Job Description

You will own the development and execution of your sales strategy in a territory that aligns with the company's goals and objectives. Your responsibilities include:

• Identifying and qualifying leads, and generating new Fortune 1000 opportunities to achieve quota on a quarterly and annual basis
• Building strategic working relationships with clients, maintaining a high level of face-to-face contact
• Analyzing potential sales opportunities using data analysis and segmented research to identify the attributes most valued by potential clients
• Developing a deep understanding of the competitive landscape and maintaining a client database

The ideal candidate will be located in the San Francisco Bay Area region. The expected On-Target Cash Earnings for this role is between $320,000-$350,000 per year.

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In this role, you'll partner with engineering leaders to transform strategic priorities into execution plans. You'll improve operating practices and lead sophisticated programs from planning through launch and adoption.

Responsibilities:

• Lead operational planning across engineering teams, aligning roadmaps, capacity, and commitments with business priorities.
• Establish a consistent cadence for portfolio reviews, delivery tracking, risk management, and leadership updates.
• Drive cross-functional execution, resolve dependencies, and ensure clear ownership of achievements and outcomes.
• Improve intake and prioritization processes to make resource decisions and delivery tradeoffs clear.
• Collaborate with engineering and product leaders to coordinate launch readiness, adoption, and ongoing improvements.
• Define metrics that connect engineering delivery to platform reliability, employee efficiency, and business value.
• Use automation and AI to improve operational workflows, reporting, and decision-making.
• Bring structure to ambiguous initiatives and surface decisions that require leadership alignment.

Requirements:

• Bachelor's degree in Engineering, Computer Science, Business, or a related field, or equivalent experience with 15+ years experience.
• Significant experience leading engineering operations, technical programs, or complex enterprise technology portfolios.
• A track record of improving planning and execution across multiple engineering teams.
• Excellent judgment in prioritization, resource planning, dependency management, and navigating ambitious commitments.
• Ability to influence senior collaborators, build alignment, and drive accountability across interpersonal boundaries.
• Experience defining meaningful metrics and translating data into recommendations and decisions.
• Clear communication, including concise executive reporting and recommendations on risks and tradeoffs.
• Technical proficiency across enterprise platforms, software delivery, and AI-enabled experiences.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD.

You will also be eligible for equity and benefits.

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As a trusted consultant, you will craft bold people strategies and guide senior leaders. You will work with leaders to develop plans for staffing, onboarding, development, empowerment, retention, and work prioritization.

Responsibilities:

• Offer counsel on challenging HR topics, organizational frameworks, and talent strategy to senior leadership.
• Lead compensation strategy, including salary planning, approval of salary actions, relocations, promotions, and job re-leveling.
• Examine and communicate data from engagement surveys and collaborate on action planning with senior leaders, HRBPs, and Regional HR Teams.
• Guide and resolve complex workplace concerns, leading leaders through performance management and making strategic decisions.
• Lead HR metrics and analytics strategy, advising business unit leaders on goals and driving automation and reporting innovation.
• Develop and launch NVIDIA global HR programs.

Requirements:

• Bachelor's/Master's Degree in Human Resources Management or related field.
• 12+ years of progressive Human Resources experience, with significant time as a senior client-facing HRBP.
• Proven ability to work with senior leaders to drive organizational and people strategy.
• Analytical expertise in HR data.
• Proficiency in Microsoft Office and Workday/HRIS systems.
• Deep knowledge and experience in compensation strategies and practices.
• Expertise in organization assessment, planning, and development.
• Advanced expertise in 4 or more of: immigration, recruiting, learning & development, performance management, compensation, mobility.

Preferred Qualifications:

• Demonstrated ability to build relationships with executives and international client teams.
• Strong analytical and strategic problem-solving capabilities.
• Outstanding verbal and written communication skills.
• Agile and decisive, with ability to manage multiple high-priority projects.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD for Level 4, and 184,000 USD - 299,000 USD for Level 5. You will also be eligible for equity and benefits.

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Responsibilities:

• Build FPGA prototypes by making RTL FPGA-friendly, partitioning the design, and taking it through synthesis and place and route.
• Improve performance of the prototype, analyze timing, and generate bit streams.
• Bring up the design on FPGA prototyping platforms and indulge in problem-solving.
• Release the prototype to customers and support them when they face problems.
• Understand the design and implementation, define configurations, develop/modify bringup and testing infrastructure, and verify the correctness of the design.
• Coordinate with architects, designers, verification engineers, and software teams to accomplish tasks.

Requirements:

• BS (or equivalent experience) in Electrical Engineering, Computer Engineering, or related fields with 12+ years of experience, or MS with 10+ years of proven experience in FPGA prototyping.
• Good understanding of FPGA prototyping architecture, devices, flows, and tools.
• Experience in backend flows of FPGA Prototyping - Synthesis, P&R, and Timing closure, with emphasis on Synopsys Protocompiler or Siemens VPS and Xilinx Vivado.
• Exposure to ASIC design and verification tools (VCS or equivalent, Verdi, GDB).
• Knowledge of Verilog, System Verilog, and digital design concepts.
• Good debugging and problem-solving skills.
• Hands-on experience with lab FPGA debug methodologies, tools (Identify or ChipScope), and lab debug equipment (oscilloscopes, logic analyzers).

Nice to Have:

• Scripting knowledge (Perl/shell/Tcl).
• Good documentation, communication, and interpersonal skills.
• Experience with memory bring-up of Memory (LPDDR5/6, DDR5/6), CXL/PCIE, and/or high-speed I/F such as USB4/3.
• Prior experience with hardware emulation or prototyping (Synopsys HAPS or Siemens ProFPGA) of a high-performance processor or SOC.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits.

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As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work. NVIDIA is widely recognized as one of the most desirable employers, with some of the most versatile people in the world working for us.

We are looking for a Senior Software Engineer to join our DGX Cloud / Fleet Intelligence team and build agent-side systems that collect GPU health, host telemetry, inventory, attestation evidence, and BMC data across NVIDIA’s GPU fleet. This role includes contributing to open source software used by developers, operators, and customers working with NVIDIA GPU infrastructure.

Responsibilities

This role focuses on Fleet Intelligence in-band agent and out-of-band collector systems used for GPU health monitoring, host and BMC telemetry, inventory, attestation, diagnostics, and cloud operations automation, you will:

• Design and develop Fleet Intelligence agent software that runs on Linux hosts, bare metal systems, and Kubernetes GPU nodes.
• Build telemetry and health collection for NVIDIA GPUs, DCGM/NVML, drivers, CUDA runtime, InfiniBand, containers, kernel/OS state, CPU, memory, disk, and networking.
• Develop inventory, enrollment, node identity, local state, attestation, and backend export workflows and maintain local API, Prometheus metrics, file export, and OTLP/HTTP export paths.
• Build and improve Kubernetes daemonset deployment, systemd service packaging, .deb/.rpm packaging, and container image workflows.
• Contribute to open source Fleet Intelligence agent and collector software, including code, tests, documentation, release artifacts, and community-facing engineering practices.
• Contribute to out-of-band collection using Redfish/BMC interfaces for inventory, GPU attestation, BMC metrics, and logs.
• Improve collector concurrency, rate limiting, retry behavior, credential handling, partial-failure handling, and backend submission semantics.
• Collaborate with backend, infrastructure, SRE, security, and datacenter operations teams to deliver reliable GPU fleet observability.

Requirements

• 5+ years of industry software engineering experience with a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• Strong Go development experience for Linux services, CLIs, agents, or daemons.
• Rust experience, or strong willingness to work in Rust, for out-of-band collector development.
• Strong Linux systems knowledge, including processes, filesystems, networking, service lifecycle, logs, permissions, and host diagnostics.
• Experience with telemetry, observability, health monitoring, or fleet-management systems and with Docker, Kubernetes, Helm, and production deployment workflows.
• Experience contributing to open source projects or working in public repositories with code review, issue tracking, documentation, release notes, and signed commits.
• Familiarity with secure credential handling, enrollment flows, tokens/JWTs, and service-to-service authentication.
• Strong debugging skills across hardware-adjacent software, operating systems, containers, and distributed backend integrations.

