Senior Product Marketing Manager NVIDIA CorpSenior Product Marketing ManagerWAWhat You'll Be Doing: Develop go-to-market plans and content such as web pages, blogs, news, social media, and presentations to help CSPs promote NVIDIA technologies on their cloud platforms. An era in which our platforms act as the brains of computers, robots, and self-driving cars that can understand the world.
Senior Product Marketing Manager NVIDIA CorpSenior Product Marketing ManagerAZWhat You'll Be Doing: Develop go-to-market plans and content such as web pages, blogs, news, social media, and presentations to help CSPs promote NVIDIA technologies on their cloud platforms. An era in which our platforms act as the brains of computers, robots, and self-driving cars that can understand the world.
Supplier Base Engineer - Liquid Cooling Contamination Control NVIDIA CorpSupplier Base Engineer - Liquid Cooling Contamination ControlSanta Clara, CAYou will work closely with Mechanical Design Engineering, Manufacturing Engineering, Supplier Quality, Reliability, Operations, and global suppliers to drive technical excellence from new product introduction through high-volume production. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing.
Supplier Quality Engineer NVIDIA CorpSupplier Quality EngineerSanta Clara, CATo guarantee quality and reliability of memory products, you will partner with cross-functional internal teams - including Hardware Engineering, Product Engineering, Quality Engineering, Reliability Engineering, Technical Marketing, and Commodity Management. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing.
Senior System Software Engineer - Dynamo Tools NVIDIA CorpSenior System Software Engineer - Dynamo ToolsMAIn this role, you'll combine systems research, distributed systems engineering, and applied AI, enabling reproducible performance evaluation, influencing internal platforms, and providing tooling that empowers researchers and engineers globally. Integrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users.
Senior Product Development Engineer NVIDIA CorpSenior Product Development EngineerSanta Clara, CAWe are seeking Product Development Engineers who are experienced, creative problem solvers in various areas and passionate to want to make a visible impact with the work they do. NVIDIAs GPUs are extraordinary in performance and efficiency, and we are continually innovating in creative ways to deliver outstanding solutions in a wide range of sectors.
Compiler Engineer, Infrastructure - New College Grad 2026 NVIDIA CorpCompiler Engineer, Infrastructure - New College Grad 2026CAWe are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on aligning NVIDIA's compiler codebases with open-source ecosystems and improving developer productivity at scale. You will play a central role in reconciling downstream compiler repositories with upstream open-source projects such as LLVM, Clang, and MLIR, while building the tooling, workflows, and infrastructure that enable compiler engineers across NVIDIA to move faster and with higher confidence.
Compiler Engineer, Infrastructure - New College Grad 2026 NVIDIA CorpCompiler Engineer, Infrastructure - New College Grad 2026Redmond, WAWe are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on aligning NVIDIA's compiler codebases with open-source ecosystems and improving developer productivity at scale. You will play a central role in reconciling downstream compiler repositories with upstream open-source projects such as LLVM, Clang, and MLIR, while building the tooling, workflows, and infrastructure that enable compiler engineers across NVIDIA to move faster and with higher confidence.
Senior Customer Technical Program Manager - AI Datacenter NVIDIA CorpSenior Customer Technical Program Manager - AI DatacenterSanta Clara, CACommunicate program health, risks, and key issues proactively to customers, internal partners, and leadership across Hardware, Software, Operations, Business, Quality, Sales, and Product teams-keeping everyone aligned while moving at full speed. Serve as the face of NVIDIA to the customer, leading program kick-offs, technical deep dives, design reviews, issue and bug tracking, qualification and validation efforts, and status updates throughout the product lifecycle.
SoC Product Architect Low Power SoC NVIDIA CorpSoC Product Architect Low Power SoCSanta Clara, CAPartner with CPU, GPU, and IO architecture teams inside NVIDIA to align on shared IPs and integration strategies • Translate customer requirements into architectural constraints; drive PRD development and requirements triage • Engage directly with customers pre-silicon to collect feedback and follow through on product decisions What we need to see: • 12+ years in SoC or product architecture, with deep hands-on knowledge of CPU, GPU, memory, and low-power IO subsystems • Masters Degree in Computer Engineering or Electrical Engineering (or equivalent experience) • Strong understanding of SoC architecture for low power mobile devices, including DVFS, power domains, and retention strategies • Experience with DL inference at the edge (TensorRT, TFLite, ONNX) and mapping workloads to constrained hardware • Track record of driving architecture decisions across multi-functional teams in a large organization Join the future of chip building, you will contribute to innovative products with a dedicated team! What youll be doing: • Define SoC architecture for low-power platforms - CPU, GPU, memory subsystem, low-power IOs, and power management • Drive concept-level PPA trade-off analysis and lead the power/performance budget across the SoC • Architect the memory subsystem (LPDDR5/6, on-chip SRAM, bandwidth, QoS) for constrained power envelopes • Work with DL teams for evaluating and crafting workloads for low power - mapping tasks to constrained hardware; define optimization opportunities in partnership with Nvidias DL team.
Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles NVIDIA CorpSenior Deep Learning and Computer Vision Engineer - Autonomous VehiclesRedmond, WANVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy.
Principal Product Manager, Agentic Workflows - Autonomous Vehicles NVIDIA CorpPrincipal Product Manager, Agentic Workflows - Autonomous VehiclesSanta Clara, CABS/MS (or equivalent experience) in Engineering, Computer Science, or a related field and 15+ years of product management experience spanning both software and hardware platformsDemonstrated experience defining and shipping AI-powered developer tools, platforms, or workflow automation products. You will collaborate with forward-thinking engineers, researchers, and business leaders across NVIDIA to translate the latest AI capabilities into productized agentic solutions-packaging them so they are discoverable, composable, and ready for integration into real-world AV development environments.
Senior Formal Verification Engineer NVIDIA CorpSenior Formal Verification EngineerCA$196,000–$310,500 / yearBS/MS/PhD or equivalent experience in CS/CE/EE • 12+ years in ASIC verification with 8+ years focused on formal verification methods • Mastery of SystemVerilog Assertions (SVA) and formal property verification • Proficient on at least one popular formal verification tool in the industry (JapserGold, VC Formal, etc.) • Good scripting skills for flow automation (tcl, python, etc.) • Good written and oral communication skills • Keen attention to details. You will employ sophisticated formal techniques to acquire sufficiently bounded proofs while working with architects, designers, and pre- & post-silicon verification teams to accomplish your tasks, as well as improve formal verification methodologies and flows.
Senior Firmware Engineer - Ethernet Switching NVIDIA CorpSenior Firmware Engineer - Ethernet SwitchingAustin, TXThis role will require you to participate in the design & development of firmware while working closely with hardware and architecture team to ensure timely delivery of our products to the market. NVIDIA's Networking group is seeking to hire an experienced Firmware Design Engineer for the Ethernet Switch Firmware Core team.
Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model NVIDIA CorpSenior Systems Software Engineer, CUDA Driver - Multi-Node and Memory ModelYou will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
HPC Performance Engineer NVIDIA CorpHPC Performance EngineerMAThis role offers the chance to work with a wide range of applications, from small benchmarks running on single-CPU core to full-scale applications running on multi-node multi-GPU systems. Our performance engineers analyze High Performance Computing (HPC) applications with the intent of improving performance by driving compiler optimizations and library enhancements.
Compiler Engineer, Infrastructure - New College Grad 2026 NVIDIA CorpCompiler Engineer, Infrastructure - New College Grad 2026Austin, TXWe are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on aligning NVIDIA's compiler codebases with open-source ecosystems and improving developer productivity at scale. You will play a central role in reconciling downstream compiler repositories with upstream open-source projects such as LLVM, Clang, and MLIR, while building the tooling, workflows, and infrastructure that enable compiler engineers across NVIDIA to move faster and with higher confidence.
Senior Systems Software Engineer - Fleet Debuggability NVIDIA CorpSenior Systems Software Engineer - Fleet DebuggabilitySanta Clara, CADevelop tooling to collect, normalize, and time-align logs from heterogeneous sources - kernel and driver logs, syslog, Redfish event logs, SEL, firmware and BMC logs - over both in-band and out-of-band channels. A self-starter who loves finding creative solutions to complicated problems, with excellent written and oral communication skills - including executive-level reporting - strong work ethic, and dedication to teamwork.
System Software Engineer - GeForce NOW Low Latency Streaming NVIDIA CorpSystem Software Engineer - GeForce NOW Low Latency StreamingSanta Clara, CAWe optimize for ultra low latencies and smoothest streaming for every device type making the right trade-offs across portability, performance, QoS and latency in our designs. We are looking for a Systems Software engineer to join a team of highly skilled and motivated engineers who build the ultra low latency Streaming technology for GeForce Now.
