Senior Systems Software Engineer – Accelerated Spark Applications

NVIDIA

. Design, build and operate a hosted Spark service control plane on Kubernetes, including the Java REST API, Spark Connect runner, Kyuubi, and deployment using Helm charts and Flux .

Posted 10/31/2026full-timeRemote • United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating hosted Spark services on Kubernetes, with strong proficiency in Java and Scala. Capable of investigating production failures and providing strategic recommendations for infrastructure and continuous integration.

Highest-signal resume keywords

Kubernetes OperationsJava DevelopmentScala DevelopmentApache Spark InternalsGPU Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaC++PythonKubernetesApache SparkCuDFDelta LakeApache IcebergREST API

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

HelmFluxJDBCThrift

Industry Keywords

Distributed SystemsData PlatformProduction SupportAI Tools

Tech Stack

Tools & technologies

ApacheCloudFluxJavaKubernetesPythonScalaSparkThriftUnityC++

About the role

Key responsibilities & impact

Design, build and operate a hosted Spark service control plane on Kubernetes, including the Java REST API, Spark Connect runner, Kyuubi, and deployment using Helm charts and Flux
Own code review for one or more services end to end and keep them releasable on the release train
Extend the cuDF Spark runtime and CPU/GPU workload router in Scala and Java, including interoperability with Delta Lake, Apache Iceberg and Unity Catalog
Investigate production failures on clusters running more than a thousand concurrent jobs with customer and upstream library teams, and drive fixes to closure
Instrument metrics, dashboards and alerts
Participate in the on-call rotation and keep runbooks current
Provide recommendations and feedback regarding infrastructure, continuous integration and testing strategy

Requirements

What you’ll need

BS, MS, or PhD in Computer Science, Computer Engineering, or a closely related field (or equivalent experience)
9+ years of experience in software development
Strong distributed-systems fundamentals
Proficiency in Java or Scala, plus C++ or Python
Hands-on experience operating services on Kubernetes, on-premise or cloud
Experience owning or reviewing a long-lived server, including REST front ends, proxies or request routers, JDBC or Thrift services
Experience supporting enterprise or internal production customers, including on-call
Experience using AI tools in software development
Apache Spark internals, Spark Connect, or Kyuubi
Delta Lake, Apache Iceberg or Unity Catalog integration work
GPU data processing with cuDF, or CUDA experience
Significant contributions to data platform projects committed to collaboration and shared development
NVIDIA uses AI tools in its recruiting processes

Benefits

Comp & perks

Equity
Comprehensive benefits package
Equal opportunity and inclusive work environment