NVIDIA seeks a new college graduate (Master's/PhD or equivalent) to research, design, and optimize high-performance AI and HPC workloads on CPUs and GPUs for financial services. Responsibilities include low-level parallel programming (e.g., CUDA), profiling and eliminating bottlenecks, collaborating with hardware/software teams, and publishing results. Role emphasizes C/C++, algorithms, linear algebra, and experience improving large-scale GPU application performance; locations listed in the US with remote options.

Role for an architect/functional modeling engineer to design, develop, validate, and improve GPU architecture and baseboard component simulation models and platforms. Requires 5+ years experience, strong C/C++ and scripting skills, SystemC/TLM modeling experience, and familiarity with ML frameworks (PyTorch, TensorFlow, LangChain).

Role responsible for improving ML training and inference efficiency across GPU clusters by debugging and optimizing software and infrastructure, building tools and frameworks to detect bottlenecks, collaborating with researchers across domains (LLMs, robotics, autonomous vehicles, video), and working with technologies such as CUDA, NCCL, Nsight, distributed training, cloud platforms, and fast distributed storage.

Full-time inside Account Manager role covering DACH (based out of Munich, remote option noted) responsible for selling NVIDIA solutions to enterprise accounts and working with channel partners. Responsibilities include achieving 100% quota, forecasting, qualifying opportunities, presenting solutions (phone/TEAMS), negotiating and closing, and building customer and partner relationships. Requires fluency in German and English, 4+ years of inside/technology quota-carrying sales experience, Salesforce.com experience, and experience selling in cloud environments (CSP/ISV).

The role focuses on selling NVIDIA software solutions for the Accelerated Datacenter across dedicated EMEA regions. Responsibilities include developing executive relationships, co-selling with account teams and partners (OEMs, ISVs, cloud and channel partners), opportunity and pipeline management, and communicating NVIDIA technology value across virtualization, cloud-native, and AI/ML segments. Requires 2+ years of high-technology sales experience and experience with Salesforce; international travel is required.

Lead a team designing and integrating next-generation AI/HPC systems, including compute, networking, storage, and software. Responsible for building platforms for software development, systems automation, performance engineering, tooling, and documentation; collaborate across NVIDIA and with external partners to plan, deploy, and validate large-scale clusters. Requires 8+ years overall experience (including 3+ years technical leadership) and proficiency with Go/Python/Ansible; desirable experience with InfiniBand/RoCE and Prometheus/Grafana. Role is remote-friendly and based in the US. Salary range stated: 224,000–356,500 USD per year.

Role involves designing and executing benchmarking methods for large-scale HPC and AI GPU clusters; building and maintaining telemetry and observability stacks (Prometheus, Grafana, DCGM, etc.); performing performance analysis and optimization across host, network, and data center infrastructure; and collaborating with hardware, software, and customer teams. Requires 8+ years of relevant experience and strong Linux, GPU/CUDA, scripting, and monitoring expertise.

NVIDIA is hiring a Security Research Architect to design and implement security solutions across applications, OS, drivers, and device firmware, work on hardware/software security projects, perform architectural modeling and validation, and collaborate with internal teams, customers, and partners. Requires a BSc/MS/PhD or equivalent, 4+ years' experience, OS design knowledge, and programming in Python and C/C++.

NVIDIA seeks a Product System Engineer to own product engineering activities for networking systems at contract manufacturing sites in Guadalajara, Mexico. Responsibilities include leading cross-organizational task forces, root cause analysis, test planning and yield monitoring, onsite engineering support, training CM technicians, and performing production audits. Requires a B.S. in Electrical Engineering (or equivalent), 4+ years technical experience in hardware/system failure analysis or product engineering, and proficient English.

Work on implementing and optimizing language and multimodal model inference in NVIDIA Inference Microservices and TRT-LLM. Requires 5+ years experience, strong deep learning and inference background, performance profiling/optimization (especially GPU), and proficiency in C++ and PyTorch.

