NVIDIA · 8 hours ago
System Software Engineer, Content and Delivery
NVIDIA is a leader in visual and accelerated computing, currently seeking a System Software Engineer - Content & Delivery to enhance their learning management system. This role involves evolving the learning platform, collaborating with course designers, and improving automated content validation and distribution systems.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Evolve the learning platform by enabling new features and workflows, translating pedagogical and user experience visions into technical implementations and systemic improvements, delivering a fantastic learning experience
Collaborate with course designers, defining capabilities and practices and assessing technology for diverse hands-on courses and labs, building new development environments, and optimizing cost-effectiveness and reliability
Extend and develop the course content publishing pipeline, improving content-focused automated content validation, guiding testing efforts, and tailoring content distribution systems to ensure the integrity, quality, and performance of learning materials
Qualification
Required
Bachelor's degree in Computer Science, a related technical field, or equivalent experience
Over 8 years of DevOps experience optimizing, deploying, and running containerized applications (Docker, Kubernetes) across AWS, Azure, and GCP, including hands-on work with EKS, AKS, and GKE
Practical experience in building, automated testing, and deploying GPU accelerated software to diverse environments, including SCM automation
Proficient in Python and Linux shell scripting for automation, application development, system administration, and problem resolution/triage
Validated experience architecting, implementing, and managing cloud infrastructure using Terraform
Demonstrated ability as a meticulous problem-solver with strong analytical skills, capable of diagnosing and resolving complex technical challenges
Excellent communication, teamwork, and collaboration skills, with an ability to articulate technical concepts clearly to diverse audiences and lead technical responses during incidents
Preferred
Proven experience designing and implementing event-driven architectures using pub/sub patterns (e.g., AWS SNS / SQS, Google Pub / Sub, Azure Service Bus)
Knowledge of generative AI architectures (LLMs, diffusion models) and concepts such as Retrieval Augmented Generation (RAG) and vector databases
Hands-on experience with the NVIDIA AI stack (NeMo, Triton Inference Server, TensorRT), with Production experience with NVIDIA NIM as a strong plus
Experience in applying SRE principles to automate, enhance reliability, and improve performance in managed software development environments
Familiarity with Python applications and libraries such as Pytorch and Pandas, common error behaviors in GPU compute environments, and how they manifest in common frameworks as well as experience with services commonly used in DLI training, including Build and Triton
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
Straits Times
2026-02-05
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