Lead technical and business strategy to drive adoption of NVIDIA software and hardware across selected industries in India. Develop the India developer ecosystem with cross-functional teams, engage with AI-native startups and ISVs, run webinars/workshops/meetups, accelerate application integrations with NVIDIA libraries and SDKs, and provide mentorship and technical support. Requires 8+ years experience, strong cloud and containerization knowledge, and expertise in C/C++/Python and AI/ML/Deep Learning technologies.

Work involves developing infrastructure and tools to automate complex software processes, implementing benchmarking and profiling frameworks, and applying deep knowledge of OS internals, device drivers, memory, storage, networking, and high-speed interconnects. Requires 5+ years industry experience, proficiency in C++/Python/Go, experience with distributed systems, CI/CD, containerization (Docker, Kubernetes), and performance/debugging of compute workloads.

Lead and deliver complex, high-impact programs across software engineering and product teams at NVIDIA's R&D Center. Responsibilities include program ownership, release and risk management, technical alignment with system architecture, stakeholder communication, metrics tracking, and driving continuous improvement. Requires strong technical background, experience with tools like Jira/NVBugs/Confluence, Agile/PLC methodologies, and 8+ years in technical program management.

Join NVIDIA's NGC organization to design and build software for managing multi-tenant cloud infrastructure. The role involves building network and systems automation, developing maintainable APIs, working with internal stakeholders, and participating in open-source communities. Requires 8+ years experience in distributed systems and proficiency in systems languages such as C/C++, Go, or Rust, plus experience with persistence, secure communication protocols, and networking concepts.

NVIDIA seeks a Senior Solutions Architect for the Continuous Bring Up (CBU) Networking role to stabilize AI Factory clusters after handover, address customer change requests on network topology and workload optimization, and collaborate with CBU DevOps and Infrastructure Solutions Architects. Requires 8+ years in networking for AI/HPC clusters, proficiency with InfiniBand/Ethernet, EVPN/BGP/OSPF/VXLAN, experience with switch/router platforms (Cumulus Linux, SONiC, IOS, JunosOS, EOS), and ability to develop CI/CD pipelines for network operations. Strong English communication and customer-facing skills are essential.

NVIDIA seeks a Senior Architect to guide software design, architecture, and implementation of cost, power, and performance modeling for datacenter-scale GPU-accelerated platforms. Requires 8+ years in systems architecture and modeling, strong Python skills, and experience with datacenter/server architecture, parallel computing, data analysis, and DevOps practices.

Responsible for driving system architecture and software solutions for NVIDIA deep learning server platforms, collaborating with application, library, system software and firmware teams, customers, vendors, and partners. Requires 10+ years in system architecture/design, deep knowledge of SW/HW interface, experience with HPC/deep learning workloads, and familiarity with device management protocols (e.g., Redfish, IPMI, MCTP, PLDM, RDE).

Lead architecture for cloud-networking and security solutions, design system architecture for DPUs & NICs, build end-to-end solutions from application to hardware level, evaluate technologies and develop prototypes. Requires 5+ years as a Software or Systems Architect, strong software development experience, deep knowledge of C and Python, Linux development, cloud-networking and networking protocols; experience with DPDK, OVS/OVN, containers and Kubernetes is a plus.

NVIDIA seeks a Software Engineering Manager for image and data compression libraries (US-based, hybrid/remote). Role requires at least five years' experience including three or more years managing teams; strong technical skills in C++ and Python; experience with parallel programming and performance optimization on modern architectures (CUDA, MPI, NVSHMEM, NCCL, AVX, etc.); and familiarity with image processing and compression algorithms. Base salary range: 200,000 USD - 322,000 USD.

Role involves designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, providing technical leadership, and collaborating with product and QA teams. Requires an MSc/PhD (or equivalent) in a related field and 5+ years developing and optimizing numerical linear algebra software using C++ and parallel programming (ideally CUDA, MPI, OpenMP, OpenACC, pthreads).

Researches and develops techniques to accelerate deep learning, machine learning, and AI workloads on modern CPU and GPU architectures. Works with developers and researchers to analyze and optimize complex algorithms, publish findings, and influence hardware and software design. Requires a Masters (or equivalent) and 8+ years of relevant experience with C/C++, CUDA and parallel programming frameworks.

Responsible for designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, leading projects and mentoring engineers. Requires 8+ years experience, a degree in CS/Applied Math or equivalent, strong C++ skills, expertise in kernel generation and JIT, and experience with GPU-related technologies (CUDA) and performance optimization. Base salary range shown: $184,000–$356,500 depending on level.

NVIDIA is hiring a Senior HPC Architect to architect, develop, and bring up large-scale GPU-accelerated performance platforms. Responsibilities include system administration, at-scale system analysis, performance tuning, and operationalizing GPU software stacks. Requires 8+ years in accelerated/datacenter/HPC computing, experience with scheduling and I/O stacks, parallel filesystems, and programming/scripting (C/C++/Python/Bash). Base salary ranges provided: 184,000–287,500 USD (Level 4) and 224,000–356,500 USD (Level 5).

Role involves partnering with NVIDIA engineering, product, and sales to secure design wins; performing proof-of-concepts and in-depth profiling/optimization of ML/DL models on GPU architectures; working with client ML researchers and engineers; and producing collateral (notebooks, blogs) for finance use-cases. Requires 12+ years of relevant experience and strong Python/C++ and ML/DL framework knowledge.

NVIDIA seeks a Senior CPU Design Engineer to drive micro-architecture definition, implement RTL (Verilog/SystemVerilog), collaborate with verification and physical design teams, and meet performance, timing and power targets. Requires BS/MS in EE/CE (or equivalent) and 8+ years of experience in micro-architecture and RTL development of high-speed CPU-related designs; proficiency in logic design, physical design/VLSI, and scripting (Python/Perl).

NVIDIA seeks a Senior Software Architect for the GPU Communications Libraries and Networking team to design and implement communication technologies and co-design HW/SW platforms for large-scale DL and HPC clusters. Responsibilities include investigating performance bottlenecks, building proofs-of-concept, simulation and quantitative modeling. Requirements: M.S./Ph.D. or equivalent, 5+ years relevant experience, strong C/C++, experience with parallel programming models and communication runtimes (MPI, NCCL, NVSHMEM, UCX, etc.), deep knowledge of OS, system and network architecture, and strong Linux skills. Locations listed in the US (Westford MA, Austin TX, Durham NC, Santa Clara CA) and Remote. Salary ranges provided for levels 4 and 5 (USD).

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.

Design and implement digital and mixed-signal circuit IPs for voltage and noise sensing, perform detailed transistor-level analysis (SPICE, EM/IR, timing) and prototype ideas on test chips. Requires BSEE (MS preferred) and 8+ years of relevant experience; role includes mentoring junior engineers and cross-functional collaboration.

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).