Senior System Software Engineer, Holoscan

NVIDIA•Durham, NC

About The Position

We are looking for a motivated Senior System Software Engineer to join the Holoscan team. This is an outstanding opportunity to accelerate the pace of sensor processing software development within NVIDIA. Collaborate with a distributed team to address complex challenges in crafting a powerful platform for AI-driven sensor processing applications. The candidate will help design and build robust system software, drive automation across the development lifecycle, and develop a deep understanding of product architecture and dependencies.

Requirements

Outstanding teammate with excellent interpersonal and communication skills
Bachelor's degree (or equivalent experience) in Computer Science, Software Engineering, or a related field, with a consistent record of shipping system software products
6+ years of confirmed experience in system software development
Strong software development skills: C/C++, Python, Bash, Docker, CMake
Experience building and employing AI/ML tools, LLM-based automation, or AI-assisted development workflows
Familiarity with cross-compilation, embedded systems, and Linux internals
Knowledge of security principles, vulnerability management, and patch processes

Nice To Haves

Contributions to open-source software projects, as a contributor or maintainer
Experience designing and deploying AI agents or automation frameworks in a software engineering context
Deep understanding of security principles with the ability to assess architectures and develop security recommendations
Experience with Yocto-based distributions or building custom embedded Linux environments as well as medical AI applications or real-time sensor processing pipelines
Background in regulated industries (medical, aerospace, automotive) with software validation and verification experience

Responsibilities

Design, implement, and optimize system software for the Holoscan platform
Build and maintain AI-powered automation tools and intelligent pipelines to accelerate development workflows
Develop and integrate software components across the full stack, from hardware interfaces to application-level frameworks
Collaborate with development, QA, and product teams to ensure robust, high-quality software delivery
Apply AI/ML techniques to improve system performance, monitoring, and anomaly detection
Investigate and resolve complex system-level issues across hardware and software boundaries
Lead multi-functional efforts to improve platform scalability, reliability, and developer efficiency