NVIDIA is hiring a Senior ASIC Design Verification Engineer to verify design and implementation of inference accelerator ASICs, develop verification infrastructure and automated flows, and collaborate with architects, designers, and pre/post-silicon teams. Requires a BS in EE/CS/CE (or equivalent) with 8+ years' relevant experience and strong skills in SystemVerilog, UVM, verification tools (e.g., VCS/Verdi), scripting (Perl/Python/C/C++), and knowledge of the ASIC design flow.

NVIDIA is hiring a Senior Formal Verification Engineer (Canada, remote) to define and execute formal verification for AI-related ASIC designs, develop methodologies and automated flows, and collaborate with architects, designers, and verification teams. Requirements include BS/MS/PhD or equivalent in CS/CE/EE, 12+ years in ASIC verification (8+ years in formal), mastery of SVA, experience with industry formal tools (e.g., JasperGold, VC Formal), and scripting skills (tcl, python). Base salary range stated as CAD 195,000–245,000.

NVIDIA is hiring a Senior Deep Learning Performance Architect focused on hardware-software co-design to advance AI inference performance. Responsibilities include designing GPU/system architectures, constructing and testing deep learning algorithms, building power and performance models of the AI inference stack, and collaborating with software, research, and product teams. Qualifications: MS/PhD or equivalent, 5+ years relevant experience, strong math background in ML/DL, expert programming in C/C++/Python, familiarity with GPU computing (CUDA) and HPC (MPI, OpenMP), and knowledge of computer architecture. Salary ranges provided (USD): 152,000–241,500 for Level 3 and 184,000–287,500 for Level 4.

NVIDIA is hiring a Senior ASIC Design Verification Engineer to verify design, architecture, and micro-architecture of inference accelerator ASICs. Responsibilities include defining verification scope, developing verification infrastructure, collaborating with architects and design teams, and implementing automated verification flows. Requires a BS in EE/CS/CE (or equivalent) and 8+ years experience, strong SystemVerilog and UVM expertise, experience with VCS/Verdi, and skills in functional coverage, assertions, testbench development, and scripting (Perl/Python/C/C++). Salary range provided: CAD 155,000–245,000 per year.

NVIDIA is hiring a Senior ASIC Design Engineer to implement, document and deliver high-performance, area- and power-efficient RTL for SoCs/GPUs. Responsibilities include micro-architecture, RTL implementation (Verilog), synthesis/timing-clean design, and collaboration with architects, verification, synthesis/timing and back-end teams. Required: Bachelors in EE/CE/CS or equivalent, 8+ years' relevant experience, expertise in micro-architecture, RTL, ASIC design flow (verification, logic synthesis, low-power design, timing analysis) and exposure to VLSI, computer architecture and computer arithmetic. Stated base salary ranges (CAD) span 155,000–205,000 for Level 4 and 195,000–245,000 for Level 5.

NVIDIA seeks a Senior SoC ASIC Verification Engineer to define full-chip verification strategies, build verification infrastructure and collaborate with architects, RTL, FPGA and emulation teams. Requires a Bachelor’s degree (or equivalent), 5+ years ASIC DV experience, proficiency in C++/OOP, UVM or SystemVerilog, and experience with SoC/CPU verification.

NVIDIA is seeking a Senior Software Engineer to design and build scalable automation systems, benchmarking frameworks, and performance tools for AI/HPC software across cloud and on-premises environments. The role requires 5+ years of experience, strong system-level programming (C++, Python, or Go), deep OS and kernel knowledge, distributed systems experience, and CI/CD/automation proficiency.

Work directly with founders and engineering teams at AI-native startups to design, build, and deploy accelerated AI solutions on NVIDIA platforms. Act as a technical advisor, drive startup engagement and co-innovation, collaborate with solution architects and product teams, and deliver field feedback to influence product roadmaps. Requires BS/MS or equivalent, 5+ years industry experience (including 3+ years hands-on AI). US-based, remote-friendly; salary ranges provided in posting.

Join NVIDIA to develop and extend machine learning frameworks (PhysicsNeMo, Earth2Studio) for weather and climate AI. Requires 5+ years' relevant experience, strong Python skills, familiarity with deep learning frameworks (PyTorch/TensorFlow/JAX), experience applying ML to weather/climate, and knowledge of HPC/GPU tooling.

Partner with government clients and ecosystem partners to design, prototype, and deploy AI solutions (computer vision, deep learning, generative AI, LLMs). Responsibilities include building demos and collateral, advising on productization and delivery, and driving product requirements. Requires a relevant Master's or equivalent, a minimum of 5 years' technical experience (≥3 years delivering CV/Deep Learning/Generative AI solutions), and hands-on experience with Python, PyTorch and containers. Occasional international travel may be required.

