NVIDIA seeks a Senior Developer Relations Manager to work with software partners to architect, prototype, and integrate Omniverse and physical AI simulation technologies (APIs, USD, NIMs, Blueprints). The role involves creating reference architectures, sample code, enablement materials, engaging engineering and executive stakeholders, and influencing product roadmaps. Minimum 8+ years tech experience and strong software development background required.

NVIDIA is hiring a Senior Software Engineer in the Developer Tools organization to enhance tools for deep neural network design and performance. The role requires at least a M.S. (or equivalent), 5+ years of relevant technical experience, strong knowledge of deep learning (computer vision and LLMs), and hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX. Provided base salary ranges from USD 152,000 to 287,500 depending on level and location.

Role focused on building and operating core attestation cloud services that validate NVIDIA platform integrity. Responsibilities include designing APIs and integrations, improving reliability and operational maturity (SLOs/SLIs, alerting, runbooks), implementing appraisal and verification workflows, and mentoring engineers. Requires BS/MS or equivalent, 12+ years experience in large-scale distributed systems/cloud services with at least 3 years in security/attestation, proficiency in Go or Java, and hands-on experience with Kubernetes, major cloud providers, CI/CD, and observability tools.

NVIDIA is hiring a Senior Software Developer for an AI networking acceleration team to build a performance-oriented open-source inference framework using hardware offloads (GPU kernels, RDMA). Requires B.Sc. or equivalent and 6+ years of modern C++/C/Rust development, plus Linux experience and deep knowledge of TCP/IP, computer architecture and OS concepts. Locations listed include Czechia, Romania, Hungary and Poland (remote options). Poland base salary ranges are provided in the posting.

NVIDIA is hiring a Lead Safety Architect to define and deliver safety architecture and requirements for autonomous vehicles, perform safety analysis and data-driven evaluation, and collaborate with perception, AI, and motion planning teams. Requires MS (or equivalent) in Computer Science/Robotics, 12+ years industry experience, systems/software development expertise, leadership of cross-functional efforts, and strong analytical and communication skills. Base salary range: 224,000–356,500 USD per year.

Senior Software Systems Engineer (L3/L4) role focused on defining system requirements and performance budgets, developing test and validation strategies (vehicle and component levels), and ensuring safety (SOTIF ISO 21448, ISO 26262) for autonomous driving. Requires 8+ years in safety-critical systems engineering, strong software skills (Python, C++, SQL), and experience with large datasets and ML validation.

NVIDIA seeks a Senior GPU Memory Architect to develop high-performance, energy-efficient processor and system architectures with emphasis on GPU memory systems (perf/W, perf/mm, perf/$). The role involves architecture and micro-architecture feature development, power and performance simulation and modeling, analysis of benchmarks and workloads, and debugging across models, RTL, emulation, and silicon. Requires 10+ years in CPU/GPU architecture and memory systems, expertise in power analysis/tools (e.g., Ansys Power Artist, Synopsys PTPX), and experience with C/C++ and scripting. Locations include US (multiple cities) and remote; salary ranges provided for different levels.

Role requires designing and implementing an LLVM-based backend JIT compiler for NVIDIA GPUs, developing compiler passes and optimizations, and collaborating with hardware and application teams. Requires 4+ years of compiler development experience (3+ years with LLVM), strong C++ skills, and GPU-related experience (CUDA, graphics APIs) is preferred.

Lead and cultivate relationships with strategic venture capital firms and their portfolio companies across EMEA; enable partnerships between VC portfolio companies and NVIDIA business units; plan executive engagements and design ecosystem development initiatives. Requires a bachelor's degree or equivalent, 8+ years' experience (including at least 4 years in the VC or startup ecosystem in Europe), strong partner management, communication, and program execution skills.

Technical authority responsible for analyzing model architectures at the operator/kernel level, uncovering performance bottlenecks, and delivering inference solutions (TensorRT and compiler-stack) for Jetson, DRIVE, and GPU+ARM platforms. Requires advanced experience in DL model optimization, GPU/CUDA and low-level performance optimization, embedded/edge software, neural network compilation, and collaboration with OEMs, compiler/runtime, and hardware teams.