Senior AI Performance and Efficiency Engineer NVIDIA CorpSenior AI Performance and Efficiency EngineerSeattle, WA$152,000–$241,500 / yearWhat we need to see: BS or similar background in Computer Science or related area (or equivalent experience) Minimum 5+ years of experience designing and operating large scale compute infrastructure Strong understanding of modern ML techniques and tools Experience investigating, and resolving, training & inference performance end to end Debugging and optimization experience with NSight Systems and NSight Compute Experience with debugging large-scale distributed training using NCCL Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds. What you will be doing: • Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings • Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers • Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM's, Videos and more • Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure • Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them.
Senior System Software Engineer - Dynamo Tools NVIDIA CorpSenior System Software Engineer - Dynamo ToolsTXIn this role, you'll combine systems research, distributed systems engineering, and applied AI, enabling reproducible performance evaluation, influencing internal platforms, and providing tooling that empowers researchers and engineers globally. Integrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users.
Senior Software Engineer, AI and DL Kernel Libraries NVIDIA CorpSenior Software Engineer, AI and DL Kernel LibrariesWA$184,000–$287,500 / yearThis means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads. As a member of the team, youll develop libraries, code generators, and GPU kernel technologies for NVIDIAs hardware architecture.
Senior Systems Software Engineer - Autonomous Vehicles NVIDIA CorpSenior Systems Software Engineer - Autonomous VehiclesSanta Clara, CANVIDIA's Autonomous Vehicles Platforms Organization is looking for hands-on System Software Engineers to join our Autonomous Vehicles Fleet Engineering Integration team to define the way autonomous vehicles are taken from concept to large scale fleet operations! This is a visible role that offers an opportunity to closely work with outstanding engineers across different facets of the core platform and AV functions that powers NVIDIA's system software stack behind autonomous vehicles.
Senior Staff Engineer - Enterprise Messaging and Exchange NVIDIA CorpSenior Staff Engineer - Enterprise Messaging and ExchangeSanta Clara, CAThe core of this role is deep ownership of Microsoft Exchange (on-premises, hybrid, and Exchange Online/O365), Azure-based services, and SMTP/IMAP integrations - while also extending into the broader enterprise SaaS ecosystem that keeps NVIDIA connected at scale, including platforms such as Slack, Microsoft 365, SharePoint, and Google Workspace. Partner on the management and operations of large-scale enterprise SaaS collaboration platforms (e.g., Slack, Microsoft 365, SharePoint, Google Workspace), including onboarding, provisioning, policy governance, and lifecycle management.
Performance Engineer, Deep Learning and HPC NVIDIA CorpPerformance Engineer, Deep Learning and HPCSanta Clara, CAOur team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC frameworks/applications on Nvidia and as well as competitive products. In some instances, we'll write scripts that improve the team's ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware.
Senior System Software Engineer - Dynamo Tools NVIDIA CorpSenior System Software Engineer - Dynamo ToolsNYIn this role, you'll combine systems research, distributed systems engineering, and applied AI, enabling reproducible performance evaluation, influencing internal platforms, and providing tooling that empowers researchers and engineers globally. Integrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users.
Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NVIDIA CorpSenior Perception Engineer, Obstacle Foundation Models - Autonomous VehiclesSanta Clara, CAHands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and experience with modern architectures such as CNNs and transformers, plus familiarity with techniques like large-scale pretraining, parameter-efficient fine-tuning (e.g., LoRA), or vision-language models (VLMs). Contribute to the data strategy for perception: specify data and labeling requirements, help prioritize data collection and annotation, and collaborate with data and ground-truth teams, including model-assisted workflows (e.g., active learning, auto-labeling, vision-language models (VLMs)) and model-in-the-loop tooling.
Senior ASIC Design Verification Engineer NVIDIA CorpSenior ASIC Design Verification EngineerCAWhat we need to see: • Bachelors Degree in EE, CS or CE (or equivalent experience) and 8+ years of relevant industry experience • Background with building block and SoC level testbench utilizing strong debugging and analytical skills • Experience in verification using random stimulus along with functional coverage, assertion-based verification methodologies and tools • Expertise in SystemVerilog and Universal Verification Methodology (UVM) • Experience with design and verification tools (VCS, Verdi or equivalent) • Background in UPF power verification is a plus • Experience in netlist and DFT verification is a plus • Perl/Python and C/C++ programming language experience desirable • Knowledge of ASIC design flow, from specification to GDS • Knowledge of applying machine learning to ASIC verification flow. What youll be doing: • As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator • You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks • Implement and optimize automated verification flows to improve productivity and efficiency • Stay updated on the latest trends and advancements in ASIC design verification and incorporate innovative techniques into the verification process.