Nice to Have

• Background with NVIDIA datacenter GPUs, DGX systems, DCGM, NVML, CUDA, GPU drivers, XID/SXID events, or GPU diagnostics.
• Experience building host agents, node agents, collectors, monitoring daemons, or Kubernetes daemonsets.
• Background with Redfish, BMCs, firmware inventory, secure boot state, PCIe device inventory, or hardware attestation.
• Experience with OpenTelemetry, Prometheus, OTLP gateways, or metric/log export pipelines and operating software in AI, HPC, cloud, or large-scale datacenter environments.
• Track record of meaningful open source contributions in systems software, observability, Kubernetes, Linux, hardware telemetry, Rust, or Go ecosystems.

You will also be eligible for equity and benefits.

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In this role, you will be involved in the latest AI developments, uphold security standards, and contribute to powerful projects alongside top talent in Santa Clara, CA.

Responsibilities

• Develop shift-left solutions that embed security standards directly into AI-generated code, ensuring constraints, scaffolds, rules, and guardrails are applied during the coding process rather than post-shipment.
• Convert written security standards into machine-enforceable formats, enabling programming assistants and pipelines to apply them seamlessly without manual interpretation.
• Engineer verification workflows that confirm generated code meets claimed standards, providing evidence for downstream release gating and policy enforcement.
• Maintain and evolve evaluation harnesses, reference repositories, known-bad cases, and encouraged findings to ensure constraint-steered agents produce conformant code amid changing models, patterns, and tooling.
• Convert approved architecture patterns into secure, runnable reference implementations, such as templates, Helm charts, container images, and worked examples, ensuring their reliability as platforms evolve.
• Elevate AI solutions from prototypes to enterprise-grade products, focusing on versioning, observability, latency and cost budgets, access control, audit, graceful failure, and a detailed support and deprecation model.
• Set the enterprise-grade architecture standards for AI tooling in a security context, determining qualification criteria and monitoring adoption and outcomes to ensure efficiency.
• Collaborate with teams developing their own AI and automation solutions, reviewing builds, sharing platforms, raising engineering standards, and staying engaged through adoption, validation, and residual-risk closure.

Requirements

• 8+ years in security engineering, platform engineering, product security, infrastructure security, DevSecOps, developer experience engineering, or software engineering for large distributed systems.
• Expertise with AI coding agents and the tooling that builds their output, including context and constraint injection, rules and scaffolds, plan-mode and tool integrations, and development guided by detailed specifications.
• Proven skill in building evaluation harnesses and regression suites for non-deterministic systems, including reference cases, result verification, conformance measurement, and regression detection.
• Proficiency in cloud-native and containerized environments, including Kubernetes, Helm, container image hardening, and the composition of identity, networking, and infrastructure primitives into secure systems.
• Strong software engineering fundamentals in a language such as Python or Go, with experience in CI/CD pipelines, static analysis, code generation tooling, policy-as-code, schema validation, Git workflows, and automated publishing.
• Proven track record of taking systems from prototype to production at enterprise standards, including reliability, versioning, observability, access control, documentation, and support models.
• Practical grounding in security architecture, including threat modeling, control selection, isolation boundaries, workload identity, secrets handling, logging, and audit, with the ability to render specifications machine-checkable.
• Ability to operate as both an architect and engineer, reviewing builds, explaining technical trade-offs, influencing without direct authority, and improving team capabilities.
• BS/MS in Computer Science, Engineering, or equivalent experience.

Nice to Have

• Experience in shipping tooling that steers or constrains code-generating agents at generation time.
• Providing attestation, provenance, or supply chain evidence for downstream use, including signing, verifiable claims, or build-time evidence.
• Productizing internally built AI tooling, taking demos to enterprise-grade solutions with evaluation, guardrails, cost controls, and operational support.
• Establishing a golden-path, paved-road, or internal developer platform program at scale, including content models, tooling, and adoption strategies.
• Engagement in ongoing technical development or knowledge sharing to broaden risk reduction strategies, through open-source work, technical writing, standards work, conference talks, mentoring, or community participation.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.

You will also be eligible for equity and benefits.

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Responsibilities:

• Manage the NALA resource and headcount-planning process, including collecting requests and business reasons from sales leaders, facilitating prioritization, monitoring approved and open roles, and preparing executive materials for leadership reviews.
• Support Zoom onboarding and enablement for the sales organization, including coordinating user access, training, office hours, adoption activities, communications, usage reporting, and issue resolution.
• Develop and maintain dashboards, trackers, reporting tools, and centralized resources that provide a reliable, one-stop view of account, organizational, headcount, and business information.
• Analyze territory and account performance to identify coverage gaps, productivity concerns, business risks, and areas requiring additional leadership attention.
• Coordinate the sales-out target-setting process across NALA industries, teams, and Account Managers, working closely with Finance and sales leadership to ensure accurate and timely allocations.
• Produce recurring and ad hoc data analyses for RISLs, RISMs, and AMs, translating complex information into clear insights that support business decisions and field execution.
• Support Salesforce account governance and data quality, including account ownership, reassignment, visibility, and opportunity-management issues.

Requirements:

• Bachelor’s degree or equivalent experience and 5+ years of experience in sales operations, business operations, revenue operations, analytics, or a related field.
• Demonstrated ability to manage complex operational processes involving multiple collaborators, competing priorities, and firm deadlines.
• Strong analytical abilities and the capacity to convert business data into clear insights, suggestions, and communications suited for executives.
• Advanced Microsoft Excel and PowerPoint skills, with experience developing analytical models, dashboards, trackers, and leadership-ready presentations.
• Experience with Salesforce and business-intelligence tools such as Power BI.
• Strong written and oral communication skills, with the capability to engage successfully with senior leaders and teams spread across different locations.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility
• See [www.nvidiabenefits.com](http://www.nvidiabenefits.com) for more information

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Responsibilities:

• Own positioning, messaging, and value propositions for assigned products and use cases, aligned with Forward’s company narrative.
• Lead product launches end to end, coordinating readiness, announcements, field enablement, and post-launch measurement with product, sales, and marketing.
• Partner with product management to translate technical capabilities into clear customer outcomes and bring customer and market insight into product priorities.
• Create compelling product content and sales assets, including pitch decks, solution briefs, competitive battlecards, and demo narratives.
• Represent Forward as a credible product and industry expert at conferences, trade shows, webinars, and customer and partner meetings.
• Lead competitive and market research for assigned areas, informing positioning and deal strategy.

Qualifications:

• Experience in enterprise software or B2B technology, with 7+ years in product marketing.
• Proven track record of launching technical products and developing positioning, messaging, and sales assets that help the field win.
• Strong technical aptitude and familiarity with networking, security, cloud infrastructure, automation, or agentic AI systems.
• Excellent writing skills, supported by a portfolio of compelling product content for technical and business audiences.
• Confident presenter who can represent Forward as a credible expert at conferences, webinars, and customer, partner, and analyst meetings.

The base pay range for this role is between $165,000 and $200,000.

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You will connect TDE with NVIDIA's engineering and operations teams, shape test strategies, coordinate technical decisions, and bring shared software and test capabilities into networking production testing.

Your experience with production testing and systems such as servers, PC reference validation platforms (RVPs), and other multi-component hardware will help teams develop test solutions that meet both engineering requirements and manufacturing needs.

Responsibilities

• Partner with Santa Clara test engineering teams to develop production tests for platforms that combine networking ASICs, microcontrollers (MCUs), and other components.
• Guide test architecture, coverage, and failure diagnosis for complex hardware platforms, drawing on your experience developing and deploying production tests.
• Work with security teams to incorporate security requirements into test methods and workflows.
• Coordinate technical decisions, priorities, and dependencies across teams so TDE's roadmap stays aligned with GPU engineering and platform development.
• Collaborate with CPU and GPU test diagnostics teams to reuse software, components, and test flows, with a focus on shared capabilities across L10 and L11 system test levels.
• Participate in new platform projects from the planning stage, bringing TDE's requirements and expertise into design and test decisions.
• Help teams evaluate and adapt existing test capabilities to reduce duplicate development and shorten production timelines.
• Represent TDE in technical discussions, planning sessions, and reviews.

