Senior Solution Architect, AI Compute Engineer - NVIS
现在,我们正在利用人工智能来定义下一个计算机时代的无限潜力。我们的 GPU 作为能够理解世界的大脑,机器人和自动驾驶汽车的时代。做以前从未完成过的事情需要视觉,创新和世界上最好的才华。作为 NVIDIAN,你将沉浸在多元化的支持环境中,每个人都会受到启发去做自己的最佳工作。加入团队看看你如何对世界产生持久影响。据 NVIDIA 的新闻报道,公司正在寻找一名高级 AI/HPC 工程师加入其基础设施专家团队。世界各地的学术和商业团体正在使用 NVIDIA 产品来彻底改变深度学习和数据分析,并推动数据中心。加入团队建设世界上许多最大最快速的 AI/H PC 系统!NVIDIA 正在寻找一个有能力在一个动态,客户关注的团队上工作的人员,这需要优秀的人际交往技能。这个角色将与客户,合作伙伴以及内部团队进行互动,以分析,定义和实施大规模的 AI/ HPC 项目。这些努力的范围包括网络设计,系统设计和自动化以及对客户的面孔。你将要做的是:· 主要责任包括为新用户和现有客户在 Linux 基础环境中部署,管理和维护 AI/HPC 基础设施。· 在计划通话期间与客户进行领域专家合作。· 交付相关文件并执行需要支持客户开始推出世界上一些最复杂的系统时所需的知识转移!· 向内部团队提供反,如打开错误,记录解决方案和建议改进等。我们需要看到的:· 计算机科学,电气/计算机工程,物理,数学或相关领域等级经验。· 5年以上提供深入支持和部署服务,解决硬件和软件产品的问题。· Linux 系统管理,流程管理,包管理,任务规划,内核管理,启动程序/故障排除,性能报告/优化/登录,网络路由/高级
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for a Senior AI/HPC Engineer to join its infrastructure Specialist team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic, customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large-scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design, and Automation, and being the face to the customer.
What you will be doing:
- Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.
- Be the domain expert with customers during planning calls through implementation.
- Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
- Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
- BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
- 5+ years providing in-depth support and deployment services, solving problems for hardware and software products.
- Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring).
- Cluster management technologies.
- Scripting proficiency.
- Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills.
- Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
- Industry-standard Linux certifications.
- Experience with Schedulers such as SLURM, LSF, UGE, etc.
Ways to stand out from crowd:
- Demonstrated hands-on experience with MPI (e.g., OpenMPI, MPICH), proficient in distributed communication programming and cluster debugging.
- In-depth understanding of NCCL principles and applications, with expertise in collective communication optimization for NVIDIA GPU clusters.
- Experience in deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance
- Familiarity with automation tools (Ansible, Salt, Puppet, etc.), capable of implementing batch configuration and operational automation for GPU clusters and LLM deployment environments.
- knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous manager who loves a challenge? Are you ready to become the staff member you always wanted to be? Come and be part of the best SW design team in the industry!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Originally posted on Himalayas