NVIDIA seeks a Senior ASIC Methodology Engineer to develop AI-enabled automation and end-to-end workflows across ASIC design, verification, and physical design. Requires a Bachelor's or Master's in a relevant field, 5+ years' industry experience, experience with RTL/verification/physical design (asset), strong programming skills (Python, Perl, Make, shell), and familiarity with AI frameworks and EDA.

NVIDIA seeks a Senior System Software Engineer to be the technical lead for its Data & Observability Platform, responsible for high-performance telemetry ingestion, policy enforcement and data governance, observability UX and APIs, cost-optimized tiered storage, and platform automation. Requires 8+ years of full-stack development experience with observability tools (Grafana, Prometheus, ELK/OpenSearch), experience operating stateful services on Kubernetes (Helm, Terraform, Ansible), and proficiency with backend and frontend technologies (Python, JS, Java, Rust, Go, React).

Role involves designing and implementing compiler optimization techniques for deep learning graphs, tensor sharding and graph partitioning for distributed training/inference, and code generation for NVIDIA GPU backends using tools such as MLIR, LLVM, and OpenAI Triton. Requires a BS/MS/PhD or equivalent, 4+ years relevant experience, strong C/C++ skills, performance analysis, and knowledge of GPU/accelerator architectures; experience with JAX, CUDA, XLA/TVM/MLIR/LLVM is a plus.

Responsible for redefining ASIC development methodology by developing AI-enabled automation, creating scalable data pipelines, establishing metrics for efficiency and quality, and mentoring engineers. Requires a BS/MS in CS/CE/EE (or equivalent), 5+ years industry experience, experience with ASIC design frameworks, and proficiency in Python, Perl, Make, and shell scripting.

NVIDIA seeks a Senior SW & System Architect to define architectures for DPUs and NICs across networking, security, virtualization and orchestration. The role involves designing end-to-end solutions from hardware to application, evaluating technologies, building POC prototypes, and collaborating with global teams and customers. Requires 4+ years as a software/system architect and as a software developer, strong C and Python skills, Linux and container experience, and deep networking knowledge.

Seeking an experienced engineer (8+ years) with hands-on expertise in accelerated computing and large GPU clusters to collaborate with customers and NVIDIA teams on deploying, debugging, benchmarking, and optimizing training and inference workloads. Requires strong programming (C/C++/Python), CUDA knowledge, profiling/debugging experience, and familiarity with cluster schedulers, interconnects, and training/inference frameworks.

Work on analyzing deep learning networks and implementing compiler optimization algorithms for AI inference across NVIDIA GPUs. Collaborate with deep learning framework and GPU architecture teams; require 3+ years relevant experience, strong C/C++ and Python skills, and experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton).

NVIDIA seeks a Senior Solutions Architect / Engineer to drive deployment of GPU server and networking solutions for AI customers. The role requires systems-level expertise (GPU/CPU server architecture, NICs, Linux/kernel drivers), experience with cluster bringup and debugging, and customer-facing work including POCs and roadmap feedback. Occasional travel (~20%) is required; the role is open to remote locations.

NVIDIA is hiring a Senior Machine Learning Applications and Compiler Engineer to build and maintain high-performance runtime and compiler components for the LPX inference stack. Responsibilities include mapping large-scale inference workloads to NVIDIA systems, extending software ecosystem libraries and tooling, benchmarking and profiling for performance, and collaborating with hardware architects. Requires MS/PhD (or equivalent) with 6 years relevant experience, strong systems programming skills (C/C++ and/or Rust), compiler/runtime development experience (IR design, passes, code generation), familiarity with LLVM/MLIR, and experience with TensorFlow, PyTorch, and ONNX.

Develop and evolve libraries, drivers, and runtime interfaces for NVIDIA LPU platforms; improve reliability through automation, diagnostics, and tooling; debug complex multi-component issues; support hardware bring-up and NPI efforts; collaborate with hardware, compiler, and operations teams. Requires a Master's degree or equivalent and 5+ years' relevant experience, strong modern C++, Linux low-level/system software experience, and hardware/platform bring-up experience.