Requirements

• A bachelor's or master's degree in Computer Science, Electrical Engineering, or Information Systems (or equivalent experience).
• 15+ years of experience in product engineering, including technical leadership in production operations for systems such as PCs, servers, or networking devices.
• Hands-on experience developing software and production test solutions.
• Experience defining test strategies that balance coverage, reliability, test time, and manufacturing requirements.
• Background with working directly with contract manufacturers (CMs), joint design manufacturers (JDMs), and original design manufacturers (ODMs).
• Experience defining statements of work (SOWs), developing test plans, and coordinating test release deployment at manufacturing sites.
• Experience guiding technical decisions and coordinating delivery across engineering and operations teams.
• The ability to explain technical tradeoffs, build agreement across teams, and support collaboration across locations and time zones.

Benefits

• Competitive salaries
• Generous benefits
• Equity

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Responsibilities:

• Define, design, develop, and verify features for next-gen RISCV controllers on the GPU
• Follow devices through the development process to customer products
• Engage in early modeling and simulation for world-class products
• Collaborate with global teams

Requirements:

• BS or MS degree in Computer Engineering, Computer Science, or related field
• 8+ years of software development experience, especially with embedded systems
• Hands-on technical background with excellent C programming and embedded, device driver development experience
• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals

Preferred qualifications:

• Familiarity with RISCV architecture
• Experience with toolchains like gcc, gdb
• Background in embedded system SW concepts, e.g., RTOS and overlay programming models
• Experience with simulation, emulation, and HW development cycle
• Good documentation and communication skills

Benefits include equity and other perks.

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Responsibilities:

• Take ownership of delivering rack-scale infrastructure software within a cross-functional organisational structure
• Translate business needs and evolving hardware roadmaps into release priorities and achievable plans
• Partner with architects and technical leads on control planes, lifecycle orchestration, health analysis, and recovery
• Build and develop the team through hiring, mentoring, and clear performance expectations
• Establish effective planning, validation, release, and issue triage practices
• Coordinate with firmware, platform, networking, quality assurance, security, and operations teams to deliver coordinated capabilities
• Be responsible for the team's open-source delivery and support practices
• Communicate priorities, progress, and tradeoffs clearly to engineers, collaborators, and leadership

Requirements:

• Bachelor's, master's, or doctoral degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
• 12+ years of engineering experience in systems software, platform software, server firmware, or data centre infrastructure
• Proven track record delivering production software across multiple programs in a matrix organisation
• Solid technical background in Linux, distributed systems, application programming interfaces, state machines, and failure handling
• Software development experience in Go, C++, or Rust
• Proven capability to guide distributed engineering groups, recruit and nurture engineers, cultivate technical leaders

Nice to Have:

• Experience across the rack-scale systems lifecycle
• Familiarity with NVIDIA GB200 or GB300 systems
• Experience with Kubernetes controllers or operators, declarative control planes, and simulation or fault injection
• Hands-on experience with baseboard management controller software, OpenBMC, embedded Linux, Python, and server debugging
• Built open-source infrastructure software used by external teams

Benefits:

• Competitive salary ($248,000 - $391,000 per year)
• Equity and benefits package

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Responsibilities:

• Manage the entire supply planning process for Boards and Systems, converting business priorities and demand signals into actionable supply plans that support revenue and customer commitments.
• Build and continuously improve a coordinated planning framework spanning chips, networking, memory, capacity, and boards and systems manufacturing to support scale and execution.
• Drive planning accuracy by establishing a disciplined operating cadence with cross-functional owners for critical inputs, including BOM structures, factory yields, cycle times, and capacity assumptions.
• Improve supply responsiveness and time-to-market by simplifying planning processes, resolving supply constraints, and deploying advanced planning methodologies, including AI-enabled capabilities.
• Lead and develop a global planning team, setting clear priorities, strengthening planning rigor, and building capabilities through mentoring, knowledge sharing, and talent development.

Requirements:

• Over 15 years of advancing experience in supply planning, manufacturing planning, or supply chain, with strong expertise in boards and systems.
• Strong executive communication and cross-functional influence, with the ability to translate complex supply issues into clear decisions and actions.
• 8 plus years in management with proven people leadership experience building and developing high-performing, multi-site global teams.
• Strong understanding of manufacturing processes, capacity planning, material planning, and MRP.
• Demonstrated success implementing planning tools and processes and driving sustained adoption across teams.
• Experience supporting data center, AI, Workstation, or high-performance computing products in a sophisticated, fast-paced supply environment.
• Bachelor’s degree in a technical, business, or supply chain field, or equivalent experience; MBA or advanced degree is a plus.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

The base salary range is 216,000 USD - 339,250 USD.

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The role involves measuring and improving the security, content safety, and inclusivity of frontier models. Key areas of focus include:

• LLM Security: backdoors, data poisoning, latent malicious behavior, and structural model vulnerabilities
• Frontier Risks: advanced alignment challenges, including model deception, manipulation, and loss-of-control scenarios
• Agentic Safety: LLM-level safety for autonomous systems, including multi-turn tool-calling, orchestration, and execution risks
• Multi-turn Safety Evaluation: robust, scalable automated evaluation methodologies for conversational and iterative multi-turn use cases

Responsibilities:

• Develop datasets and specialized models & algorithms to evaluate/benchmark models & end-to-end systems in core safety tracks (LLM Security, Agentic Safety, Content Safety, Hallucinations, and ML Fairness)
• Develop datasets and recipes for filtering training data, developing training datasets & recipes, including components like RL environments and teacher models, across core safety tracks
• Research & deploy new approaches, like Instruction Hierarchy or Risk Detection
• Partner with engineers, data scientists, and research teams across NVIDIA to scale solutions for LLM Security, Agentic Safety, Content Safety, Hallucinations, and ML Fairness

Requirements:

• Master's or PhD in Computer Science, Electrical Engineering, or a related quantitative field (or equivalent experience)
• 8+ years of proven experience in systems software engineering or machine learning engineering
• 4+ years of hands-on work experience in post-training of LLMs, including Supervised Fine-Tuning (SFT), Reinforcement Learning (RLHF/RLAIF), safety data generation techniques, ablation studies, and deploying models to production
• 1+ years of dedicated experience or research in at least one of the following areas: LLM Security, Frontier Risks, Agentic Safety, Multi-turn Safety Evaluation
• In-depth knowledge of machine learning principles and frameworks (PyTorch preferred) with strong Python programming skills
• Experience working with large multimodal datasets and multi-modal foundational models
• Outstanding analytical problem-solving abilities paired with excellent collaboration and communication skills
• Demonstrates behaviors that build trust: humility, transparency, respect, and intellectual honesty

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

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Responsibilities:

• Develop compelling stories that showcase how NVIDIA software and models are advancing AI across various sectors such as manufacturing, healthcare, and finance.
• Highlight core technologies and work with the open source community and open models.
• Pitch stories and collaborate with reporters to secure impactful press coverage.
• Develop strong, long-term relationships with NVIDIA AI software teams and media.
• Work closely with cross-functional teams to successfully implement PR strategies that elevate the brand.
• Resolve most effective ways to communicate messages and ensure they resonate with diverse audiences.

Requirements:

• 12+ overall years of PR/comms experience at leading tech companies/agencies
• Bachelor’s degree or equivalent experience.
• 5+ years of management experience
• Outstanding written and verbal communication skills.
• Proven ability to uplevel technical messages into compelling narratives.
• Demonstrated eagerness to seek out challenges and anticipate needs.
• Highly diligent with outstanding project-management skills.
• Think outside of launches to advance narratives through proactive opportunities
• Proven track record of generating impactful media coverage for technology.

Preferred Qualifications:

• Experience at a leading AI software provider.
• Voracious appetite for AI, enterprise, and data center news.
• Ability to navigate across multiple collaborators to gather insights and support business goals.

The base salary range is 196,000 USD - 310,500 USD. You will also be eligible for equity and benefits.