Role involves researching and developing techniques to accelerate database and data analytics workloads on modern CPU architectures (ARM, x86), performing in-depth performance analysis and optimizations, publishing findings, and influencing hardware and software design. Requires a CS-related advanced degree or equivalent experience and at least 5 years of relevant work or research experience with strong C/C++ and low-level parallel programming skills.

Research and develop techniques to GPU-accelerate AI and high-performance financial workloads, analyze and optimize complex CPU/GPU applications, and publish findings. Requires an advanced degree or equivalent, 5+ years' relevant experience, strong C/C++ and parallel programming skills (CUDA, OpenMP, MPI, etc.), deep understanding of CPU/GPU architectures and linear algebra, and experience with financial computational applications.

NVIDIA seeks a Raytracing Compiler Engineer to guide design and implementation of an LLVM-based JIT compiler for NVIDIA GPUs, develop compiler passes and optimizations for high performance and low compilation time, collaborate with global compiler/hardware/application teams, and apply modern compiler technologies. Requires 12+ years of compiler development experience, 3+ years with LLVM code generation, and strong C++ skills.

Work on performance characterization, benchmarking, triage and root-cause analysis for GPU communication libraries (NCCL, NVSHMEM, UCX) across hardware and software stack. Requires 3+ years' parallel programming experience, familiarity with communication runtimes, C/C++ and Python, and experience with containers and cluster tools such as Kubernetes and SLURM.

Join DriveOS as a Senior Software Architect to lead architecture and system-level design for automotive-grade platform software powering autonomous vehicles. Role requires 12+ years experience, deep expertise in embedded/system software, virtualization, multi-core hardware, OS design, hardware acceleration, and compliance with automotive standards (ISO 26262, ISO 21434, ASPICE). Responsibilities include collaborating across software and hardware teams, driving architecture documents, and influencing NVIDIA SoC/GPU designs.

Join NVIDIA's Linux graphics driver team to architect, develop, and maintain Vulkan/OpenGL software performance features for GPU hardware. Role requires a Bachelor's (or equivalent), strong low-level Linux OS knowledge, 8+ years programming in C/C++, and 3+ years developing OpenGL/Vulkan system-level graphics software and shader/compiler-related work.

Develop and optimize a modern C++ inference framework extending TensorRT for autoregressive LLM serving (speculative decoding, LoRA, MoE, KV cache). Work includes CUDA kernel/operator development, compiler/runtime optimizations, performance benchmarking and collaboration across CUDA, compilers, and robotics teams. Requires 4+ years experience and deep familiarity with transformer inference techniques and GPU/CUDA development.

Work on building and integrating simulator components for next-gen NVIDIA DGX platforms, bringing the full software stack up on simulators, collaborating with hardware modeling and driver teams, improving performance, fixing bugs across user and kernel stacks, and automating execution. Requires strong C/C++ skills, OS and system architecture knowledge, experience with hypervisors/emulators (e.g., QEMU/KVM), Linux experience, and 5+ years relevant experience.

NVIDIA seeks a System Software Engineer for its Deep Learning Algorithms team to research, prototype, develop and optimize solutions, tools and libraries for deep learning, data analytics, machine learning or scientific computing. Requires a Bachelor's/Master's or equivalent, 8+ years of software development experience, excellent Python and C/C++ knowledge, experience designing complex decoupled systems, knowledge of design patterns, algorithms and data structures, and strong communication and documentation skills. Location listed as Poland (Warsaw) with remote option; salary ranges provided for Poland (PLN).

Lead strategy and product initiatives to enable enterprise adoption of accelerated query engines (Presto, Velox, DuckDB, Polars, Spark, etc.). Engage customers, ISVs, storage partners, and CSPs; develop go-to-market motions; track adoption and customer success. Requires BS/MS or equivalent, 10+ years product management experience in data analytics, and strong technical and communication skills.