דרושים Deep Learning Engineer - Llms Diffusion Models ב-אנבידיה ב-שוויץ

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.

• 5+ 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:

• Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA.

• Contribute new features and optimisation techniques.

• Develop compiler SW that is optimised for performance.

• Be part of a team that is at the centre of AI, HPC and data centre technologies.

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent with minimum 3 years of work experience

• Experience with compiler development or a related academic or project.

• Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules.

• Strong hands-on C++ programming skills

• Excellent verbal and written communications skills

Ways to stand out from the crowd:

• Familiarity with CPU architectures such as x86_64, PPC, RISC-V, Arm Architecture (AArch32, AArch64) or DSPs.

• Familiarity with industry standard compiler infrastructure such as LLVM and / or GNU Toolchain

• Knowledge of AI algorithms, scientific HPC applications and related code optimisations.

• A track record of contributing to open source compiler communities.

What you'll be doing:

You will play a crucial role in ensuring the success of the Omniverse on DGX Cloud platform by helping to build our deployment infrastructure processes, creating world-class SRE measurement and creating automation tools to improve efficiency of operations, and maintaining a high standard of perfection in service operability and reliability.

• Design, build, and implement scalable cloud-based systems for PaaS/IaaS.

• Work closely with other teams on new products orfeatures/improvementsof existing products.

• Develop, maintain and improve cloud deployment of our software.

• Participate in the triage & resolution of complex infra-related issues

• Collaborate with developers, QA and Product teams to establish, refine and streamline our software release process, software observability to ensure service operability, reliability, availability.

• Maintain services once live by measuring and monitoring availability, latency, and overall system health using metrics, logs, and traces

• Develop, maintain and improve automation tools that can help improve efficiency of SRE operations

• Practice balanced incident response and blameless postmortems

• Be part of an on-call rotation to support production systems

What we need to see:

• BS or MS in Computer Science or equivalent program from an accredited University/College.

• 8+ years of hands-on software engineering or equivalent experience.

• Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security.

• Expertise in Kubernetes (K8s) & KubeVirt and building RESTful web services.

• Understanding of building AI Agentic solutions preferably Nvidia open source AI solutions. Demonstrate working experiences in SRE principles like metrics emission for observability, monitoring, alerting using logs, traces and metrics

• Hands on experience working with Docker, Containers and Infrastructure as a Code like terraform deployment CI/CD.

• Exhibit knowledge in concepts of working with CSPs, for example: AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc...), Azure etc.

Ways to stand out from the crowd:

• Expertise in technologies such as Stack-storm, OpenStack, Redhat OpenShift, AI DBs like Milvus.

• A track record of solving complex problems with elegant solutions.

• Prior experience with Go & Python, React.

• Demonstrate delivery of complex projects in previous roles.

• Showcase ability in developing Frontend application with concepts of SSA, RBAC

What You'll Be Doing:

• Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors

• Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components

• Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology

• Discussing and refining software designs and implementation strategies with peers

• Improving processes and infrastructure to accelerate our development

What We Need To See:

• Bachelors Degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred), or equivalent experience

• 5+ years of experience

• Ability working on large-scale software projects, and a proven track record of building performant and robust production software

• Proficiency in GPU-programming and a solid understanding of performance profiling, multi-processor systems, and compiler fundamentals

• Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges

• Strong communication and collaboration skills

• Extensive knowledge about quantum computing hardware and control systems and/or prior experience implementing optimization and code generation components for various quantum computing architectures

• A passion for system designing and a focus on improving extensibility

• Familiarity with FPGA programming and HDLs

• Deep understanding of compiler toolchains, specifically LLVM/MLIR

What you will be doing:

• Engage with our partners and customers to root cause functional and performance issues reported with NCCL

• Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters

• Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)

• Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters

• Document and conduct trainings/webinars for NCCL

• Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

What we need to see:

• B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)

• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

• Experience working with engineering or academic research community supporting HPC or AI

• Practical experience with high performance networking:Infiniband/RoCE/Ethernetnetworks, RDMA, topologies, congestion control

• Expert in Linux fundamentals and a scripting language, preferably Python

• Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible)

• Adaptability and passion to learn new areas and tools

• Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:

• Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments

• Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow

• Deep understanding of technology and passionate about what you do

As a Senior Robotics Software Engineer on the Isaac Applications Team, you will help build the platform for Physical AI robots — enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong software engineering skills for (soft) realtime robotics applications and real-world experience with multi-body robots, such as humanoids or quadrupeds.

What You Will Be Doing

• Bring the latest advancements in Physical AI to simulated and real humanoid robots by building the humanoid reference platform showcasing the power of NVIDIA's technology.

• Collaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac Gr00t, and Isaac Sim/Lab into one solution for humanoid robots.

• Take on a variety of challenges, bridging between research and commercial environments.

• You will be deploying and testing your software on real robots in the lab.

What we need to see:

• Master's degree in Robotics, Computer Science, Engineering, or a related field, or equivalent experience.

• 5+ years of experience.

• Proven experience in designing and building real-time robotics software stacks.

• Demonstrated success in bringing robotics solutions from lab to launch, with direct involvement in implementation and deployment.

• Proficiency in Python, C++, PyTorch, CUDA, and middleware. Willingness to learn new languages and tools as needed.

• Ability to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies and platforms.

• Strong problem-solving skills and the ability to determine the best approach to complex challenges.

• Excellent communication skills and a collaborative approach to working effectively with diverse teams.

Ways to Stand out from The Crowd:

• Familiarity with NVIDIA robotics products such as Jetson, Isaac Gr00t, Isaac ROS and Isaac Sim/Lab.

• Experience with Machine Learning / Reinforcement Learning.

• Experience with Bazel.