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We're looking for a storyteller who can turn complex technology into narratives people want to engage with, and who enjoys building the relationships , with reporters, researchers, partners, and colleagues around the world , that make those stories land.

Responsibilities:

• Develop compelling stories that showcase how open-source NVIDIA Nemotron models are advancing AI for the industry.
• Showcase how NVIDIA model research is deepening understanding of AI and pioneering new technologies.
• Drive campaigns that deepen understanding of how open models broaden access to frontier-level AI that organizations can post-train for their own domains.
• Shape key messages and coach teams on adapting their delivery for diverse audiences.
• Pitch stories and work with reporters to secure meaningful press coverage.
• Build strong, long-term relationships with NVIDIA teams as well as traditional and emerging media.
• Connect the dots across cross-functional teams to amplify success.
• Team with regional colleagues to showcase AI model innovation around the globe.

Requirements:

• 8+ years of PR or communications experience at leading technology companies or agencies
• Bachelor's degree or equivalent experience.
• Excellent written and verbal communication skills, including experience writing clear, articulate press releases on complex topics.
• Strong executive presence and success working with senior executives for media relations.
• Experience translating technical material into narratives that resonate with non-technical audiences.
• A track record of generating meaningful media coverage for technology.
• Project-management skills and attention to detail, including thoughtful use of AI tools.
• Comfort working across many collaborators to gather insights and support business goals.
• Genuine interest in shaping narratives for a fast-moving, foundational technology.
• Ability to work onsite at our Santa Clara campus.

Preferred Qualifications:

• Experience in PR at an AI model or software technology company.
• A strong interest in AI, enterprise, and data center news.
• Writing samples and examples of earned media coverage you're proud of.
• Established relationships with technology reporters covering AI and related industries.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 4, and 168,000 USD - 270,250 USD for Level 5.

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Key Responsibilities:

• Own silicon bring-up schedule from power on to production release
• Negotiate silicon and board demand with teams and drive a bottom-up forecast
• Oversee and manage chip and board allocations across the company
• Lead prototype chip delivery to internal customers
• Track and coordinate engineering deliverables, key milestones, and qualification/validation tasks in the new product introduction phase
• Identify and mitigate risks to schedules and programs
• Communicate status to cross-functional teams as well as upper management
• Continuously evaluate internal tools and processes and drive fixes to improve productivity
• Create new and fix existing processes between different teams
• Drive implementation of SW tools for data analytics and process evaluation

Requirements:

• BS degree in Electrical or Computer Engineering or related (or equivalent experience)
• 5+ years in Semiconductor Program Management, ASIC Product Engineering, or ASIC design
• Deep understanding of ASIC Technology and Productization requirements
• Strong verbal and written communication skills, and the ability to coordinate with multiple technical and business teams
• Self-directed and driven, highly motivated, creative, and have a consistent record of handling multiple tasks at any given time
• Have the ability to work independently and follow complex procedures
• Proficient with MS Project and Excel

What We Offer:

• Base salary range: 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4
• Equity and benefits

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Responsibilities:

• Lead technical program management efforts for a given product, aligning the team's efforts throughout the product ideation, development, qualification, manufacturing, launch, and sustaining lifecycles
• Drive priorities to ensure products are achieving schedule and milestone targets, proactively elevate risks and obstacles
• Work with a matrixed team of partners from hardware, software, marketing, operations, and other teams to close gaps and resolve issues
• Communicate product status to internal (including executive) teams

Requirements:

• BS degree or greater in an Electrical engineering field, or equivalent experience
• 5+ years of relevant working experience
• Hands-on experience with hardware product development and validation
• Strong project/program/product management fundamentals
• Culture of continuous learning, ongoing process improvement, and a first-principles approach to creative problem-solving
• Experience in influencing decisions and leading teams in a matrix environment
• Excellent communication and presentation abilities

Nice to Have:

• 5+ years track record successfully delivering products from concept through launch
• Deep understanding of product development processes, including fundamentals of hardware design
• Master's degree in Electrical Engineering
• Experience in board/system design and validation

NVIDIA offers highly competitive salaries and a comprehensive benefits package. The base salary range is $136,000 - $212,750 for Level 3 and $168,000 - $258,750 for Level 4.

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Responsibilities:

• Build and deliver automation across the Treasury Accounting close
• Translate accounting requirements into working solutions alongside Treasury and IT
• Own month-end and quarter-end close tasks for Treasury Accounting
• Assist with Investment Company Act of 1940 analysis and continuous compliance monitoring
• Collaborate with Treasury in real-time, providing accounting expertise on new investments, structures, and programs
• Strengthen SOX controls over Treasury Accounting processes

Requirements:

• Bachelor’s degree in Accounting, Finance, or a related field (or equivalent experience)
• 8+ years of progressive accounting experience
• Working command of US GAAP for Treasury activities
• Proven record of automating finance or accounting processes and implementing AI tools in a SOX-compliant environment
• Proactive approach and strong program management skills
• Clear communication and cross-functional collaboration skills

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

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Responsibilities:

• Collaborate with internal teams to develop campaign strategies and create marketing content
• Implement campaigns that resonate with the target audience
• Gather and present campaign results and progress to the team and partners
• Organize in-person and virtual events with regional and HQ teams
• Build paid, social, programmatic, and promotional campaigns with the digital marketing organization
• Promote thought leadership and helpful content across social media channels
• Improve the website experience for marketing initiatives

Requirements:

• 8+ years of experience in marketing campaign management within the technology or robotics sectors
• Bachelor's degree or above
• Strong project management, time management, organizational, and leadership skills
• Excellent command of written and spoken Japanese and English
• Strong grasp of computing and AI technology, as well as marketing strategy
• Proficiency with marketing tools and platforms
• Passion for learning and eagerness to drive success as a team

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Job Summary: As a Senior Finance Data Analyst, you will act as a translator and steward of operating expense, capital, headcount, and purchase order data. You will guide users to understand and properly leverage data sources and solutions.

Key Responsibilities:

• Develop, prototype, build, and maintain data solutions using SQL, AI, and BI tools, financial reporting standards, and database management experience.
• Create AI agents that automate finance processes, collect and transform data, and produce reporting and analysis while maintaining high quality.
• Manage multiple workstreams, assess risks and issues, and deliver solutions on time.
• Ensure solutions are scalable, reliable, secure, and meet performance requirements.
• Collaborate with multi-functional teams to find opportunities for process optimization, automation, and cost reduction.

Requirements:

• 5+ years of experience in Financial Planning and Analysis (FP&A), working closely with business partners from multiple departments.
• Proficiency in Excel, SQL, Python, AI tools (such as Claude, Cursor, and ChatGPT), and data visualization tools (such as Tableau or Power BI).
• Strong data modeling skills in SQL.
• Bachelor's degree or equivalent experience in Finance, Economics, Business Administration, Business Analytics, Data Science, Information Systems, Computer Science, or Engineering.

Benefits:

• Competitive salary: $124,000 - $230,000 per year, depending on level and experience.
• Comprehensive benefits package, including equity and other perks (see www.nvidiabenefits.com).

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Job Summary This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive revenue for the company. You will be working with startups that are model developers, build agentic harness platforms, codegen solutions, inference service providers, etc.

Responsibilities

• Build relationships with frontier and neolab startups to strategically enable their growth.
• Work with startups that are model developers, build agentic harness platforms, codegen solutions, inference service providers, etc.
• Attain a minimum of 100% Quota attainment selling to AI Native Startups.
• Maintain and submit accurate forecasts.
• Qualify new opportunities, present NVIDIA solutions, overcome objections, negotiate and close business over the phone, MS TEAMS, Slack and in person.
• Navigate and help lead highly cross collaborative and functional groups to drive objectives.
• Work closely with channel partners including Cloud Service Providers, Global System Integrators, Independent Software Vendors, OEMs, etc. to grow pipeline and close revenue.
• Have an understanding and clear delivery of NVIDIA value proposition, key features, product messages, and positioning.

