NVIDIA is looking for a Data Engineer Technical lead to join Networking Clusters Solutions group. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines for our clusters’ performance analysis, cluster management and monitoring solutions. You will dive into emerging technologies, define and prove concepts, and identify or create the necessary frameworks. Your responsibilities will include defining and implementing large-scale telemetry pipelines, ensuring data integrity, and designing simulation solutions and other innovative technologies. You will also design and optimize data architecture to support robust and scalable systems. Networking Cluster Solutions (NCS) group is responsible to build the biggest AI clusters in NVIDIA Israel to qualify and optimize NVIDIA Networking solutions at scale.What You'll Be Doing:Define and implement the group’s data technical roadmap, ensuring alignment with teams inside and outside the groupOversee the quality, performance, and maintainability of the data analytics codebase and delivered solutionsDrive best practices in software engineering, data modelling, data quality, code quality, security, observability, and operational excellenceBuild high-performance pipelines with advanced data integrity control of NCS groupDefine and build NCS group different pipelines and reports for HPC & AI clusters’ performance, telemetry and E2E tests coverageWhat We Need To See:B.Sc. or M.Sc. in Computer Engineering or Computer Science10+ years of experience in developmentHands-on experience with ETL tools (Airflow, , etc.) and streaming frameworks (Kafka, Spark)Experience with modern analytic tools and platforms such as Data Bricks, etc.Perfect understanding of telemetry solutions at scale and automation technologies, along with modern application platforms and paradigmsAdvanced coding skills agnostic to development languages and tools, from ETL pipelines to standalone solutionsWays To Stand Out From The Crowd:Familiarity with cloud-native development and deployment methodologiesExperience with public cloud solutions (AWS, GCP, Azure)Background in data center design and technologiesExperience with large-scale data processing systemsExisting contributions to open-source communitiesWith competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world’s most desirable employers. Our team comprises some of the most forward-thinking and hardworking individuals in the industry. Due to unprecedented growth, our exclusive engineering teams are rapidly expanding. If you're a creative engineer with a real passion for technology, we want to hear from you.
