Senior System Software Engineer - GPU and SoC (Finance)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We're looking for a versatile and highly motivated Software Engineer to join our team. In this role, you'll play a crucial part in enhancing our engineering capabilities across the entire software development lifecycle. You'll be instrumental in developing and optimizing our build, test, and release processes, ensuring the quality and stability of our products through comprehensive testing, and deriving actionable insights from system telemetry. This position requires a strong problem-solver who thrives in a collaborative environment and is passionate about driving efficiency and quality through automation and data.

What you'll be doing:

• Build, Release & Infrastructure Automation: Design, implement, and maintain robust build flows for embedded software; automate complex release processes; and manage underlying infrastructure for continuous integration and continuous delivery (CI/CD) pipelines. Troubleshoot build failures and infrastructure issues and optimize CI/CD workflows for efficiency and reliability.
• Comprehensive Testing & OS Vetting: Develop and enhance automated frameworks for System-on-Chip (SOC) validation, including daily sanity and regression testing. Integrate testing scripts into CI/CD pipelines to ensure continuous quality. Perform thorough sanity testing of various System Windows and Linux hardware and software components, ensuring high-quality releases. Develop comprehensive regression reports and scale stress/smoke testing on device farms.
• Data Analytics & Telemetry: Implement metrics collection and analytics systems to monitor software, build quality, and performance. Analyze telemetry and log data from distributed systems to identify patterns, anomalies, and derive actionable insights that guide development priorities and improve product quality.

What we need to see:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, or a related technical field (or equivalent experience).
• 5+ years of professional experience as a Software Engineer, with significant contributions in at least one, and preferably more, of the following areas:
  
  • Build & Release Engineering / DevOps: Experience designing and maintaining CI/CD pipelines, build systems, and infrastructure automation.
  • Software Quality Assurance / Test Automation: Proficiency in developing automated test frameworks, writing comprehensive test suites, and performing system/OS validation.
  • Data Engineering / Systems Analysis: Experience with data ingestion, processing, analysis, and visualization from telemetry and logs to derive insights.
• Automation: Python, Bash/Shell scripting, C/C++, pytest, robot or similar
• CI/CD & build Tools: Jenkins, GitLab CI, Make, CMake or similar
• Cloud & Analytic Platforms: AWS , Azure, OpenSearch, Logstash/Fluent
• Operating Systems: Windows (ETW, WMI), Linux (systemd journal, syslog, dmesg)

Ways to stand out in the crowd

• Strong programming skills in Python, Bash, or other automation scripting languages.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and Version Control Systems (Git, P4).
• Understanding of software testing methodologies and experience with test automation frameworks (e.g., pytest, Robot Framework, Unittest).
• Experience with cloud platforms (AWS, Azure) and/or observability stacks (e.g., OpenSearch/Elasticsearch, Kibana) for data processing, log aggregation, and visualization.
• Working knowledge of Windows OS, Linux, and their respective diagnostic and monitoring tools (e.g., ETW, systemd journal, dmesg, eBPF).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 2, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.