NVIDIA seeks a Senior High Performance AI Engineer to build and optimize agentic multi-agent systems, GPU-centric runtimes, and compiler-/runtime-driven solutions for the CUDA ecosystem. Role involves cross-stack collaboration with hardware, compiler, and model teams. Requires 3+ years industry or academic experience with AI systems, strong C/C++ and Python skills, and experience with GPU programming and performance optimization. Base salary range provided: 152,000–241,500 USD per year.

Join NVIDIA's Compute Developer Technology team to analyze and optimize Cloud and HPC CPU workloads on NVIDIA CPUs. Responsibilities include engaging with developers, contributing to software stacks and reference code, collaborating with architecture, research, libraries, tools, and product teams, and influencing next-generation architecture and software design. Requires a BS/MS/PhD or equivalent experience, 8+ years relevant experience, strong knowledge of C/C++ and/or Fortran, and hands-on experience with benchmarking and optimizing enterprise and cloud workloads.

NVIDIA is hiring a Senior Software and System Architect in its Networking Software Architecture group to lead architecture for cloud-networking and security solutions, design system architecture for DPUs & NICs, build end-to-end solutions from application to hardware, evaluate new technologies and develop prototypes. Requirements include a B.Sc/M.Sc/PhD (or equivalent), 5+ years as a Software or Systems Architect with strong software development background, deep experience with C and Python, hands-on Linux development, cloud-networking knowledge, and familiarity with networking protocols and topologies. Preferred experience: NICs/DPUs/routers/switches/firewalls, OS drivers, data center technologies, DPDK, OVS/OVN, Docker/Containers and Kubernetes. Salary ranges provided (USD, annual).

Lead the architecture and hands-on development of NVIDIA's Retail & CPG platform using NVIDIA stack (NeMo, Nemotron, RAPIDS, cuOpt, etc.) to enable AI solutions for digital commerce, supply chain, and intelligent stores. Requires 15+ years of experience, developer expertise building AI agents and familiarity with LLMs, RAG, data pipelines, distributed systems, and GPU acceleration libraries.

Join a team building globally distributed auth and storage services based on microservice architecture. Responsibilities include designing distributed backend architecture, developing and maintaining authentication/authorization microservices (OCaml/Rust), improving test coverage, performing regression/stress/performance testing, debugging on Linux, and providing API/client technical support. Requires 5+ years' relevant experience, strong Linux system programming and networking knowledge, familiarity with HTTP-based RPC (REST, Twirp, gRPC), Kubernetes deployment, and excellent technical English communication.

NVIDIA is hiring a Senior Distributed Software Engineer (Golang) to lead architecture and implementation of a scalable distributed storage-as-a-service for AI/ML. Responsibilities include designing system architecture, developing Go services and user-space applications, working with Kubernetes and cloud integrations, automating deployment/monitoring, and collaborating with internal and external teams. The role requires 8+ years of industry experience. Posted base salary ranges from $184,000–$287,500 (Level 4) and $224,000–$356,500 (Level 5) depending on level/location.

Role on NVIDIA's System Ethernet QA Team responsible for testing and qualification of virtual networking silicon and software (L2/L3, EVPN, VXLAN, QoS, security). Responsibilities include designing and executing functional, performance, and security tests, developing Python automation suites (OOP, Pytest), debugging, and collaborating with R&D. Requires 5+ years QA or networking experience, strong Python and Linux skills, and protocol knowledge (BGP, OSPF, EVPN, VXLAN, VLAN, STP, PFC, ECN, RoCE).

Work on NVIDIA System Ethernet QA team to design, develop and execute tests (regression, performance, functional, security) for Ethernet switch features, write Python automation and framework APIs, and collaborate on bug reproduction and debugging. Requires a practical/BA in CS/Electrical Engineering, 5+ years hands-on QA/networking experience, protocol knowledge (BGP/EVPN, VXLAN/OSPF, PIM/IGMP), QoS (PFC/ECN/RoCE), and scripting in Python/Bash. Poland base salary ranges provided for Levels 3 and 4.

Work across research, engineering, and product teams to develop and profile workflows and sample applications, benchmark and optimize GPU-accelerated computing and ML frameworks, and represent NVIDIA at scientific events. Requires BS/MS/PhD (or equivalent) and 5+ years building HPC/AI/ML software for physics and numerical simulations.

