# Senior Systems Software Engineer

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: $184,000 - $287,500
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-IL-Champaign/Senior-Systems-Software-Engineer---Accelerated-Spark-Applications_JR2028114?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8c3f5a94-ff9

## Description

NVIDIA is seeking a Senior Systems Software Engineer for the Apache Spark Acceleration group. The role involves designing, building, and operating a hosted Spark service control plane on Kubernetes, extending the cuDF Spark runtime and CPU/GPU workload router, investigating production failures, and providing recommendations to teams.

**Responsibilities:**

- Design, build, and operate hosted Spark service control plane on Kubernetes: 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 over a thousand concurrent jobs with the customer team and upstream library teams, and drive fixes to closure

- Instrument metrics, dashboards, and alerts; participate in on-call rotation and keep runbooks current

- Provide recommendations and feedback to teams regarding decisions on infrastructure, continuous integration, and testing strategy

**Requirements:**

- 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

**Preferred qualifications:**

- 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 (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion)

The base salary range is $184,000 - $287,500 USD. You will also be eligible for equity and benefits.

## Skills

### Required
- Java
- Scala
- C++
- Python
- Kubernetes
- Apache Spark
- Distributed systems

### Nice to have
- Apache Spark internals
- Spark Connect
- Kyuubi
- Delta Lake
- Apache Iceberg
- Unity Catalog
- cuDF
- CUDA

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-IL-Champaign/Senior-Systems-Software-Engineer---Accelerated-Spark-Applications_JR2028114?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)