Responsible for designing, implementing and supporting operational and reliability aspects of a large-scale observability and telemetry collection platform; engage across the whole service lifecycle from design through deployment and operation. Requires 15+ years relevant experience, deep knowledge of Linux, networking, containers, infrastructure automation and experience with tools such as Kubernetes, OpenStack, Prometheus, Grafana and OpenTelemetry; experience with Python/Go/Perl/Ruby.

Lead technical strategy and implementation for DGX Cloud cluster operations, including automation, GitOps, lifecycle management, validation, repair, upgrades, observability, SLOs, and incident response. Requires 15+ years building and operating large-scale distributed systems or cloud infrastructure, deep Kubernetes and Linux experience, and strong programming skills in Go or Python. Role involves mentoring engineers and influencing cross-functional platform, infrastructure, storage, networking, and security teams.

Join NVIDIA as a Senior System Software Engineer on the Automotive Performance team to optimize system software (including Safe RTOS) and benchmark boot and runtime performance. The role involves collaborating with hardware and platform teams, benchmarking hypervisors, improving runtime and compiler performance, and contributing to profiling tools. Requires a master's degree or equivalent and a minimum of 12 years' experience in systems or software performance with strong C/C++ and experience in Linux and QNX.

Role involves designing and implementing security systems, policies, and operational practices for AI clusters and high-performance computing infrastructure; leading incident response and disaster recovery; hardening systems across networking, storage, OS, firmware, and applications; and collaborating with engineering, infrastructure, legal, and leadership. Requires 8+ years' experience and strong C/C++ and Linux security skills.

NVIDIA seeks a Principal Architect to own the architecture of a full-stack release management platform, including domain models, state machines, ingestion/reconciliation pipelines, validation/gating, API standards, frontend authoring experience, CI/CD orchestration, and operational models. Requires over 15 years of software engineering experience, strong expertise in Python and PostgreSQL, frontend frameworks (React/Angular/TypeScript), containerization, and demonstrated senior technical leadership.

Own program management for the Chip Tools portfolio (starting with Fuse), driving tool health (SLOs, incidents, RCAs), building dependency maps, coordinating across hardware and infrastructure teams, and establishing processes for tool onboarding and change control. Requires 12+ years TPM experience in hardware/chip development or engineering infrastructure and technical degree or equivalent. Base salary range listed: 200,000 USD - 322,000 USD.

Role to partner with account teams and customers across North America to architect, optimize, and deploy GPU-accelerated AI/ML pipelines for large biological foundation models (e.g., using BioNeMo/NeMo). Requires MS/PhD or equivalent, 8+ years in software development for deep learning/GPU acceleration/scientific computing, domain experience in genomics/quantum chemistry/biomaterials/structural biology, and familiarity with HPC environments (Slurm/Kubernetes) and Linux. Responsibilities include building proofs-of-concept, performance tuning, technical enablement, and customer-facing technical leadership.

Design and build performance analysis tools and workflows for AI training and inference; integrate profiling infrastructure with AI frameworks; collaborate with performance engineers, hardware architects, and software teams; identify and automate detection/diagnosis of performance bottlenecks. Requires M.S./PhD or equivalent, 6+ years relevant experience, strong software development skills (Python, C++), and deep knowledge of AI workloads and frameworks. Base salary range listed (USD).

NVIDIA is hiring a Senior Compiler Engineer - AI to design and implement learning-based compiler optimization workflows and integrate LLM systems with compiler infrastructure. The role requires 8+ years of software engineering and AI/ML experience, strong knowledge of compilers, code generation, GPU architecture, hands-on LLVM/MLIR experience, and proficiency in Python and C/C++. Locations listed include US (Redmond, Santa Clara, Austin) and remote. Base salary range listed: 184,000 USD - 287,500 USD per year.

NVIDIA seeks a Senior Solutions Architect to partner with pharmaceutical and biotech customers across North America to design, implement, and optimize GPU-accelerated AI software for clinical sciences and autonomous labs. The role involves requirements gathering, proof-of-concept development, CUDA/kernel optimization, GPU migration of scientific workloads, building sim-to-real robotics and agentic AI systems, and engaging stakeholders across technical and non-technical audiences. Requires MS/PhD or equivalent experience, 8+ years relevant experience, proficiency in Python and AI/ML frameworks (PyTorch, LangChain or similar), and experience with C/C++ and CUDA and cloud/HPC deployments.