Role to design and develop APIs, state management, and workflow automation for NVIDIA's DGX Cloud operations; integrate with Kubernetes, observability tools (Prometheus, OpenTelemetry, Grafana), and cloud platforms (AWS, GCP, Azure). Requires 8+ years' experience and proficiency in Go, Java, or Python.

NVIDIA seeks a Senior Solution Architect with 10+ years of software engineering experience to lead architecture and implementation of Sales AI applications. Responsibilities include full-stack design, integrating generative AI and retrieval systems, API and cloud architecture, ensuring security, observability, and production readiness, and mentoring engineering teams.

NVIDIA seeks a senior engineer to research, develop, and optimize GPU-accelerated algorithms and libraries for quantum error correction (QEC) and system simulation. Requires strong C++ and Python skills, expertise in QEC and stabilizer formalism, experience with GPU performance optimization (CUDA), and 8+ years of relevant experience. Base salary ranges in the posting span USD 184,000–287,500 (Level 4) and USD 224,000–356,500 (Level 5).

Join NVIDIA's DGX Cloud / Fleet Intelligence team to build in-band agents and out-of-band collectors that gather GPU health, host and BMC telemetry, inventory, attestation evidence, and diagnostics. Work includes Go-based Linux services and agents, Rust for collectors (optional), Kubernetes daemonsets, packaging (.deb/.rpm, systemd, containers), Prometheus/OTLP exports, Redfish/BMC integration, and contributions to open source. Base salary range reported: 152,000–287,500 USD/year depending on level and location.

Lead development of decision-grade evaluation environments, benchmarks, and reproducible CI pipelines used to gate model releases and inform training and product decisions. Role requires 6+ years' experience with LLMs and large-scale evaluations, strong statistical foundations, and hands-on experience running workloads on GPU/HPC clusters (Slurm) and experiment management tools such as MLflow or W&B. Locations listed include Spain, Switzerland, Netherlands, France, and Poland (remote eligible).

Work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs, implementing MLIR-based dialects and lowering passes, designing public APIs, and optimizing kernel performance across GPU architectures. Requires strong C/C++ skills and experience in compiler optimization, performance analysis, and IR design.

Role to architect and implement OpenBMC support for platforms where the BMC manages both host system and coordinated top-of-rack Ethernet switch functionality. Responsibilities include defining switch-management architecture (D-Bus, Redfish, bmcweb), developing object models and services for switch inventory and networking features (VLANs, LAGs, FDB, PHYs), building backend abstractions (switchdev, SAI/SONiC, DENT, vendor SDKs), and working cross-functionally to productize the architecture. Requires strong firmware and Linux networking experience and proficiency in C/C++ and Python.

NVIDIA is hiring a Senior DevTech Compute Engineer to prototype and integrate GPU-accelerated approaches for dataframe analytics, high-throughput compression/decompression, and distributed data processing. Requires a Masters/PhD or equivalent experience, at least 5 years relevant work or research experience, strong C/C++ and parallel programming skills (CUDA/ROCm/other), and domain expertise in data processing, compression/codecs, or high-performance distributed databases. Listed base salary ranges: USD 184,000–287,500 (Level 4) and USD 224,000–356,500 (Level 5).

Work on localizing vehicles and associating perception with navigation maps to enable lane-level navigation and advanced autonomous features. Requires 8+ years of experience, strong algorithmic design, expert modern C++ skills (RAII, exception safety), and familiarity with automotive safety/quality standards (MISRA, ISO26262). Productize software for deployment in consumer vehicles and validate algorithms on large-scale real and synthetic datasets.

Join NVIDIA's Analytics and Data Intelligence group to develop and optimize high-performance C++ and CUDA libraries (libcudf) and related components (Velox, Presto). Responsibilities include owning UcxExchange development, optimizing multi-node GPU query performance, and leading projects across Presto, Velox, and cuDF. Requires 8+ years experience and strong modern C++ and parallel/GPU programming skills.

Role to design MLIR dialects and APIs, implement compiler optimizations and kernel generation for neural networks, and collaborate with framework and hardware teams. Requires a BS/MS/PhD or equivalent, 3+ years' relevant experience in performance analysis and compiler optimizations, experience with MLIR/XLA/LLVM, strong C++ and Python skills, and familiarity with GPU programming (CUDA/OpenCL) and deep learning frameworks (PyTorch/JAX). Salary ranges provided for levels 3 and 4.