Requirements

• 5+ years of relevant technology sales experience are required. At least 2 of those years must involve working with startup founders and developers on adopting and integrating open-source technologies.
• High technical skill and ability to position NVIDIA CUDA-X libraries to accelerate customer workloads, integrate libraries into partner platforms, navigate joint go-to-market opportunities and help startups scale.
• Understanding of startup investment process and support the drafting of both business and technical collaborations.
• Experience in go-to-market strategies and teaming with Technology Industry Channel Partners including Cloud Service Providers, Global System Integrators, Independent Software Vendors, OEMs, etc.
• Proven success in rolling up a forecast to sales leadership.
• Bachelor’s degree (or equivalent experience).
• Salesforce.com experience is required.

Preferred Qualifications

• Technical Account Manager experience with customers in the startup ecosystem.
• Adept at balancing driven short-term pressures with overall long-term goals.
• Educational degree related to technology, engineering, or AI/ML, with equivalent experience considered.
• Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way.
• A polished executive presence with a track record of successfully growing revenue for new innovative technology-based solutions.

Compensation Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 148,000 USD - 235,750 USD for Level 3, and 200,000 USD - 304,750 USD for Level 4. You will also be eligible for equity and benefits.

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Responsibilities:

• Work with internal partners to assess opportunities for cost savings and improved contract terms
• Support the objectives of the Real Estate and DC MEP Engineering & Construction teams
• Develop and implement category plans, perform market research, and establish a scalable supply base
• Lead sourcing activities, including RFXs and negotiations with construction-related contractors
• Implement sourcing process project management from start to end
• Deliver results with a strong commitment to quality, ethics, and customer-focused delivery
• Identify areas for process improvement and develop strategic plans to increase efficiency and productivity

Requirements:

• Bachelor's degree or equivalent experience
• 8+ years of strategic sourcing experience, with a proven track record of leading large-scale capital expenditure construction programs
• Proven ability to work effectively with various collaborators and lead negotiation teams
• Expertise in procurement for Real Estate Construction contracts, focusing on Design-Build and Cost + Fixed Fee % with GMP
• Skilled negotiator able to achieve favorable contractual terms and market-competitive commercial rates
• Experience in qualifying and developing a supply base of qualified construction contractors
• Business acumen to make informed decisions in an environment of incomplete data and quickly changing plans and priorities
• Experience with project management and procurement tools
• Excellent communication skills, with the ability to give presentations to senior management

Preferred Qualifications:

• Master's or other advanced degree
• Expert contract negotiation skills
• Experience with Colo and CSP agreements
• Detailed technical and supply base knowledge of latest rack cooling systems and MEP equipment for next-generation data centers
• Experience in providing construction procurement support for campus development

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Responsibilities:

• Serve as domain expert and functional systems owner for AP applications, managing configuration, improvements, and day-to-day production support.
• Coordinate OpenText VIM workflows, business rules, exception handling, OCR/document capture, and approval routing to improve first-pass match and touchless processing rates.
• Onboard and support suppliers on EDI invoicing, solve mapping errors, failed transmissions, and rejected invoices with IT and trading partners.
• Manage integrations of Beeline (contingent workforce) and CounselLink (legal e-billing) with SAP, ensuring accurate and timely invoices, approvals, and accruals.
• Independently identify, prioritize, and lead automation initiatives across the AP process, delivering solutions using workflow tools, AI/ML, and scripting.
• Build and maintain reports and dashboards for AP benchmarks and use data to drive continuous improvement.
• Lead multi-functional projects with IT, Finance Systems, Procurement, Legal, and HR on system upgrades, releases, and new entity onboarding.
• Support SOX adherence and audit preparedness for AP systems.
• Guide analysts and AP team members, handle partner concerns, and develop documentation, standards, and procedures for AP systems.

Requirements:

• Bachelor's degree in accounting, Finance, Information Systems, Business, or a related field (or equivalent experience).
• 8+ years of experience in Accounts Payable systems, Finance Systems, or AP / Procure to Pay automation.
• Proven track record leading AP system implementations, upgrades, or automation projects end to end with minimal supervision.
• Deep, hands-on experience configuring and supporting OpenText VIM in an SAP environment.
• Strong knowledge of EDI invoicing standards and transactions.
• Experience coordinating or supporting Beeline and CounselLink.
• Understanding of end-to-end AP processes, two- and three-way matching, and SOX controls.
• Practical experience applying AI tools and capabilities in a finance or business context.
• Strong analytical, problem-solving, and communication skills.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility
• See www.nvidiabenefits.com/ for more information.

Salary Range: 116,000 USD - 195,500 USD

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Responsibilities:

• Support NVIDIA's worldwide virtual card payment initiative across all regions and legal entities
• Define and lead the global supplier enablement strategy
• Address complicated supplier and bank customer inquiries involving virtual card payments
• Perform daily and month-end reconciliation of virtual card payments across entities and currencies
• Build and monitor controls for card payment activity to detect unusual transactions and potential fraud
• Own global program benchmarks by region and entity
• Lead cross-functional initiatives with IT, Finance Systems, Treasury, Tax, Procurement, and regional AP teams
• Support SOX adherence and audit readiness for the global virtual card program
• Mentor AP team members and establish global procedures

Requirements:

• Bachelor's degree in accounting, Finance, Business, or a related field
• 8+ years of experience in Accounts Payable, payments, or treasury operations within a global, multi-entity environment
• Experience with virtual card platforms from major global and regional issuers
• Hands-on experience with Coupa Pay and SAP integration
• Understanding of SAP payment runs, vendor master data, bank integrations, and AP reconciliation
• Proven track record independently leading supplier enablement programs and cross-functional payment projects
• Understanding of multi-currency and cross-border payments, payment controls, fraud prevention, and SOX requirements
• Advanced Excel and data analysis capabilities
• Practical experience applying AI tools and capabilities
• Strong communication, collaboration, and problem-solving abilities

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

Salary Range: 116,000 USD - 195,500 USD

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Responsibilities:

• Manage the worldwide end-to-end Invoice to Pay process,from invoice receipt and capture through matching, approval, payment, and supplier inquiry,defining the strategy, standards, and multi-year roadmap.
• Define and govern global process development, policies, and procedures, ensuring consistency across regions, entities, and shared service centers while meeting local statutory requirements.
• Drive touchless processing through automation, AI/ML, OCR, and e-invoicing capabilities, partnering with IT and Finance Systems on ERP and tooling roadmaps.
• Establish and report global benchmarks and SLAs and lead continuous improvement to close performance gaps.
• Coordinate the I2P internal control framework, including SOX compliance, segregation of duties, payment fraud prevention, and audit readiness.
• Act as a strategic collaborator with Procurement, Treasury, Tax, Controllership, and business leaders to coordinate upstream and downstream Procure to Pay processes.
• Lead, mentor, and develop a distributed team of process leads and managers.
• Champion change management for global process rollouts, system implementations, acquisition integrations, and new entity onboarding.

Requirements:

• Bachelor's degree in accounting, Finance, Business, or a related field (or equivalent experience).
• 15+ years of advancing experience in Accounts Payable, Procure to Pay, or Finance Operations.
• 5+ years in global process ownership or senior leadership roles.
• Proven track record designing and implementing global, end-to-end I2P processes in a complex, multi-entity, high-growth environment.
• Deep expertise in ERP platforms and I2P automation tools.
• Strong knowledge of SOX controls, global e-invoicing and indirect tax mandates, and payment compliance requirements.
• Demonstrated success leading large-scale transformation and change management initiatives.
• Practical experience applying AI tools and capabilities in a finance or business context.
• Outstanding leadership, communication, and executive partner management skills.

Nice to Have:

• MBA, CPA, CMA, or equivalent professional certification.
• Lean Six Sigma or other process excellence certification.
• Experience deploying AI, machine learning, or automation solutions at scale in finance operations.

What We Offer:

• Highly competitive salaries
• Comprehensive benefits package
• Equity
• Base salary range: 216,000 USD - 345,000 USD

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Responsibilities:

• Coordinate daily operations of global accounts payable payments, ensuring timely processing and strict adherence to on-time payment SLAs.
• Lead transmission of payments through ERP and Host to Host (H2H) network to banks.
• Ensure system reconciliations between H2H transmission, bank acknowledgements, and rejection files.
• Develop and maintain fraud detection rules and system checks for all vendor disbursements.
• Monitor payments, including rejections, across various channels in real-time.
• Uphold compliance with global regulations and industry standard processes.
• Lead a team of global payment processors, implementing standard processes and operational controls.

