דרושים System Software Engineering Intern Autonomous Vehicles - 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:

• Design and implement new features to accelerate Network and Storage in the Kubernetes echo system

• Work closely with open source communities, participate in the relevant working groups

• Work with different teams across NVIDIA

What we need to see:

• BSc in Computer Science or equivalent program

• 6+ years of hands-on experience in software development, preferably with Golang

• Highly motivated with strong communication skills, the ability to work successfully with multi-functional teams, developers, and architects

• Coordinate effectively across organizational boundaries and geographies

• Strong self-initiative, independence, and flexibility to a new technology

• Deep understanding of network protocols, virtualization, and containers

• Strong background in designing, implementing, and debugging complex software

• Vast hands-on experience with Kubernetes or OpenStack echo systems

Ways to stand out from the crowd:

• Experience with working on open source projects

• Background with SR-IOV, DPDK, ROCE technologies

• Experience in developing Kubernetes Operators, CSI plugins and CNI Plugins

What you will be doing:

• Help build out and scale customer-facing APIs and systems for the DGX Cloud Kubernetes Platform

• Work with the Runtime and Cluster Architecture teams to provide a complete GPU-accelerated Kubernetes clusters to a wide variety of NVIDIA initiatives

• Be the voice of our customers to ensure they have a smooth experience to access the compute they need for the workloads they want

• Build platform services for other NVIDIA developers to bring their services to NVIDIA Kubernetes clusters

What we need to see:

• BS/MS in Computer Science or related field (or equivalent experience).

• 8+ years of relevant work experience.

• Experience in building foundational SaaS systems at scale, such as API design, user management, or authentication and authorization flows

• Proficiency in Go and building Go services at scale

• Experience with deploying and maintaining services atop Kubernetes

• Experience writing automation with Kubernetes (i.e. Controllers,CustomResourceDefinitions,etc.)

• Background with AWS or GCP and related technologies like S3, GCS, RDS, etc.

• Ability to solve issues across multiple layers: infrastructure, Kubernetes, application runtime

• Communicate effectively across a big organization, both within and outside the Kubernetes Platform organization

Ways to stand out from the crowd:

• Experience working on internal tools and services for large engineering organizations

• Experience working across multiple layers of cloud infrastructure such as CSP APIs, Terraform, Kubernetes, and custom controllers and automation atop

• Experience working deeply in and with the upstream Kubernetes apiserver code

• Background with user-facing APIs with a focus on customer and/or developer experience

What you will be doing:

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

• Design and implement new communication technologies to accelerate AI and HPC workloads.

• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

What we need to see:

• M.S./Ph.D. degree in CS/CE or equivalent experience.

• 3+ years of relevant experience.

• Excellent C/C++ programming and debugging skills.

• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).

• Deep understanding of operating systems, computer and system architecture.

• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.

• Strong experience with Linux.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.

• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.