NVIDIA
- HQ
- California, US
- Founded
- 1993
- Size
- 35,000+
- Website
- nvidia.com
Currently tracking 440 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).
NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.
NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.
NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).
Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.
In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026 NVIDIA is seeking engineers to develop algorithms and optimizations for their LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning to optimize neural network workloads on future NVIDIA platforms. | Serve | 9 |
| Senior Software Engineer, AI Inference Systems NVIDIA is seeking a Senior Software Engineer to build and optimize AI inference systems for large-scale models, focusing on extreme efficiency and performance across multi-GPU, multi-node, and multi-cloud environments. The role involves architecting inference stacks, optimizing GPU kernels and compilers, driving benchmarks (MLPerf), and orchestrating large-scale deployments. | Serve |
| Senior Systems Software Engineer - Deep Learning Solutions Senior Systems Software Engineer focused on deep learning inference optimization for autonomous vehicles and robotics on edge hardware. The role involves analyzing and improving deep learning models on NVIDIA platforms, benchmarking performance, evaluating emerging model architectures, and collaborating with compiler, runtime, and hardware teams to deliver inference solutions. | Serve | 9 |
| DL System Software Engineer - AI Platform NVIDIA is seeking a DL System Software Engineer to join their AI Platform team. The role involves developing and building solutions for scheduling large-scale AI training and inference workloads on GPU clusters, optimizing performance and efficiency for large models. The engineer will work on core infrastructure, resource management, and GPU scheduling, contributing to NVIDIA's AI platform. | ServePost-train | 8 |
| GPU Performance Engineer - Neural Reconstruction GPU Performance Engineer focused on optimizing neural reconstruction and Gaussian Splatting workloads, involving PyTorch, CUDA, and GPU profiling to improve training and rendering performance. | ServePost-train | 8 |
| Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026 NVIDIA is seeking engineers to develop algorithms and optimizations for their LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning to optimize neural network workloads on future NVIDIA platforms. The role involves building and maintaining high-performance runtime and compiler components, defining workload mappings, integrating with the SW ecosystem, benchmarking, profiling, and collaborating with hardware teams. It also includes prototyping new compilation techniques and publishing technical work. | Serve | 8 |
| Senior Machine Learning Applications and Compiler Engineer, LPX NVIDIA is seeking a Senior Machine Learning Applications and Compiler Engineer to develop algorithms and optimizations for their LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning to map neural network workloads onto future NVIDIA platforms. | Serve | 8 |
| Senior ASIC Infrastructure Engineer NVIDIA is seeking a Senior ASIC Infrastructure Engineer to define and deploy AI/ML applications for chip design, debug, and verification. The role involves collaborating with hardware design teams, architecting novel tools, and staying updated on AI/ML advancements like LLMs, RAG, and GenAI to integrate them into the company's infrastructure. | Agent | 7 |
| Senior Software Engineer, AI Inference Senior Software Engineer focused on optimizing and scaling AI inference for large language models, working with customers and contributing to open-source projects like vLLM. | Serve | 7 |
| Senior ASIC Methodology Engineer - LPU Division This role focuses on inventing and pioneering AI-driven and sophisticated automation techniques to transform the way ASICs are conceived, explored, and brought to closure, improving predictability, convergence, and turnaround time in the ASIC development lifecycle. The role involves identifying and leveraging data for AI models, establishing metrics, sharing best practices, and tracking advances in AI and hardware design research. | Serve | 7 |
| Senior ASIC Design Verification Engineer - LPU NVIDIA is seeking an experienced Senior ASIC Design Verification Engineer to verify the design and implementation of inference accelerators. The role involves using advanced verification methodologies, collaborating with cross-functional teams, and potentially applying machine learning to the verification process. The focus is on ensuring the correctness of ASIC designs for high-performance processors. | — | 5 |
| Principal Security Data Engineer, Infrastructure Security Engineering - DGX Cloud NVIDIA DGX Cloud is seeking a Principal Security Data Engineer to build the data backbone for its security control plane. This role involves designing, building, and operating data ingestion and transformation pipelines, architecting the data lake/lakehouse, and developing the analytics layer for security posture and detection. The engineer will also be responsible for securing the data layer itself, ensuring data quality and trust, and collaborating with cross-functional teams. The ideal candidate has extensive experience in data engineering at scale, production-grade coding, data modeling, distributed data systems, and security-minded data handling. | — | 0 |
| Senior Graphics Shader Compiler Engineer Senior Graphics Shader Compiler Engineer at NVIDIA, focusing on compiler design, implementation, and optimization for GPU technologies. The role involves working with LLVM, SPIR-V, and contributing to graphics drivers and general-purpose computation on GPUs. | — | 0 |
| Senior Formal Verification Engineer - LPU Senior Formal Verification Engineer to verify AI-related sophisticated ASIC designs and features using formal verification methods. Role involves defining verification scope, ensuring correctness, employing sophisticated formal techniques, and improving methodologies. Requires 12+ years in ASIC verification with 8+ years in formal verification, mastery of SVA, and proficiency in formal tools. | — | 0 |
| Senior ASIC Verification Engineer, Coherent High Speed Interconnect NVIDIA is seeking a Senior ASIC Verification Engineer to verify high-speed coherent interconnects for their SoCs and GPUs. This role involves architecting test benches, developing verification infrastructure, and collaborating with design teams using methodologies like System Verilog and UVM. Experience with industry standard protocols like PCIe and CXL is beneficial. | — | 0 |
| Senior Systems Software Engineer, LPU Senior Systems Software Engineer role focused on building foundational software for NVIDIA's LPU (likely a hardware accelerator) to enable high-performance computing platforms. Responsibilities include developing and maintaining hardware abstraction layers, core system libraries, drivers, and runtime interfaces. The role requires strong C++ skills, low-level system software experience, and Linux systems knowledge, with a focus on reliability and operability. | — | 0 |
| Senior ASIC Design Engineer - LPU Senior ASIC Design Engineer role at NVIDIA, focusing on implementing high-performance, area, and power-efficient RTL for SoCs, GPUs, and ASICs. The role involves micro-architecture design, RTL implementation, verification, and collaboration with various engineering teams. It specifically mentions working on critical designs integral to LLM performance, such as real-time numeric processing and data flow processing. | — | 0 |
| Senior ASIC Verification Engineer - GPU Senior ASIC Verification Engineer to verify the design and implementation of GPUs and SoCs, focusing on high-performance processor elements. Responsibilities include developing verification infrastructure, collaborating with design teams, and ensuring design correctness using advanced methodologies like UVM. | — | 0 |
| Senior Memory Controller Verification Engineer | — | — |