Role involves designing, implementing, and maintaining automated test scripts and frameworks (primarily Python), owning end-to-end feature test plans, validating software functionality and performance via system/integration testing in Linux-based and virtualized environments (Docker, KVM), managing test environments, analyzing defects, and collaborating with software, DevOps, architecture, and product teams. Requires 5+ years' experience and fluent English. Base salary ranges for Poland are stated (221,250–383,500 PLN for Level 3; 292,500–507,000 PLN for Level 4).

Role requires 8+ years of experience developing BMC firmware for x86 or ARM platforms, board bring-up, device driver development (I2C/I3C/SPI/PCIe/SMBus/mailbox), system management standards (IPMI, PLDM, MCTP, Redfish), strong C/C++ and scripting skills (Bash, Python, Go), Linux expertise, unit testing and static analysis. Location references US (Santa Clara) and remote options.

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 is hiring a Senior Software Architect to co-design next‑generation data center platforms and communications software (e.g., NCCL, NVSHMEM, UCX). The role involves identifying performance bottlenecks, building prototypes, using simulation and quantitative modeling at large GPU scales, and collaborating across hardware and software teams. Requires MS/PhD or equivalent, 5+ years' relevant experience, strong C/C++ skills, parallel programming and communication runtime experience, and deep knowledge of systems, networks, and Linux.

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.

Responsible for architecture, POCs, and end-to-end delivery of fleet health monitoring and fault-remediation solutions for large-scale GPU-based infrastructure. Works with customers, product management, and cross-functional teams; authors design specs, performs code review, drives testing and productization, and manages requirements in Jira. Requires 5+ years hands-on coding and experience with time-series databases (InfluxDB, Prometheus), telemetry visualization (Grafana), firmware architecture, REST APIs, C/C++, and Python.

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.

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).

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.

Work on NVIDIA's DGXC Data Services to design and implement cloud-native data management and storage services (catalog, metadata, dataset/checkpoint lifecycle) for hybrid and multi-cloud infrastructures. Requires backend software engineering experience (5+ years), cloud provider experience (AWS/GCP/Azure), Kubernetes, and programming in Go/Python/C++/Java; experience with distributed systems, object storage, and data-lake tooling is preferred.

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.

NVIDIA seeks a Senior Systems Software Security Engineer to design and deliver security features for Data Center Systems, with emphasis on Root of Trust, firmware, and standards such as OpenBMC, UEFI, SPDM and NIST SP800-193. Requires a BS/MS or equivalent, 5+ years of software/firmware security engineering experience, Python and system programming skills, and familiarity with modern server architectures and data center deployments.

Role involves maintaining and developing Kubernetes operators and a CSI plugin, building a web-based solution to manage distributed storage, and defining/implementing APIs with other teams. Requires 8+ years web development experience, strong Node.js skills, experience with Kubernetes, Python/Bash scripting and Linux. Listed base salary range across levels is 184,000–356,500 USD per year.

NVIDIA seeks a Senior Software Architect for an applied research team building systems-level software to move data between GPUs, nodes, and storage. The role requires 12+ years in systems software and/or networking, expertise in RDMA/InfiniBand/GPUDirect/NVLink, strong C++/Rust skills, and experience with ML system concepts and inference frameworks. Responsibilities include architecting communication libraries, profiling and optimizing data movement, integrating networking into AI stacks, and contributing to open-source projects.

Responsible for designing and executing performance benchmarking strategies, characterizing AI training/inference and HPC workloads at scale, identifying bottlenecks across compute/memory/network/storage, building automation tools, and driving system tuning and architectural recommendations. Requires M.S./Ph.D. or equivalent, 8+ years in performance engineering or system architecture, proficiency with profiling tools (Linux perf, Nsight), CUDA, HPC networking (InfiniBand/RoCE/NVLink), and programming in Python and C++.

Lead design and implementation of a unified multi-tier memory/storage layer and KV-cache systems for low-latency, high-throughput LLM inference. Requires 15+ years building large-scale distributed or storage systems, strong C/C++ and Python experience (Rust preferred), deep knowledge of GPU/host memory hierarchies, RDMA/GPUDirect/NVLink/NVMe-oF technologies, and experience integrating with LLM serving engines.

Role to design and implement an automation factory pipeline that converts AI models into validated, deployable NIM services across Cloud, On‑prem and Kubernetes. Responsibilities include infrastructure, pipelines, Docker builds, test harnesses, metrics, performance engineering and observability. Requires strong experience in distributed systems, containerization (Docker, K8s), CI/CD, cloud technologies and 8+ years of relevant experience; BS/MS in CS or equivalent preferred.