Senior Frontend Engineer, NVIDIA Marketplace NVIDIA CorpSenior Frontend Engineer, NVIDIA MarketplaceSanta Clara, CAWhat You'll Be Doing: Design, build, and enhance modern web experiences across NVIDIA Marketplace, including product discovery, product pages, shopping cart, checkout, subscriptions, order management, fulfillment, partner integrations, and customer account experiences. Integrate with REST APIs supporting catalog, pricing, payments, orders, fulfillment, customer accounts, and partner services while collaborating with backend engineers building services in Python, Go, Java, and related technologies.
Notebook Hardware Application Engineer NVIDIA CorpNotebook Hardware Application EngineerSanta Clara, CAOur main mission is delivering NVIDIA GPU related technical information to our customers, training our customers to design NVIDIA GPU related products, collaborate with OEM/ODM for new feature development, and supporting our customer to efficiently build NVIDIA GPU related products into the market. We are now looking for a Notebook Hardware Application Engineer in Santa Clara with the ability to work for notebook feature development, build engineering documents, testing and debugging; prioritize customer issues, resolve customer problems, and maintain good customer relation.
Distinguished Resiliency and Safety Architect, GPU Diagnostics NVIDIA CorpDistinguished Resiliency and Safety Architect, GPU DiagnosticsSanta Clara, CAWhat youll be doing: Design, develop, and maintain diagnostics software suite to efficiently stress test NVIDIA GPUs and SOCs to identify hardware defects, including defects that cause silent data corruption. Study silent data corruption, intermittent faults, and hard-to-reproduce failures in the field, including customer returns (RMAs), to establish root causes, and improve detection by diagnostics.
System Software Engineer, Calibration - Autonomous Vehicles NVIDIA CorpSystem Software Engineer, Calibration - Autonomous VehiclesSanta Clara, CAYou will be supporting the calibration team with development and validation of the calibration / egomotion algorithms on vehicles, maintaining and productizing existing calibration approaches, supporting infrastructure in first level triaging and monitoring calibration performance across the fleet. We are seeking software engineers with interests in computer vision, calibration, egomotion, sensor fusion, handling large and complex software systems on automotive and embedded platforms to work as part of NVIDIA's autonomous vehicles team.
Senior System Software Engineer - Data Platform Observability NVIDIA CorpSenior System Software Engineer - Data Platform ObservabilityStrong Full-Stack Fluency: Proficiency in high-performance backend systems programming and modern frontend web frameworks for building responsive user interfaces (Python, JS, Java, Rust, Go, React, or similar). • Build Policy Enforcement Systems: Design and implement the technical infrastructure for data governance, policy engines, access control enforcement points, secure credential management, and audit logging.
Senior Solutions Architect, NPN NVIDIA CorpSenior Solutions Architect, NPNVAWhat you'll be doing: Our day-to-day work involves guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks. Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
Senior Solutions Architect, Networking NVIDIA CorpSenior Solutions Architect, NetworkingSanta Clara, CAA Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA's most strategic technology customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. We are looking for a motivated Solutions Architect or Engineer with experience in designing and building Ethernet Networking fabrics for AI Factories for the purpose of development and testing of Autonomous Vehicles and GenAI (e.g., LLMs) models.
Senior Digital Design Verification Engineer - Hardware NVIDIA CorpSenior Digital Design Verification Engineer - HardwareSanta Clara, CA$136,000–$218,500 / yearThe base salary range is $136,000 USD - $218,500 USD for Level 3, and $168,000 USD - $264,500 USD for Level 4. You will also be eligible for equity and benefits. • Experience in verifying complex SerDes systems, understanding mixed-signal designs, and have experience in modeling of analog circuits a huge plus.
Senior System Architect - LPU Platform Pathfinding NVIDIA CorpSenior System Architect - LPU Platform PathfindingSanta Clara, CA$184,000–$287,500 / yearWhat you will be doing: In this role, you will help shape how our accelerators integrate at rack and system level, working with mechanical, electrical, SI/PI, networking, and data center teams to deliver high-performance, reliable AI platforms. Collaborate with mechanical, electrical, SI/PI, networking, firmware, and data center operations teams to converge on practical architectures and execution plans.
Senior Compiler Engineer - Rust GPU NVIDIA CorpSenior Compiler Engineer - Rust GPUSanta Clara, CAExpose Next-Gen Hardware Features: Implement type-safe, ergonomic device-side abstractions in Rust for low-level GPU hardware primitives, including shared memory, barriers, scoped atomics, Tensor Memory Accelerator (TMA), and warp/cluster-level operations. On this team, you will build cutting-edge compiler pipelines, custom intermediate representation (IR) frameworks, and JIT compilation systems that bridge host and device execution-allowing developers to write memory-safe, high-performance GPU kernels in idiomatic Rust.
