Work with Financial Services capital markets clients to perform proofs-of-concept, profile and optimize ML/DL models for NVIDIA GPU architectures, collaborate with engineering/product/sales teams, build industry-focused collateral (notebooks/blogs), and enable deploying models at scale on cloud and on-prem HPC. Requires 12+ years experience and proficiency in Python and C++.

NVIDIA seeks a Senior CPU Design Engineer to drive micro-architecture definition, implement RTL (Verilog/SystemVerilog), collaborate with verification and physical design teams, and meet performance, timing and power targets. Requires BS/MS in EE/CE (or equivalent) and 8+ years of experience in micro-architecture and RTL development of high-speed CPU-related designs; proficiency in logic design, physical design/VLSI, and scripting (Python/Perl).

NVIDIA seeks a Senior Software Architect to co-design next-generation data center platforms and scalable communications software (NCCL, NVSHMEM, UCX) for Deep Learning and HPC. Requires M.S./Ph.D. or equivalent, 5+ years' relevant experience, strong C/C++ and Linux skills, experience with parallel programming/communication runtimes (MPI, NCCL, NVSHMEM, UCX, etc.), and knowledge of network and system architecture. Locations include multiple US offices and remote; posted salary range 184,000–356,500 USD/year (varies by level).

Role involves in-depth performance characterization and analysis on large multi-GPU/multi-node clusters, studying HW/SW interactions, implementing micro-benchmarks, triaging customer performance issues, and building tools to visualize performance data. Requires M.S. or equivalent (or PhD), 3+ years of parallel programming and communication runtime experience (e.g., MPI, NCCL, UCX, NVSHMEM), proficiency in C/C++ and a scripting language (preferably Python), and familiarity with containers, cloud provisioning and schedulers (Kubernetes, SLURM, Ansible, Docker).

NVIDIA seeks a Senior System Software Engineer to design, develop, test, and optimize system software for next-generation ARM-based SoCs and datacenter products. Requires 6+ years of relevant experience in computer architecture or software development, strong skills in OS internals, multicore systems, performance analysis (including linux perf), device drivers, and performance optimization; familiarity with CUDA and HPC is a plus.

Role to investigate and improve GPU-to-GPU and node-to-node communication performance, design and implement communication technologies, co-design HW/SW with GPU and networking architects, build proofs-of-concept, run experiments and simulations at large GPU scales. Requirements: M.S./Ph.D. (or equivalent), 3+ years relevant experience, excellent C/C++ programming and debugging, experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC), strong Linux skills, and solid understanding of system and network architecture. Desirable: CUDA/NVIDIA GPU experience, knowledge of InfiniBand/RoCE/NVLink, deep learning frameworks (PyTorch, TensorFlow) and HPC application experience.

Hands-on technical lead responsible for building integrations, reference architectures, and production deployments of GenAI systems (RAG, LLM inference, multi-agent) using NVIDIA libraries and ecosystem tools. Requires 8+ years in technical product/engineering roles, deep AI/ML and cloud platform experience, and collaboration with partners and internal product/engineering teams.

Responsible for architecture and implementation of fleet health monitoring, telemetry collection and visualization, fault remediation, and scalable solutions for GPU-based AI infrastructure. Requires 5+ years coding experience, strong skills in C/C++ and Python, experience with time-series databases (InfluxDB/Prometheus), Grafana, REST APIs (Redfish a plus), firmware knowledge, and experience with SCM and project tools (Git, Perforce, Jira).

Lead architecture and development of vehicle and sensor abstraction layers (VAL/SAL), design plugin frameworks and interfaces to sensors and actuators, and improve integration across vehicle and sensor configurations. Responsible for developing production-quality C++ code (including GPGPU/CUDA), validating through real-world and synthetic testing, following automotive safety/quality standards (e.g., MISRA), and managing teams. Requires MS (or equivalent), 12+ years relevant experience and 8+ years of management experience.

Experienced circuit designer to perform transistor-level analysis, SPICE simulations, EM/IR and static timing analysis, and to drive design and implementation of digital and mixed-signal IPs for voltage/noise sensing. Role includes collaboration with cross-functional teams, prototyping on test chips, and mentoring junior engineers.