Senior Formal Verification Engineer at NVIDIA responsible for specifying and executing formal verification for AI-related ASIC designs (LPU/GPU), developing formal methodologies and automated flows, collaborating with architects/RTL teams, mentoring junior engineers, and supporting silicon bring-up. Requires 12+ years in ASIC verification with 8+ years in formal verification and expertise in SVA and industry formal tools (e.g., JasperGold, VC Formal).

Role involves building high-performance compiler and runtime components to map large-scale neural network inference workloads to NVIDIA platforms. Requires hands-on experience with compiler/runtime development (LLVM/MLIR), systems-level programming (C++/Rust), deep learning frameworks (TensorFlow/PyTorch/ONNX), and performance profiling/optimization. Minimum 5 years relevant experience and MS/PhD or equivalent experience.

Design and implement high-performance, rack-scale infrastructure software and microservices (Rust/Go/C++). Integrate with hardware/firmware using Redfish/IPMI/BMC, build distributed systems and gRPC APIs, and implement telemetry pipelines (Prometheus/OpenTelemetry/Grafana). Requires 5+ years systems software experience and datacenter/computer architecture knowledge. Salary range listed (USD, annual).

NVIDIA seeks a Senior Technical Program Manager with 8+ years of program management experience to coordinate delivery of GPU/SoC-related kernel, driver, and firmware software. Responsibilities include aligning product and capacity roadmaps, coordinating cross-functional dependencies, making prioritization decisions, collaborating with hardware and release teams, engaging with customers and partners, improving planning systems, and defining execution metrics. Relevant experience includes SoC/GPU/CPU projects, software development background, graphics or ML familiarity, and automation tools.

Design, build, and maintain AI infrastructure software and tools for large-scale pre-training, post-training, and inference. Responsibilities include improving efficiency and resiliency, co-designing APIs with resiliency stacks, defining reliability metrics, and performing root-cause analysis from application to hardware. Requires 8+ years experience, proficiency in Python and C/C++, experience with observability platforms (ELK, Prometheus, Loki), distributed systems, AI training/inference infrastructure and strong debugging skills.

NVIDIA seeks a Senior Networking (InfiniBand/Ethernet) Solutions Architect to work with customers, partners and internal teams to design, deploy and maintain large-scale AI/HPC clusters. Responsibilities include network design and validation, automation and CI/CD for network provisioning, operational reliability (monitoring, logging, alerting), and lifecycle support. Requires at least 8 years' professional networking experience, hands-on experience with EVPN/BGP/OSPF/VXLAN, switch/router platforms (Cumulus Linux, SONiC, IOS, JunosOS, EOS), automation tools (Ansible, Salt, Python), and fluency in English and Japanese.

Director role to drive end-to-end software architecture for NVIDIA rack-scale products (firmware, kernel drivers, OS, networking, fabrics, user-mode drivers, manageability). Requires 15+ years experience and 8+ years management, deep knowledge of server SW/HW interfaces, experience with accelerators (GPUs, DPUs, FPGAs), and customer engagement with hyperscalers/cloud providers. Base salary range listed: 320,000–488,750 USD per year.

Lead technical relationships with OEMs, ISVs, and partners to drive adoption of NVIDIA platforms (CUDA, Omniverse, Modulus, RAPIDS, Triton, etc.) for digital twins, simulation, predictive maintenance, and edge AI in power generation. Requires 8+ years in developer-facing or solution roles, domain familiarity with power-gen operations and industrial IoT/OT, and willingness to travel ~25–40%.

NVIDIA seeks a Senior AI/HPC Engineer to work with customers and internal teams to plan, deploy, operate and optimize large-scale AI/HPC systems. Role requires 4+ years of support/deployment experience, strong Linux system administration, cluster management, schedulers (SLURM/LSF/PBS), scripting, networking, GPU and MPI experience, plus automation tooling (Ansible/Salt/Puppet) and customer-facing skills.

Role to lead Factory Validation and integration for software, firmware, and diagnostics for NVIDIA GPU/DPU products. Responsibilities include coordinating factory projects, engaging with ODMs/OEMs, analyzing and improving factory processes, system testing, and maintaining SOPs. Requires 5+ years relevant experience, 2-5 years in factory integration roles, degree in EE/CS or equivalent, and strong skills in Python, C/C++, shell scripting, server manageability, and GPU platform debugging.