
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
September 18
🏄 California – Remote
💵 $148k - $287.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Deploy and operationalize vendor-provided platforms in our cloud-based service platform • Build and maintain distributed infrastructure that supports large-scale log ingestion, data processing, and scenario validation • Automate workflows and pipelines using Go, Python, Bash, and Bazel • Integrate simulation and drive logs in various formats with validation platforms • Provide visualization and reporting capabilities for validation results and coverage metrics • Define and manage access controls, monitoring, and security policies • Partner with internal teams and external vendors to troubleshoot and refine SLAs
• BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience) • 5+ years of professional experience in infrastructure, distributed systems, or platform engineering • Hands-on experience with Linux systems, Kubernetes/Docker, Terraform, and CI/CD pipelines • Strong scripting/development skills in Python, Bash, and exposure in C++ and/or GoLang • Familiarity with Bazel build/test automation frameworks • Experience in data/log ingestion workflows and distributed compute/storage systems • Strong debugging, problem-solving, and communication skills • Proven comfort leveraging AI based development tools, such as Claude Code and Cursor
• equity • benefits package
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