NVIDIA · 6 hours ago
Senior System Software Engineer - Data Engineering
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA’s Hardware Infrastructure organization is looking for a Senior Data Engineer to become part of the Data & Observability Platform. In this role, you will build high-throughput pipelines that move petabytes of telemetry data and manage our central Data Lakehouse while collaborating with internal engineering teams to optimize their data schemas and efficiency.
Artificial Intelligence (AI)SemiconductorConsumer GoodsHardwareSoftwareAppsAI InfrastructureConsumer ElectronicsFoundational AIGPUVirtual Reality
Responsibilities
Build Scalable Data Pipelines: Develop and deploy high-throughput, reliable pipelines to move substantial volumes of telemetry information from global edge locations to our central Data Lakehouse
Architect the Data Lakehouse: Lead the implementation of our tiered storage strategy. You will design efficient schemas that optimize for both write-heavy real-time ingestion and fast, cost-effective interactive queries
Orchestration & Automation: Modernize workflow scheduling by implementing robust, code-based data pipelines. You will build workflows that handle complex dependencies, automated backfills, and intelligent retries
Drive Embedded Data Optimization: Partner directly with internal engineering teams to audit their data usage. You will identify heavy-hitter datasets and primary storage consumers, refactor inefficient schemas, and enforce lifecycle policies to significantly reduce storage costs
Manage Data Infrastructure: Own the operation of the underlying platform. You will manage stateful deployments on Kubernetes, optimize Spark performance, and ensure the reliability of our streaming architecture
Enforce Quality & Governance: Implement automated schema validation and data quality checks to prevent bad data from entering the lake. You will collaborate with security teams to apply automated masking and access controls
Qualification
Required
BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
8+ years of experience in Data Engineering with a strong focus on Infrastructure, Streaming, or Platform building
Strong Coding Fluency: Expert proficiency in Python for automation, tooling, and orchestration. Proficiency in Java or Scala for high-performance data processing (Spark/Flink)
Deep Streaming Expertise: Extensive experience with Kafka. You have a deep understanding of consumer groups, partition strategies, offset management, and handling backpressure in high-volume environments
Data Lake Experience: Hands-on experience with modern table formats (Apache Iceberg, Delta Lake, or Hudi) and distributed query engines (Trino/Presto/Spark)
Containerization & Ops: Deploy, configure, and debug applications on Kubernetes using Helm
Preferred
Familiarity with EDA workflows, semiconductor design lifecycles, or experience managing simulation/emulation logs for hardware engineering teams
Ability to navigate complex organizational structures, partnering with hardware architects and engineering leads to translate broad requirements into concrete data infrastructure solutions
Experience migrating from legacy search stores (Elasticsearch/OpenSearch) to Cold Storage (S3/Iceberg)
Experience with high-performance log routing frameworks like Vector
Background in identifying cost drivers in petabyte-scale environments and implementing storage cost optimization initiatives
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
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2025 (1877)
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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