דרושים Nvidia Internships Systems Software Engineering ב-אנבידיה ב-ארהב

You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.

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 we need to see:

• MS or PhD degree in Electrical Engineering, Computer Science or equivalent experience.

• Minimum of 8 years relevant experience

• We require proven theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding

• We seek deep expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms design and optimizations

• Experience with wireless algorithm performance characterization and analysis

• Wireless base station design, development, and commercialization experience

• Experience building system models with Matlab, C/C++ and/or Python for algorithm design and link-level simulation

• Solid knowledge of 3GPP 5G NR standard

• Strategic context of Telecom Industry and Wireless technology evolution

Ways to stand out from the crowds:

• Research experience in AI/ML and its applications to wireless applications

• Demonstrated experience in software development for commercial RAN products

• Knowledge of SIMD computing architecture

• Background of GPU or CUDA programming

• Knowledge of Wireless Protocols and E2E Deployment Architecture

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:

• Study and explore innovative techniques in bioinformatics, graph algorithms, machine learning, develop, deploy, and deliver brand-new computing software for a diverse array of bioinformatics applications used globally

• Perform detailed performance analysis and optimization to ensure optimal performance on current and next-generation GPU architectures.

• Collaborate with lighthouse clients and academic collaborators to understand their current and future challenges and provide outstanding HPC solutions.

• Collaborate closely with hardware engineering, CUDA engineering, and AI research groups to apply the latest technology to enable novel genomic analysis at scale.

What We Need to See:

• Bachelor's / Master's degree in Computer Science, a related technical field, or equivalent experience.

• 5+ years of experience n related field.

• Solid understanding of C/C++, CUDA, software design, and programming techniques.

• Experience with the design and implementation of sophisticated algorithms and data structures.

• Experience with GPU programming, debugging and performance tuning on NVIDIA GPUs.

• Knowledge and understanding of parallel programming, thread programming, concurrency control, memory management and scalability.

• Strong understanding of computer system architecture and operating systems.

Ways To Stand Out from the Crowd:

• Hands-on experience in using LLM, Graph Neural Network, Graph Transformer Network particularly those applied to genomics data.

• Strong collaborative and interpersonal skills to effectively guide and influence within a multifaceted, technical environment.

• Breaking a sophisticated problem to smaller modules that are fairly independent.

What you'll be doing:

• Develop responsive and user-friendly web applications using Angular, HTML, CSS, andJavaScript/TypeScript.

• Apply state-of-the-art UX design patterns to create responsive, visually stunning, and highly interactive interfaces.

• Optimize application performance, ensuring fast loading times and smooth user interactions.

• Conduct usability testing and gather feedback to continuously improve the user experience.

• Collaborate with product managers and design teams to understand user requirements and translate them into appealing and intuitive user interfaces.

• Interact with backend developers to integrate APIs and ensure seamless data flow between the frontend and backend.

• Deliver quality code and re-usable assets that can be easily consumed to drive consistency across products.

What we need to see:

• BS degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

• 2+ years of experience in architecting, designing, and building highly scalable interactive web applications using Angular.

• Proficiency in UX (user experience) and UI (user interface) design principles, and techniques with the ability to apply them to create visually appealing and user-friendly interfaces.

• Strong background in HTML5, CSS3, andJavaScript/Typescript.

• Comfortable working in a fast-paced, highly collaborative environment.

• Strong verbal and written communication skills to collaborate and work effectively within a team.

Ways to stand out from the crowd:

• Knowledge of version control systems (e.g., Git) and experience with agile development methodologies.

• Familiarity with RESTful APIs and asynchronous programming concepts.

• Knowledge of Linux networking and understanding of networking concepts and protocols.

• Experience in safeguarding against common threats such as XSS, JS Injection, SQL Injection, Token/Session exploitation

• Excellent programming and problem-solving capabilities.

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