דרושים Senior Hpc Devops Engineer ב-אנבידיה ב-גרמניה

This is a regional role covering EMEA.

What you’ll be doing:

• Manage team of regional Inception Program Managers, and Inception Partners Managers in Europe.

• Identify startups as Inception Program candidates, ISVs and key VCs for us to work with and evangelize both software and hardware technologies to the technical leaders

• Able to establish the value proposition of NVIDIA technologies to technical heads/leaders

• Support Inception Program communities and attend ecosystem events to recruit Inception members

• Build out startup engagement to develop a deep understanding of their goals, strategies, and technical and business needs

• Support emerging use cases development to help cultivate new industries (e.g. Robotics, Physical AI, Agents)

• Drive adoption of SDKs, monitors status, finger on the pulse and assist the Inception/ISV with Go To Market (GTM) programs to be successful

• Link mature Inception startups to VCs and vis-a-versa based on needs and distribute the vertical-ready mature Startups to the respective IGM/IBD teams

What we need to see:

• Minimum of 6+ years of management experience and 12+ overall years of proven working experience in related fields such as startups, partner/eco-system or VCs management with strong related technical background

• BS/MS/PhD in Computer Science, Engineering or equivalent commercial experience in AI/ML

• Passion for ecosystem development and thrive in dynamic environment with technical members

• Excellent communication skills are a crucial requirement. Candidates must work comfortably with startups, partners and various internal & external teams

• GenAI, Machine Learning and Artificial Intelligence experience is a must.

• Ability to build and lead Inception’s Europe strategy.

Ways to stand out from the crowd:

• Team player, loves to work in a team environment with collaborative approach

• Experience of a leading Technical Business Dev or AI teams in Europe’s ecosystem

• Has good local developer, researcher, engineer landscape understanding

• Has experience sourcing “future founders” with a team before anyone else.

• Proficient in English required but candidates who are multilingual are preferred.

What you'll be doing:

As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community.

What we need to see:

We are looking for engineers who are excited about building powerful, user-centric tools and are comfortable working in a fast-paced, collaborative environment. Here are some of the expertise we would like to see:

• A Bachelor's, Master's, or Ph.D. in Computer Science or a related technical field (or equivalent experience).

• 8+ years of relevant work experience

• A strong command of Python and experience building complex, well-tested software systems.

• Hands-on experience with deep learning frameworks like PyTorch or JAX. You understand how models are built and where the performance challenges lie.

• A solid foundation in compiler concepts such as abstract syntax trees (ASTs), intermediate representations (e.g., SSA form), program analysis, and code generation.

• Excellent communication and collaboration skills, essential for working effectively in a distributed, open-source environment.

Ways to stand out from the crowd:

• Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.

• Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).

• Experience with JAX-like functional transformations and their application in a compiler context.

• Familiarity with parallel programming, distributed systems, and writing high-performance CUDA code.

• A track record of impactful participation in open-source communities, such as through code contributions, design discussions, or mentorship.

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.

What you will be doing:

• Join the Developer Tools team as a senior software engineer to work on software such as Nsight Systems.

• Extend the graphical user interface to implement new features that help our users understand the increasing amounts of complex data.

• Design and implement product features that would help visualize and explain the performance data collected on clusters and in cloud environments.

• Implement new pieces of user interface in HTML and JavaScript, migrate existing UI from C++ and Qt to web technologies, maintain and extend existing features.

• Help introduce a new data-driven approach to UI development, and work with the team to help adopt it.

• Communicate across multiple teams to collect and understand the requirements. Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users. Participate in all phases of the software feature development life cycle.

• Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.

• Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.

What we need to see:

• BS or MS in EE, CE, CS, Systems Engineering.

• 4 years of experience in a related software position.

• Excellent problem solving, collaborative, and interpersonal skills. Experience working in distributed teams is welcome.

• Strong web frontend skills and experience with HTML, CSS, and JavaScript.

• Attention to details, and ability to design and implement reasonable changes in user experience.

• Strong understanding of algorithms and computer architecture.

• Basic experience with C++ and its ecosystem.

Ways to stand out from the crowd:

• Experience with Qt Widgets.

• Practice with GPUs, CUDA, HPC, clusters, networking, and performance optimization in distributed environments.

• Work experience with Python and data analysis, for example in Jupyter Notebook and with Pandas.

• Experience with modern frontend development in TypeScript and frameworks such as React.

• Ability in designing user interfaces and taking care of the user experience.

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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