
Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Open Positions at Nvidia
99 open positions
Energy Solution Architect delivering customer-facing GPU computing, simulation, and AI-for-science solutions for energy-sector customers. The role combines technical consulting, proof-of-concept delivery, and hands-on enablement to scale NVIDIA solutions from China to global energy markets.
NVIDIA is hiring a Senior MLOps Engineer to help customers deploy, optimize, and scale AI workloads across cloud and NVIDIA platforms. The role combines ML systems engineering, performance tuning, customer engagement, and open-source enablement.
NVIDIA is seeking a Senior Compiler Engineer to build Rust-to-GPU compiler pipelines, intermediate representations, optimizers, and JIT systems for high-performance CUDA applications. The role combines Rust compiler internals, GPU architecture, and memory-safe parallel programming abstractions.
Serve as a senior technical advisor to higher education and research partners, helping them adopt NVIDIA’s accelerated computing, multimodal AI, and physical AI technologies. The role combines hands-on solution development, research collaboration, technical education, and customer engagement with approximately 20% travel.
Serve as a technical advisor to universities and research labs, helping them adopt NVIDIA’s accelerated-computing, multimodal AI, and physical AI technologies. The role combines customer-facing architecture, hands-on research enablement, training, and prototyping.
Lead technical adoption and partner enablement for NVIDIA’s Metropolis video analytics ecosystem in Tokyo. You will help developers and startups integrate NVIDIA technologies, shape product roadmaps, and promote solutions across industries including manufacturing, retail, and smart spaces.
NVIDIA is hiring a Principal Solutions Architect to help cloud partners design, integrate, and deploy large-scale GPU infrastructure and AI applications. The role combines deep technical expertise with customer-facing leadership across the full solution lifecycle.
Join NVIDIA’s CUDA Tile team to build compiler technology that enables efficient tile-based programming across generations of NVIDIA GPUs. You’ll design MLIR-based compiler transformations, optimize deep learning kernels, and contribute to major additions to CUDA.
NVIDIA is seeking a Senior Engineer to help Cloud Partners operate large-scale NVIDIA accelerated infrastructure reliably in production. The hands-on role focuses on Day 2 operations, observability, automation, lifecycle management, and remediation across GPU clusters and cloud environments.
Senior DevOps Engineer supporting NVIDIA’s RAPIDS open-source data science libraries by building reliable packages, containers, CI/CD systems, and development infrastructure. The role combines hands-on automation, cloud and Linux administration, release engineering, and cross-team technical support.
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