GPU Architecture Engineer - New College Grad 2026 NVIDIA CorpGPU Architecture Engineer - New College Grad 2026Santa Clara, CAMore recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
Senior System Architect, Infrastructure Reliability NVIDIA CorpSenior System Architect, Infrastructure ReliabilityAustin, TXGPU Infrastructure Proficiency: Deep experience with the NVIDIA DCGM (Data Center GPU Manager) and NVIDIA Management Library (NVML) for monitoring device health and capturing state-dumps. What youll be doing: • Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure.
Senior Software Engineer, Graphics Performance NVIDIA CorpSenior Software Engineer, Graphics PerformanceTX$184,000–$287,500 / yearMore recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. • Develop and maintain SW technologies targeted at enabling and supporting NVIDIAs GPU hardware on the Linux operating systems, ensuring the best performance and cross-platform implementation.
Senior System Software Engineer - Halos Core and Robotics Platform NVIDIA CorpSenior System Software Engineer - Halos Core and Robotics PlatformSanta Clara, CAAs a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos platform to deliver the best solutions for the new world of mobility.
Senior Software Engineer - Streaming NVIDIA CorpSenior Software Engineer - StreamingSanta Clara, CAWe are now looking for a Senior Software Engineer - Streaming with strong C++ skills and a deep interest in streaming technologies to join a team of highly skilled and motivated software engineers who help build the next generation of applications with media and data streaming capabilities. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles.
Senior System Software Engineer - Dynamo Tools NVIDIA CorpSenior System Software Engineer - Dynamo ToolsCAIn this role, you'll combine systems research, distributed systems engineering, and applied AI, enabling reproducible performance evaluation, influencing internal platforms, and providing tooling that empowers researchers and engineers globally. Integrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users.
Senior Staff Client Platform Engineer NVIDIA CorpSenior Staff Client Platform EngineerSanta Clara, CAIn this role, you will set the vision for platform service delivery, lead multi-functional initiatives, and drive measurable improvements in reliability, security, and developer productivity through advanced software engineering practices. This Senior Staff Client Platform Engineer role is a high-impact technical leadership position dedicated to architecting the NVIDIA's next-generation client platforms.
Solutions Architect, Infrastructure NVIDIA CorpSolutions Architect, InfrastructureSanta Clara, CA$152,000–$241,500 / yearAs part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and organizational spaces - serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and large-scale customer deployments. Proficiency with Linux systems tools for identifying issues and evaluating system performance, such as: dmesg, journalctl, lspci, numactl, ethtool, iostat, perf, nvidia-smi, top/htop, ipmitool, container-level tooling, and related utilities.
Principal SoC Architect - Hardware NVIDIA CorpPrincipal SoC Architect - HardwareWestford, MA$272,000–$431,250 / yearMeaningful industry expertise in SoC architecture definition - Clocks, Resets, Automotive safety, Interconnects, Memory Controller, Boot, Virtualization, Power Management, Security, System Performance, IO technologies, (PCIE, Camera Interfaces, etc), Multimedia accelerator pipelines, CPU/GPU coherency, Platform integration. In this position, you will have the chance to define future aspects of our architectures that bring together NVIDIA GPUs, custom processors and accelerators into a single chip.
Senior Mixed-Signal Design Engineer NVIDIA CorpSenior Mixed-Signal Design EngineerSanta Clara, CA$136,000–$218,500 / yearThis position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence! The base salary range is $136,000 USD - $218,500 USD for Level 3, and $168,000 USD - $264,500 USD for Level 4. You will also be eligible for equity and benefits.
Senior Integration Engineer - Autonomous Vehicles NVIDIA CorpSenior Integration Engineer - Autonomous VehiclesSanta Clara, CANow, NVIDIAs GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. What we need to see: • PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Senior Technical Program Manager NVIDIA CorpSenior Technical Program ManagerNCDrive cross-functional execution across engineering, product, marketing, go-to-market teams, and the open-source community, managing dependencies, aligning stakeholders, tracking software readiness, resolving risks early, and ensuring predictable, high-quality releases. What you'll be doing: Own planning and execution for NVIDIA's GPU-accelerated data science and data processing libraries, building integrated roadmaps that balance long-term strategy, near-term priorities, and engineering capacity while defining program scope, milestones, success metrics, and execution plans.