Work on design and implementation of GPU-accelerated libraries and SDKs for unstructured sparsity in deep learning and HPC. Responsibilities include developing a C++ system for sparse tensor computations, DSL specifications for sparse storage formats, on-demand code generation, enabling frameworks like Python/PyTorch, and performance evaluation and optimization. Required: BS/MS/PhD (or equivalent), 6+ years developing and optimizing high-performance C++ software, strong Python and CUDA skills, and experience with parallel programming (MPI/OpenMP) and sparse compilers (MLIR or TACO).

Lead technical partnerships and developer relations with global systems integrators, consultants, and contractors in the CAE/EDA ecosystem. Responsibilities include driving SDK adoption, co-designing technical solutions, producing enablement materials, influencing product roadmaps, and representing NVIDIA at conferences. Requires MS/PhD or equivalent, 10+ years of relevant experience, and deep knowledge of CAE/EDA technologies.

NVIDIA seeks a Solutions Architect for its AI Software Segment to develop end-to-end AI solutions, support LLMs and multimodal models, and guide customers through data processing, training, evaluation, RL, and model optimization. Requires 5+ years with AI frameworks (PyTorch, JAX, TensorFlow), Python, Linux, experience with distributed training tools (Kubernetes, SLURM), and expertise in GPU-based model training. Location noted as US (remote) and Santa Clara; salary range stated.

Work on GPU-accelerating high-performance database and ETL applications: analyze and optimize data-intensive workloads, collaborate with hardware/software teams to influence future architectures and programming models. Requires a Master's/PhD or equivalent, 5+ years' relevant experience, strong C/C++ and low-level parallel programming (CUDA, OpenMP, MPI, etc.), and expertise in CPU/GPU architecture and memory subsystems.

Seeking a Solutions Architect for NVIDIA's Agentic AI team to design and implement agentic AI applications at scale using techniques such as reinforcement learning, inference optimization, and model fine-tuning. Requires 5+ years experience in deep learning/machine learning, strong software engineering skills (Python, C/C++, Linux), experience with GPUs and frameworks like TensorFlow or PyTorch, and familiarity with multi-agent libraries and production deployment patterns (Kubernetes/OpenShift, CI/CD).

Work on design and implementation of cloud-native data management services including catalogs, metadata and dataset/checkpoint lifecycle for hybrid and multi-cloud infrastructures. Collaborate with internal teams and research groups (GPU direct storage, DPU). Requires a BS (or equivalent) with 5+ years experience, strong algorithms and data structures, backend systems experience, and hands-on experience with Kubernetes and at least one major cloud provider. Salary ranges provided for levels 3 and 4 (USD).

NVIDIA seeks a Distinguished Engineer to lead architecture, systems, and software strategy for AI-native wireless infrastructure (RAN and core), drive GPU-accelerated prototyping, and engage with industry standards (3GPP, O-RAN) and partners. The role requires 20+ years of industry experience and deep expertise in communications theory, RAN (5G NR) PHY/L1/L2, baseband signal processing, AI/ML, and programming in Python, C/C++, and Matlab. Salary range provided: 320,000–488,750 USD/year.

Design, implement, and optimize scalable high-performance sparse linear algebra software for GPU architectures (sparse BLAS, direct and iterative solvers, preconditioners, AMG). Collaborate with library engineers, QA, product management, and external partners. PhD/MSc preferred; 5+ years of relevant experience in C++ and parallel programming technologies (CUDA, MPI, OpenMP, OpenACC, pthreads). Salary ranges provided in posting.

Role focuses on securing NVIDIA Data Center systems through design and delivery of security features (Root of Trust, boot, attestation, recovery, out-of-band management and firmware). Requires 5+ years of software/firmware security engineering, experience with standards (OpenBMC, UEFI, TCG DICE, SPDM, PLDM, Redfish, NIST SP800-193, CNSA2.0), Python/scripting, system programming and data center/server architecture knowledge.

Role to communicate NVIDIA GPU architecture and rack-scale system designs (including NVL72, NVLink switching, power delivery, and liquid cooling) to hyperscalers, OEMs, and system operators. Requires translating complex system design into technical content (blogs, whitepapers, presentations) and engaging customers on design challenges and ROI; 7+ years experience requested.