דרושים Applied Research Phd Intern Retriever - ב-אנבידיה ב-גרמניה

What you'll be doing:

• Crafting and building the next generation of AI-based developer tools for in-depth performance on GPUs.

• Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the word.

• Gain exposure to a wide range of NVIDIA technologies, including GPU Hardware, CUDA compilers/drivers, and developer tools software.

What we need to see:

• Pursuing a Master's or higher degree in Computer Science or Computer Engineering.

• Strong programming skills with Python and C++.

• Completed coursework or possesses foundational knowledge in developing AI assistants.

Ways to stand out from the crowd:

• Familiarity with tool-calling integrations into AI pipelines and agentic systems.

• Skills in CUDA kernel programming, profiling, and targeting GPU hardware.

• Outstanding interpersonal skills and ability to work effectively as a great teammate.

• Highly motivated to apply our knowledge and eager to learn new skills in a fast-paced environment.

November 29, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

What you’ll be doing:

• Design and implement novel algorithms that enhance the real-to-sim quality, using state-of-the-art reconstruction and generative techniques.

• Optimize the reconstruction training and rendering runtime towards speed of light.

• Contribute to a large codebase, combining Python and CUDA.

• Close collaboration with experienced engineering and research team members.

• Contribute to NVIDIA NuRec and other core NVIDIA products and libraries.

• Publish and present results in internal or external conferences and articles.

What we need to see:

• Pursuing MS or PhD in Computer Science, Computer Engineering, or a related area with a focus on computer graphics, computer vision, or machine learning.

• Hands-on technical knowledge on Neural Reconstruction, and Generative Models such as image and video diffusion models.

• Proven experience with Python and Pytorch as well as CUDA/Slang.

• Strong experience in robotic systems such as autonomous vehicles or humanoid robotics.

• Good software engineering fundamentals (source control, testing/validation, containerization).

• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product- and research-focused team.

Ways to stand out from the crowd:

• Strong coding architecture skills showed by contributing to large internal or open source projects.

• Experience with performance analysis and optimization, particularly for GPU-accelerated workloads is a plus.

• Experience with advanced CUDA development and optimization for graphics or vision applications.

• History of multi-disciplinary creativity and innovation (for instance, experience with hardware + software projects in graphics or robotics).

November 29, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

What you will be doing:

• In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

• Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

• Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

• Currently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree.

• Programming fluency in C/C++ with a deep understanding of algorithms and software development.

• A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

• Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.

Ways to stand out from the crowd:

• Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

• Excellent understanding of linear algebra.

What you'll be doing:

• Develop an MCP tool to analyse microservices logs.

• Build and extend log-analysis capabilities for large-scale microservice deployments.

• Create an AI Agent to orchestrate troubleshooting across multiple microservices.

• Integrate the MCP log-analysis tool into an autonomous agent.

• Automate triage, root cause analysis, and cross-service incident workflows.

• Implement observability and feedback loops for safe operation in production.

• Evaluate and compare ReFRAG, R2R, and other retrieval/agent methods.

• Design experiments to measure performance, cost, and reliability of competing approaches.

• Propose new architectures and approaches.

What we need to see:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.

• Strong programming fundamentals in at least one of: Python (preferred for AI frameworks), or Go.

• Solid understanding of data structures, algorithms, and API design.

• Basic knowledge of machine learning concepts, especially retrieval-based or agent-based architectures.

• Familiarity with Git, databases (SQL/NoSQL/Vector) and data pipelines.

• Strong problem-solving skills and eagerness to learn new technologies.

• Excellent communication and ability to work effectively in a team environment.

Ways to stand out from the crowd:

• Experience with RAG pipelines, vector databases, embeddings, or LLM orchestration.

• Exposure to MCP tools or multi-tool agent frameworks (Lang* stack preferably).

• Knowledge of containerization (Docker) and orchestration (Kubernetes).

• Familiarity with infrastructure automation.

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What you'll be doing:

• Write automation scripts for game content patching and installation.

• Maintain a list of supported games and onboard new games to meet customer needs.

• Write configurations for supported games for our AI-based service, verify results, and provide them to customers.

• Participate in reverse-engineering efforts to find reliable methods for detecting new game updates and implementing patches.

• Communicate with engineers from different teams across the globe.

What we need to see:

• Python programming experience

• Currently studying towards BSc or MSc in Computer Science, Mathematics or related field

• Experienced Windows user

• Can-do attitude and able to work with minimum supervision

• English verbal and written communication skills to best collaborate with coworkers

Ways to stand out from the crowd:

• Contributions into open source projects, public pet projects

• Experience with automation or game modding

• Reverse engineering experience

• Passion for gaming