Requirements:

• Bachelor's degree in Accounting, Finance, or a related field (or equivalent experience).
• 10+ years of experience in Payment management processes and system implementation.
• 4+ years of leadership experience.
• Proven expertise in managing automation of Payment Systems workflows and payment transmissions.
• Strong knowledge of KYC, AML, and other regulatory compliance requirements.
• Outstanding analytical skills for conducting audits and investigating potential fraudulent transactions.
• Experience in AI tools and capabilities, including Claude, ChatGPT, and Cursor, in a finance or business context.
• Excellent team management skills with the ability to lead and encourage a diverse team.

Benefits:

• Highly competitive salary: $184,000 - $287,500 per year
• Comprehensive benefits package
• Equity eligibility

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The Engineering Manager will lead a team of talented engineers to design and build a next-generation data annotation platform. The platform supports high-volume active annotation projects across diverse research areas, such as Nemotron, Cosmos, Robotics, and Red Teaming. The team's focus will be on driving operational efficiency through annotation interfaces, scalable backend workflows, models-in-the-loop, auto-labeling systems, data pipelines, and intelligent orchestration tools.

Responsibilities:

• System Design & Programming: Maintain a high technical bar, guide robust software design, ensure clean data engineering practices, and occasionally engage in hands-on Python programming.
• People Leadership: Build, mentor, and lead a high-performing team of software, data, and AI application engineers.
• Stakeholder Management: Serve as a critical bridge and strategic partner, aligning engineering roadmaps with high-level VPs, Research Leaders, and the Data Factory operations workforce.
• AI Application Engineering: Architect and drive the implementation of next-generation auto-labeling applications that leverage multi-modal models-in-the-loop.
• Data Engineering & Analytics: Own the data engineering layer that makes annotation work measurable, including event logging, ETL into NVIDIA's data lake, metrics, dashboards, and alerting.
• Front-End & Annotation Interfaces: Direct front-end engineering for custom annotation interfaces across various modalities.
• Operations Scaling: Optimize the platform for maximum scalability, data integrity, and throughput.

Requirements:

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field.
• 10+ years of professional software engineering experience, including 2+ years as a technical lead or engineering manager.
• Strong background as a Software Engineer, Data Engineer, or AI Application Engineer, with excellent system design skills and hands-on expertise in Python.
• Proven experience in architecture-level understanding of data pipelines, distributed systems, and integrating machine learning models into production workflows.
• Experience leading technical initiatives, mentoring engineers, or formally managing a team.
• Exceptional stakeholder management skills.

Nice to Have:

• Experience with human-in-the-loop data programs.
• Experience applying models to reduce or assist human effort in a labeling workflow.
• Working proficiency in TypeScript or JavaScript.
• Background in multimodal data.

The successful candidate will be eligible for equity and benefits.

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Key responsibilities:

• Develop and execute the strategic roadmap for the website
• Own core technical and engagement metrics, site availability, and usability
• Evaluate and implement enterprise-grade CMS and infrastructure that scales securely
• Drive technical SEO, site architecture, and organic search performance
• Run a continuous testing program for CRO and personalization
• Build and maintain a scalable, localizable site structure

Qualifications:

• 5–10 years managing B2B tech or SaaS websites with a product management mindset
• Bachelor’s degree or equivalent practical experience
• Hands-on experience leading a major enterprise web platform upgrade or migration
• Proficiency in Jira and/or Asana
• Technical foundation with enterprise-grade CMS, HTML/CSS/JS, and scalable architecture
• Expertise in GA4, Google Tag Manager, Core Web Vitals, and SEO tooling

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Responsibilities:

• Independently plan and execute turnkey tabletop events from start to finish, including logistics, timelines, on-site coordination, and post-event data hygiene.
• Support the execution of larger tradeshows and corporate events, including venue sourcing, budget tracking, and overseeing lead list quality.
• Maintain detailed project plans for multiple concurrent events, ensuring milestones and deadlines are tracked and communicated clearly.
• Manage the warehouse supply of branded merchandise and event materials, including tracking inventory and coordinating restocks.
• Build trusted relationships across marketing and the broader organization to ensure smooth event execution.

Desired Skills and Experience:

• 2-3 years of hands-on tradeshow experience.
• Highly organized and detail-oriented with a proven system for managing tasks.
• Clear and effective communicator, both in professional emails and verbal briefings.
• Proficiency in Google Suite and MS Suite, particularly building and maintaining spreadsheets.
• Experience with Asana or similar project management software is a plus.
• Familiarity with lead retrieval tools and event registration platforms is a plus.
• Experience with marketing automation and CRM platforms (e.g., Salesforce, Marketo, or HubSpot) is a bonus.
• Prior experience in cybersecurity, networking, or infrastructure technology is a plus.

This is a contract position with an hourly pay range of $35–$45/hr.

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Responsibilities:

• Serve as a technical accounting expert – proactively assess complex transactions and offer technical accounting guidance and disclosure recommendations.
• Foster strong partnerships across Accounting, Finance, Legal, Corporate Development, M&A, External Audit, and other advisors.
• Identify, research, consult, and prepare technical memoranda for complex transactions.
• Stay informed on FASB and SEC pronouncements and analyze their impact on the Company.

Requirements:

• Bachelor’s degree or equivalent experience from a leading university in Finance or Accounting.
• Active CPA or equivalent qualification.
• 12+ years of public accounting and/or related industry experience.
• 6+ years concentrating on technical accounting; strong technical expertise in multiple facets of US GAAP.
• Must have advisory experience or National Office tour in a Big 4 public accounting firm.
• 4+ years of leadership with demonstration of continual management progression during career.
• Executive presence and excellent written and verbal communication skills.

Nice to Have:

• Expertise in revenue recognition, derivatives, guarantees, consolidation, and leasing accounting topics.
• Experience in structuring transactions to achieve a specific accounting and business outcome.
• Experience collaborating across a large organization to influence and inspire change.
• High growth technology industry experience.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD. You will also be eligible for equity and benefits.

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Responsibilities:

• Lead NVIDIA's international tax strategy for global supply chain and infrastructure, continually refining it as the business, laws, and regulations change.
• Serve as one of NVIDIA's tax experts, providing strategic advice and partnering with Finance, Trade, Legal, and Operations teams to ensure compliance.
• Provide strategic tax advice to senior Finance and business leaders to guide and support their decision-making.
• Strategize and develop solutions for large, complex projects and systems changes, determining tax treatment based on deep technical expertise and business judgment.
• Build positive relationships with business collaborators across NVIDIA, both in the US and internationally, ensuring Tax is engaged and represented for important business decisions.
• Structure, draft, and negotiate commercial and intercompany agreements covering supply, warehousing, distribution, manufacturing services, and infrastructure arrangements.
• Manage external counsel and advisors, engaging them on technical issues while coordinating scope and budget.

Requirements:

• CPA or Juris Doctor (JD) degree and LL.M. in Taxation from an accredited US law school.
• 15+ overall years at a major law firm, Big 4 accounting firm, or an in-house tax department of a multinational corporation.
• 4+ years of leadership experience.
• Strong technical knowledge of US and international tax rules, including R&D and investment credits, expense and capitalisation rules, permanent establishment, Subpart F, GILTI, FDII, and FTC utilisation.
• Proven track record providing operational leadership and strategic tax guidance for a complex, cross-border business area.
• Outstanding communication and interpersonal skills, demonstrating the capability to influence senior tax and non-tax collaborators across functions, regions, and time zones.
• Solid understanding of the interaction between direct tax, indirect tax, transfer pricing, and customs.
• Strong project management skills, with the ability to lead cross-functional workstreams to completion and deliver results.

Preferred Qualifications:

• Bachelor's degree in Accounting, or equivalent experience, with an understanding of accounting for taxes under US GAAP.
• Hands-on experience with customs-privileged regimes such as IMMEX/maquiladora, free trade zones, or bonded warehouses.
• Experience presenting to senior executive or board-level audiences on tax matters.
• Familiarity with SAP, particularly intercompany and inventory flows, and experience supporting an ERP transformation.
• Proficiency with AI tools and automation as part of your everyday work.

