Join our dynamic engineering team as a Senior System Level Software Infrastructure Engineer. You will design, develop, and maintain robust infrastructure solutions that power our next-generation hardware and software platforms. This role bridges system-level engineering and advanced software development, offering a unique opportunity to work on multidisciplinary projects with direct impact on product quality and innovation.
What you’ll be doing:
Architect, implement, and optimize software infrastructure for system-level testing and validation.
Develop automation frameworks and tools for hardware-software integration, diagnostics, and data collection.
Collaborate with internal and external teams (hardware, firmware, and QA teams) to deliver scalable, reliable solutions.
Lead troubleshooting and root-cause analysis for complex system issues, leveraging software tools and scripting.
Drive continuous improvement in test coverage, efficiency, and reporting.
Mentor junior engineers and contribute to technical leadership within the team.
What we need to see:
Bachelor's degree or equivalent experience in computer/software science
Strong programming skills in Python (5+ years proven experience).
Experience with Linux environments and scripting (Bash, Python).
Proven track record in developing automation tools, test frameworks using OOP.
Familiarity with hardware-software integration, system validation, or embedded systems.
Experience with version control systems (Git, GitLab, GitHub).
Solid understanding of networking protocols, system architecture, or cloud infrastructure.
Experience in cross-functional collaboration.
Ability to work independently and lead tasks end-to-end with the right prioritization
Ways to stand out from the crowd:
Experience with DevOps/CI/CD pipelines, practices, and tools (Docker, Kubernetes, Jenkins).
Knowledge of hardware interfaces (PCIe, I2C, SPI) and debugging tools.
Familiarity with modern software testing methodologies (unit, integration, system).
Proven experience with Silicon (pre/post) validation.
Prior experience as a team lead (direct/matrix management).
Ready to make an impact? Apply now and help us build the future of system-level infrastructure!
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