Responsible for defining metadata, validation rules, asset profiles, and contributor-ready workflow standards for digital twin and infrastructure assets. Requires 8+ years building or improving production content pipelines and strong technical writing skills; experience with OpenUSD, Omniverse/Isaac Sim, and asset publishing or discovery systems is highlighted.

Role requires deep expertise in Kubernetes internals and Slurm, hands-on GPU integration experience (GB200/GB300 or comparable), and strong distributed-systems debugging across networking (RDMA/RoCE), storage, and control planes. Responsibilities include prototyping features, creating reproducible testbeds (Helm/Ansible/Terraform), automation and benchmarking, customer-facing PoC work, and driving architecture and upstream contributions. Requires 10+ years professional software development experience (Go, Rust, C/C++ or Python).

Lead the software architecture and delivery of rack-scale infrastructure products, including control planes, orchestration, firmware/OS lifecycle, drivers, and networking fabrics. Requires 15+ years in systems architecture or infrastructure engineering and hands-on experience with technologies such as Kubernetes, Go/C++/Rust, Linux, BMC/Redfish/IPMI, and data center networking (Ethernet, InfiniBand, RDMA).

NVIDIA is hiring a Senior Systems Software Engineer to develop features for GPU performance profiling tools (Nsight Compute). The role requires 8+ years of software engineering experience, strong C++ skills, knowledge of GPU hardware, and experience or interest in CUDA kernel programming and profiling. Responsibilities include designing features, collaborating with GPU hardware and compiler teams, and contributing to tools used by CUDA developers.

NVIDIA seeks a senior deep learning/CUDA engineer to design and implement CUDA features, runtime abstractions and tooling for scaling AI and HPC workloads across multi-GPU and multi-node systems. Requires 8+ years' experience, strong C++/Python/CUDA skills, familiarity with PyTorch/JAX/inference engines, performance benchmarking and distributed communication libraries (NCCL, MPI, UCX).

Owner of NVIDIA's software left-shift program for pre-silicon software readiness: partner with architecture, modeling, and software teams to remove blockers, define program milestones and success criteria, lead executive reviews, and turn SW-on-model findings into actionable architectural and modeling improvements. Requires BS/MS in a technical field and 8+ years of technical program management experience in semiconductor or computing contexts.

Lead cross-functional programs to scale and modernize NVIDIA's Hardware EDA infrastructure, overseeing planning, execution, metrics (OKRs/KPIs), tooling/automation, and cluster build operations. Requires 12+ years experience in hardware/software engineering or technical program management, experience with EDA infrastructure and semiconductor flows, and strong communication and stakeholder management skills.

NVIDIA seeks a Senior Embedded Architect Manager to research, design, and implement hardware and software security solutions for networking products. The role requires 12+ years of experience with IO interfaces (I2C, I3C, SPI, UART, USB, PCIe), low-level firmware and languages (Verilog, Python/Perl, ARM assembly, C/C++), and experience with boot architecture, RISC-V, root-of-trust, and hardware security primitives.

NVIDIA seeks a Senior Product Architect to define and oversee architectures for large-scale AI and HPC datacenter deployments. The role requires 12+ years of experience in datacenter-scale infrastructure, strong skills in systems architecture, networking, storage, DevOps (Python, Ansible, containers, Kubernetes), and experience with AI workloads (inference, training, RAG). Responsibilities include prototyping, integration with hardware/software/security teams, creating POCs/MVPs, and producing technical documentation and customer-facing content.

Lead hands-on architectural definition and trade-off analysis for complex, high-volume GPU/SoC platforms. Responsibilities include power/performance evaluation, subsystem specification (memory, test, power), collaboration with RTL/verification/physical/firmware/software teams, silicon bring-up, and technical leadership. Requires over 15 years of SoC architecture or similar experience and a relevant master's degree or equivalent.