NVIDIA is seeking a Graphics System Software Engineer to design, develop, and maintain user-mode driver and platform code for graphics technologies. The role involves implementing APIs and systems across GPU generations and OSes, supporting GPU design validation, and collaborating with industry partners. Requires a B.S. or equivalent, 5+ years C++ experience, and experience in platform/driver/SDK development; familiarity with DirectX 12, Vulkan, or other rendering APIs is expected. Salary ranges provided (USD 152,000–287,500/year depending on level).

Join the Tegra system-on-chip software team to design, develop, verify, and maintain kernel drivers and embedded software for ARM-based Tegra SoCs. Collaborate with hardware, silicon, and pre-silicon teams for modeling, simulation, and platform bring-up. Requires 5+ years experience and strong C and low-level driver skills.

NVIDIA seeks a Senior Software Engineer (SRE/Production Engineering) to build automation and operational tooling for DGX Cloud bare-metal GPU infrastructure. The role requires hands-on experience with NVIDIA GPU systems (e.g., NVL72), BlueField DPUs, BMC/Redfish, Linux, Kubernetes, and production reliability practices (on-call, incident response). Responsibilities include provisioning automation, hardware health monitoring, lifecycle management, debugging across hardware and software stacks, and collaborating with hardware, networking, and partner teams.

NVIDIA is hiring a Security Engineer to own vulnerability backlog and drive scanning, triage, remediation, and validation for GPU kernel and firmware components. Requires 5+ years industry software engineering experience, strong C and low-level driver skills, and knowledge of OS and computer architecture. Responsibilities include security reviews, tooling evaluation, and communicating security posture to stakeholders.

Lead and grow a team accountable for platform integration, functional qualification, compliance, and performance readiness for CUDA Math Libraries on specialized platforms. Collaborate with CI/CD, build/test infrastructure, and library teams; perform defect triage, establish performance targets, and deliver a technical roadmap. Requires MSc/PhD (or equivalent), 8+ years developing numerical/HPC software, 3+ years leading teams, and hands-on experience with C++, Python, parallel computing, and performance optimization.

Work on the NeMo Helix Core platform to design and implement an agent execution and orchestration system targeting local/docker, Kubernetes, Slurm, and other backends. Requires designing APIs, plugin architectures, and improving reliability, observability, testing, and performance. Requires 10+ years of professional software engineering experience and strong Python, distributed systems, and cloud-native experience.

Work on production DGX Cloud systems enabling large GPU clusters for AI workloads, focusing on Kubernetes APIs, GPU resource scheduling, monitoring, node health, telemetry, and incident management. Requires 8+ years of relevant experience, competency in Go or Python, and experience with large-scale distributed systems. Posted salary ranges: 184,000–287,500 USD (Level 4) and 224,000–356,500 USD (Level 5).

Lead architecture and delivery of a unified network visibility platform integrating topology, configuration, telemetry, active measurement, and self-service products. Requires 10+ years industry experience, strong proficiency in Python or Go, deep networking fundamentals, hands-on observability experience (Prometheus, Grafana, OpenTelemetry), Kubernetes deployment, and experience with large-scale graph/TS/streaming systems. Role includes cross-functional technical leadership, defining data contracts and interfaces, and mentoring engineers.

Responsible for architecting, implementing, and validating data-center power/performance management software (real-time controllers, firmware, drivers) across the full product lifecycle, collaborating with hardware architects and cross-functional teams. Requires 12+ years' experience and strong C and low-level systems skills.

Join NVIDIA's GPU Performance and Power Management Software team to architect and implement production software for P-state management, DVFS, and power-management controllers across the product lifecycle. The role works at the intersection of hardware architecture, embedded firmware, device drivers, operating systems, and data-center workloads. Requires a BS/MS (or equivalent) and at least 12 years of experience in system/embedded/driver software with strong C and low-level debugging skills.

NVIDIA seeks a Distinguished Engineer to own and implement the security design standard for DGX Cloud, covering hardware root of trust through workload isolation, identity, supply chain, and detection. The role is hands-on, embeds with engineering teams, leads a small Principal Engineer team, and requires deep experience in securing large-scale distributed/cloud platforms (minimum ~18+ years noted). Location listed as US (Remote).

