) and features (e.g., CUDA Graph, Tensor Cores).

• Experience contributing tocontainerization/virtualizationtechnologies such ascontainerd/CRI-O/CRIU.

• Experience with cloud platforms (AWS/GCP/Azure), infrastructure as code, CI/CD, and production observability.

• Contributions to open-source projects and/or publications; please include links to GitHub pull requests, published papers and artifacts.

What you’ll be doing:

• Building and integrating tools to configure, simulate, and test robots

• Maintain and optimize the existing simulation stack for scalable robot and sensor simulation

• Integrate APIs to support large scale simulator deployments on distributed systems

• Develop microservices, using ZMQ, DDS, RPC, RESTful and other network level communication APIs

What we need to see:

• Pursuing or recently completed BS, MS, PhD (or equivalent experience) in Computer Science, Simulation, or related field

• Experience in systems software engineering

• Excellent C, C++, and Python programming skills

• Flexibility to adapt quickly to varying roles & responsibilities

• Experience with physics simulation, robotics or motion planning & controls

• Excellent interpersonal skills and ability to work optimally with multi-functional teams, principles, and architects across organizational boundaries and geographies

Ways to stand out from the crowd:

• Experience with Isaac Sim, Omniverse, USD, MJCF, URDF, CAD formats

• Background with physical robots, reinforcement learning, synthetic data generation

• Experience with UI/UX for user and developer facing tools

• Background with shipping and supporting software products

• Experience with system level optimization using multi-threading, asynchronous programming, concurrency and parallelism

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.