Senior System Software Engineer, AI Data Platform
Our team is building the foundational infrastructure that powers NVIDIA 's cutting-edge innovations in AI and high-performance computing. We are seeking a Senior Software Engineer to design, build, and optimize highly scalable and reliable automation systems that ensure the peak performance and seamless deployment of our core software offerings across a diverse ecosystem. This is an opportunity to directly impact how AI models and complex applications are validated, tuned, and delivered globally, from cloud environments to on-premises data centers and specialized hardware.
What you’ll be doing:
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Develop efficient infrastructure and tools for automating complex software processes.
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Drive Performance Optimization: Implement advanced test harnesses, benchmarking frameworks, and analytical tools to rigorously characterize and optimize the performance and efficiency of our software and hardware platforms.
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Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performant systems.
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Work with engineering teams to understand needs, define requirements, and deliver efficient solutions.
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Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability.
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Influence Technical Strategy: Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies.
What we need to see:
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Bachelor's or equivalent experience in Computer Science, Computer Engineering, or a related technical field, or Master's degree or equivalent experience in a similar field.
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5+ years of industry experience in software development, focusing on infrastructure, distributed systems, automation, and/or performance engineering.
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Expertise in System-Level Programming: Proven ability to develop robust tools and automation using programming languages such as C++, Python, or Go.
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Deep Understanding of System Software: Experience with operating system internals, device drivers, memory management, and debugging performance issues in complex compute applications.
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Distributed Systems: Experience in designing, building, and operating large-scale distributed systems, with knowledge of networking protocols, cluster management, and high-performance interconnects.
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Automation and CI/CD Proficiency: Experience building and maintaining automated testing, benchmarking, and continuous integration/continuous deployment pipelines.
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Problem-Solving and Analytical Skills: Outstanding analytical, problem-solving, and debugging skills, with a track record of resolving complex technical challenges.
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Collaboration and Communication: Excellent interpersonal and communication skills, with the ability to articulate complex technical concepts to diverse audiences and collaborate effectively across teams.
Ways to stand out from the crowd:
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Experience optimizing performance for AI/Machine Learning workloads, especially inference applications, on diverse hardware platforms.
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Prior experience building or contributing to large-scale compute infrastructure solutions in cloud environments or on-premises data centers.
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Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
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Familiarity with performance profiling tools and methodologies for hardware and software systems.
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Track record of driving significant efficiency gains or architectural improvements in large-scale systems.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in ou