Compensation:

• The base salary range is 240,000 USD - 379,500 USD.
• You will also be eligible for equity and benefits.

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In this role, you will collaborate with FP&A, Business Operations, Sales Operations, and IT to ensure accurate and complete accounting and forecasting for rebate arrangements and other customer incentive programs.

Responsibilities:

• Tracking, modelling, accounting, and forecasting rebate/customer incentive programs, including accruals, releases and claim settlements.
• Leverage AI and data analytics tools to automate existing processes, proactively detect anomalies, identify trends, and drive continuous improvement across the contra revenue accounting function.
• Build strong partnerships within FP&A, Business Operations and Sales Operations to assess, account, and launch rebate and other customer incentive programs.
• Perform Sales reserves calculations including RMA reserve, stock rotation reserves and other special customer reserves.
• Ensure timely execution of month-end and quarter-end activities including review of journal entries, revenue reserves, account reconciliations and reporting.
• Support accounting IT projects for system design, implementation, testing, enhancements, and maintenance.
• Support internal and external auditors by providing schedules, documentation, and explanations related to contra revenue accounting.
• Support ad hoc projects for the Revenue Accounting team.
• Stay current on evolving accounting guidance (ASC 606, ASC 450), AI capabilities, and emerging technologies that enhance accounting analysis and operational efficiency.

Requirements:

• Bachelor’s degree or equivalent experience in finance or accounting. CPA is preferred.
• 4+ years of public accounting and/or related revenue accounting experience at a large public company. Prior rebate and/or RMA experience is a plus.
• Detailed knowledge of ASC 606 Revenue from Contracts with Customers.
• Ability to prioritize, multitask, and work collaboratively and independently in a dynamic fast-paced environment.
• Self-motivated, passionate about data integrity, enjoy solving complex problems.
• SAP (SD, FI, and RAR modules) and Vistex (rebates) system experience preferred.
• Advanced MS Excel skills.

Nice to Have:

• Attention to detail and a strong sense of accountability.
• Proven track record of implementing AI to help with daily work and automation of manual processes.
• Experience with collaborating across a large organization to influence and affect change.
• Strong communication skills and sense of collaboration.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

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In this role, you will collaborate with FP&A, Business Operations, Sales Operations, and IT to ensure accurate, complete, and timely revenue accounting execution across NVIDIA's revenue streams.

Responsibilities:

• Ensure timely execution of month-end and quarter-end close activities, including preparation and review of journal entries, account reconciliations, and reporting.
• Oversee system billing activity and conduct validations of revenue transactions to ensure compliance with SOX requirements, including completeness and accuracy of revenue.
• Review custom engineering services arrangements and issue milestone-based invoices, partnering with account managers on project progress.
• Validate part number setup for new product introductions and existing product changes, using various data points to determine systematic revenue and accounting treatment.
• Support accounting IT projects including system design, implementation of business and accounting requirements, testing, enhancements, and ongoing maintenance for ERP upgrades and other system implementations.
• Leverage AI and data analytics tools to automate existing processes, proactively detect anomalies, identify trends, and drive continuous improvement across billing operations.
• Support internal and external auditors by providing schedules, documentation, and explanations related to revenue accounting.
• Stay current on evolving accounting guidance (ASC 606, ASC 450), AI capabilities, and emerging technologies that enhance accounting analysis and operational efficiency.
• Support ad hoc projects for the Revenue Accounting team.

Requirements:

• Bachelor's degree or equivalent experience in Finance or Accounting. CPA preferred.
• 6+ years of public accounting and/or related revenue accounting experience at a large public company. Prior billing, RMA, or order-to-cash experience is a plus.
• Detailed knowledge of ASC 606 Revenue from Contracts with Customers.
• Hands-on SAP experience required, including SD, FI, and/or RAR modules; familiarity with billing T-code strongly preferred.
• Experience with SAP S/4HANA testing (UAT, regression, or cutoff) preferred.
• Advanced MS Excel skills.
• Ability to prioritize, multitask, and work collaboratively and independently in a dynamic, fast-paced environment.
• Self-motivated, passionate about data integrity, and able to solve complex problems.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

The base salary range is 116,000 USD - 195,500 USD.

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Responsibilities:

• Manage the end-to-end SOX 404 lifecycle and assigned business process areas, including design assessment, risk assessment, walkthroughs, test planning, control testing, and reporting to management.
• Partner with process owners to assess risks, determine the control response, and drive the resulting narratives, flowcharts, and control builds to completion.
• Promote the adoption of AI in the Internal audit and SOX function by applying AI and analytics to risk assessment, documentation, testing, sampling, and evidence review.
• Review risks and controls associated with AI-powered business processes, ensuring the deployed AI and automation are regulated and sufficiently monitored.
• Evaluate control deficiencies, quantify potential impact, conclude on severity, and drive remediation to closure, presenting issues clearly to Accounting and Finance control owners.
• Drive continuous improvement and automation across the program by finding opportunities to streamline, standardize, and rationalize controls.
• Support and evaluate the efforts of offshore testers, giving coaching and feedback to maintain quality and audit-ready documentation.
• Build SOX proficiency across the business by developing and delivering mentorship and training that makes compliance requirements practical for control owners.
• Assist with operational audits and special projects as assigned.

Requirements:

• Bachelor's degree in accounting, finance, or equivalent experience. Active CPA required.
• 8+ overall years in Big 4 and/or large public company environments, with broad hands-on SOX and internal audit experience covering core business processes.
• 2+ years in a leadership role.
• Strong knowledge of GAAP, COSO, PCAOB standards, and Sarbanes-Oxley requirements, with good judgment in applying them to real-world business situations.
• Proven capability to manage complex workstreams autonomously, establish direction without formal authority, and influence process owners.
• Experience reviewing the work of others and raising quality standards within a team.
• Excellent analytical, problem-solving, and organizational skills with keen attention to detail.
• Strong ability to convey complex issues clearly, making recommendations accessible to executive audiences.
• Demonstrated critical thinking and curiosity, with a willingness to learn in a fast-paced environment.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility
• Visit www.nvidiabenefits.com/ for more information

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The Silicon Design for Productization (DFP) Team, within the broader Silicon Co-Design Group, turns power and thermal design into executable productization methodology. Power and thermal are among the most complicated problems worked on at NVIDIA because they sit at the intersection of architecture, workload behavior, silicon variation, firmware policy, platform constraints, and product goals.

Responsibilities:

• Lead the effort across multi-functional teams to keep the program's power and thermal productization strategy clear, executable, and on track.
• Create methodology and silicon test plans based on controller designs and architecture, including characterization processes, debug tools, fuse/firmware settings, and lab requirements.
• Drive resolution for challenging silicon issues through structured hypotheses, measurement plans, and root-cause closure.
• Steward the Power and Thermal playbook when the existing productization methodology does not fit the problem, creating new mitigations and assembling them as reusable methods.
• Build AI-enabled workflows to automate data analysis, metric extraction, trend checks, and report generation across multiple bring-ups to improve, leverage, and shorten time to market.
• Serve as a key technical owner for multi-functional decisions, issues, and trade-offs related to feature bring-up.

Requirements:

• BS or MS in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
• 8+ years of proven track record in post-silicon bring-up and validation of power and thermal features on sophisticated ASIC or SoC programs.
• Strong end-to-end understanding of silicon behavior across architecture, firmware, validation, and platform interactions, with expertise in power and thermal domains.
• Evidence of creating/improving characterization documents, debug tools, dashboards, or other reviewable technical artifacts.
• Demonstrated ability to make sound trade-off decisions across power, thermal, performance, firmware, design, validation, and schedule constraints.
• Shown experience building or applying AI-enabled workflows for silicon characterization or validation, with measurable workflow impact and clear validation difficulty, observability, and guardrails.

