Senior Systems Software Engineer - Accelerated Spark Applications
NVIDIA· Engineer, Sys SW
Hybrid (Champaign, IL), Hybrid (Santa Clara, CA), Remote$184k - $287.5kFull-timePosted 4d ago
About the role
Senior Systems Software Engineer for the Apache Spark Acceleration group, focusing on hosting and accelerating Spark workloads on GPUs. Builds and operates a hosted Spark service on Kubernetes, extends cuDF Spark runtime and CPU/GPU workload router, and collaborates across service, runtime, and router layers.
Responsibilities
- Design, build and operate hosted Spark service control plane on Kubernetes: the Java REST API, the 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 the 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 together with the customer team and upstream library teams, and drive fixes to closure
- Instrument metrics, dashboards and alerts; take part in the on-call rotation and keep the runbooks current
- Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy
Qualifications
- 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 and 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: 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
Skills
Required:JavaScalaC++PythonKubernetes
Benefits
- Equity
- Comprehensive benefits package
- Salary range 184,000 USD - 287,500 USD (base)
- Benefits overview at NVIDIA benefits site
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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