Join NVIDIA DRIVE to design and implement synthetic-data and sensor-simulation tools (lidar, radar, camera/RGB-D) against NuRec and Cosmos environments, build world models, evaluate dataset quality and sim-to-real transfer, and operate large-scale simulation pipelines. Requires 8+ years of relevant experience, strong Python/C++ skills, and familiarity with ML workflows, profiling, and scalable engineering tools.

NVIDIA seeks a Senior Perception (Machine Learning) Engineer to research, develop, and productize end-to-end deep learning perception modules for traffic signals (lights, signs, road markings, construction objects) to enable autonomous driving without reliance on HD maps. Role requires strong hands-on deep learning and software skills (PyTorch, Python/C++), experience with data-driven development, and meeting product requirements for safety, latency, and robustness. Posted salary ranges: 184,000–287,500 USD (Level 4) and 224,000–356,500 USD (Level 5).

Individual-contributor technical lead role contributing to open-source parallel and distributed file systems and distributed object storage. Responsibilities include writing and reviewing production code, triaging and root-causing storage issues at GPU/HPC scale, running scale tests and benchmarks, validating storage architecture and durability, and defining configuration and tuning best practices. Requires 12+ years of direct storage software engineering experience, proficiency in systems languages (C/C++/Rust/Go), Python, and deep familiarity with Linux kernel storage and networking stacks (NVMe-oF, SPDK, RDMA/InfiniBand, NFS, S3-class object storage).

Responsible for driving customer issue resolution for InfiniBand/NVLink switch deployments, developing features and tools for enterprise networking services, and collaborating with engineering to reproduce and solve issues. Requires a BSc (or equivalent), 10+ years of system software development and troubleshooting experience, C development (kernel/application/embedded), and hands-on experience with datacenter networking protocols such as LACP, OSPF, BGP, EVPN, and VXLAN; familiarity with RDMA/RoCE, DPUs, and HPC (MPI/UCX) is a plus.

Responsible for full SDLC: design, implement, test, integrate and document perception software components and deploy state-of-the-art DNN models to embedded platforms. Requires 12+ years' experience with embedded real-time applications, strong C++ and Python skills, experience with test-driven development, and familiarity with CUDA/SIMD and deep learning frameworks (e.g., TensorFlow, PyTorch).

Join the DRIVE Road Structure / Online Mapping / Context Fusion team to design and implement learning-based, multimodal sensor-fusion systems and shared spatiotemporal world representations for autonomous vehicles. Requires 8+ years experience (including 2+ years in AV/robotics and 2+ years leadership), strong C++/Python skills, deep-learning experience (PyTorch), and expertise with LiDAR/camera/radar fusion, 3D perception, and GPU-accelerated training/inference.

NVIDIA seeks a Tech Lead with 8+ years building and operating production software to lead the Cryptographic Services team. Responsibilities include building a cryptographic asset registry, key and certificate lifecycle tracking, telemetry/audit controls, API/CLI signing flows, and production post-quantum signing support (ML-DSA, LMS, hybrid). Requires hands-on engineering in Python/Java/Go and working knowledge of applied cryptography and HSM-backed key management.

Lead the architecture and implementation of LLM‑friendly math library APIs and documentation, collaborate with stakeholders to deliver LLM‑enhanced releases, build metrics and tooling to measure code‑generation impact, and prototype solutions to represent math library APIs for codegen and agent tooling. Preferred background includes MSc/PhD (or equivalent), 3+ years' experience, and familiarity with LLMs, API design, and CUDA‑X libraries.

Role requires leading integration strategy and system-level debugging (boot failures, hangs, crashes, resets, power transitions, performance regressions) using crash dumps, traces, logs, telemetry and hardware diagnostics. Requires 12+ years' experience, BS/MS in Computer Engineering/Computer Science or equivalent, strong ARM and SoC knowledge (boot, security, power), proficiency in C/C++ and Python, and solid kernel and hypervisor understanding on Windows and Linux. Involves OEM/partner integration, CI/CD, automated failure classification, and cross-team collaboration.