Benefits:

• Equity
• Benefits

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Job Summary: As a Privacy Counsel, you will review vendor contracts and data processing agreements, support outbound data sharing arrangements, contribute to scalable processes and playbooks, consult with business partners, and keep up-to-date with legal developments in privacy law.

Responsibilities:

• Review vendor contracts and data processing agreements (DPAs), focusing on privacy, data use, and security provisions.
• Support outbound data sharing arrangements with third parties, including assisting with data transfer risk assessments and ensuring appropriate contractual safeguards are in place.
• Contribute to developing scalable processes and playbooks for vendor privacy review and third-party data sharing.
• Consult with business partners on privacy considerations arising from new products, partnerships, and data initiatives.
• Stay up-to-date with legal developments in privacy law, including U.S. state privacy regulations and international frameworks like GDPR, and offer advice on their practical implications.
• Collaborate with the legal and privacy team on various data governance and privacy issues, such as drafting guidelines and helping develop training materials.
• Grow into broader privacy and data governance responsibilities as the program evolves.

Requirements:

• J.D. degree with a record of strong academic performance.
• 4+ years of experience in privacy law, including involvement with vendor contracts, DPAs, and/or data sharing agreements.
• Fundamental understanding of key privacy regulations, such as GDPR, CCPA/CPRA, and other relevant U.S. state privacy statutes.
• License to practice law in California.
• Strong communication and organizational abilities, including writing, attention to detail, and the capability to handle multiple workstreams efficiently.
• Practical, business-minded approach to legal risk, with the ability to provide clear, actionable mentorship.

Nice to Have:

• Experience at a technology company or in a practice group focused on technology transactions or data privacy.
• Familiarity with AI, data governance, or cybersecurity legal issues , or a desire to develop expertise in these areas.
• CIPP/US, CIPP/E, or similar privacy certification.
• History of contributing to scalable legal processes and internal resources.
• Passion for continuous learning and enthusiasm for working in a fast-paced, innovation-focused environment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 207,000 USD for Level 2, and 168,000 USD - 264,500 USD for Level 3. You will also be eligible for equity and benefits.

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Responsibilities:

• Architect, design, and deliver robust solutions for complex supply chain requirements using SAP IBP Supply Planning, Demand Planning, Optimization, and Fulfillment Techniques
• Demonstrate process improvement techniques to streamline business processes and architect solutions
• Lead projects to implement new and improved existing functionalities in IBP
• Build prototypes and proof of concepts for business requirements and translate them into effective operational solutions
• Apply industry-best practices for data analysis and share across teams
• Build business and product scenarios to help the business unit improve NVIDIA's profitability and market share
• Perform testing to support system implementations and upgrades, and drive system design analysis, testing, and training
• Collaborate with cross-functional teams in business and IT to deliver comprehensive supply chain planning solutions

Requirements:

• Bachelor's or Master's degree, or equivalent experience in Information Systems, Computer Science, or Business
• 12+ years of relevant work experience architecting, designing, and implementing comprehensive supply chain planning solutions using advanced planning tools
• Experience with SAP IBP Supply Response, SAP IBP Optimization, and modeling for solving supply chain problems in the semiconductor industry
• Knowledge of RTI and CI-DS interfaces with SAP IBP
• Good record of accomplishment using analysis to deliver business results
• Self-motivated and able to function effectively when working independently or in a team

Nice to Have:

• Knowledge of Kinaxis, Blue Yonder supply chain planning solutions
• Semiconductor industry supply chain planning knowledge and experience

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As an essential team member, you will help develop and build the optics roadmap for scale-out and scale-up networking. You will simplify complex requirements into clear working documents and communicate the vision to internal and external groups.

Key responsibilities:

• Lead the optics product and technology roadmap process across all data center and networking platforms
• Engage with customers and developers to understand use cases, difficulties, and requirements
• Provide input and mentorship to architecture and development teams for optics and interconnects
• Identify and evaluate new technologies, innovations, and partner relationships to align with the strategic technology roadmap
• Produce informative technical content to emphasize the value and innovation of optics and interconnect platforms

Requirements:

• BS/MS/PhD in Electrical Engineering, Applied Sciences, or a related technical field (or equivalent experience)
• 15+ overall years of relevant industry experience, with 10 or more years in a leadership role
• Proven experience and solid understanding of optical interconnects, silicon photonics, lasers, or closely related technologies
• Practical knowledge of Networking and Data Center infrastructure
• Demonstrated experience and skills in building partnerships, managing business contracts, and investment justifications

Nice-to-have skills:

• Proven track record in product management or product marketing for optical transceivers, silicon photonics, or co-packaged optics
• Direct experience working with high-performance data center networking or computing platforms
• Background in formulating product strategies or specifying requirements related to networking or data center environments
• Outstanding interpersonal skills

The base salary range is 216,000 USD - 345,000 USD. You will also be eligible for equity and benefits.

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We are seeking systems software engineers to work on the CUDA driver and runtime, focusing on performance optimization.

Your role will involve designing, implementing, and validating production C/C++ features and optimizations in the CUDA driver and runtime.

Responsibilities:

• Design, implement, validate, and ship performance-centric features and programming-model capabilities in the CUDA driver and runtime.
• Optimize critical execution paths for latency, throughput, bandwidth, efficiency, and scalability.
• Own complex performance problems end-to-end, understanding important workloads, forming hypotheses, creating focused measurements and models, isolating root causes, implementing production solutions, and validating application-level impact.
• Establish performance expectations for current and future platforms, characterize new silicon, close software and hardware gaps, and drive performance readiness through product release.
• Translate workload and platform evidence into CUDA API and programming-model improvements, systems-software direction, and measurement-backed recommendations for future hardware architecture and implementation.
• Partner with various teams, communicate findings clearly, and raise engineering quality through design and code reviews.
• Lead complex feature development and cross-layer investigations across teams, define performance requirements and technical direction for major subsystems, mentor engineers, and shape hardware/software decisions for future product generations.

Requirements:

• A BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 2 years of relevant systems-software development experience.
• Strong production C/C++ systems-programming experience, including delivery of substantial features, optimizations, or production fixes in a complex codebase.
• Strong operating systems and concurrency foundations.
• Strong computer-architecture foundations.
• Demonstrated success improving real software performance.
• Sound technical judgment, ownership of ambiguous problems, and clear communication across organizational and disciplinary boundaries.

Benefits:

• Equity
• Various benefits

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The successful candidate will own the positioning and enablement of the DSX platform to ODM partners, ensuring successful design-in and ongoing adoption of the data center blueprint. You will serve as the primary interface between ODM partners and the internal DSX product team, aggregating and communicating partner feedback on stack usability, deployment gaps, and real-world constraints.

Key responsibilities include:

• Positioning and promoting the DSX platform to ODM partners
• Leading DSX onboarding and build-in engagements with ODM partners
• Maintaining continuous ODM alignment with the DSX data center framework throughout the delivery lifecycle
• Serving as the primary interface between ODM partners and the internal DSX product team
• Developing and sustaining constructive connections with leadership in ODM engineering

The ideal candidate will have:

• 15+ years of experience in product management, technical enablement, or solutions engineering
• Hands-on experience with L12 or L13 delivery from the ODM side
• Demonstrated ability to enable external partners to adopt a complex technical stack
• Strong grasp of data center architecture and infrastructure layers
• Excellent written and verbal communication skills

Benefits include equity and a comprehensive benefits package.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 5, 2026.

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The successful candidate will own an organization of approximately 40 engineers across the US and India, responsible for the customer-facing application layer of the Forward platform.

Responsibilities

Lead and Scale the Applications Organization

• Lead an approximately 40-person engineering organization across the US and India, including engineering managers and senior technical leaders.
• Build a leadership structure that scales, with clear ownership, accountability, and fast decision-making.
• Coach and develop engineering managers into strong leaders of people, technology, and execution.
• Recruit, retain, and develop exceptional talent and build a cohesive engineering culture across geographies and time zones.
• Create a culture of ownership, technical excellence, accountability, and continuous improvement.

Own Product Engineering and Delivery

• Own Forward's application development end to end: requirements and architecture through implementation, testing, release, and ongoing improvement.
• Partner with Product Management and UX on product direction, scope, priorities, and delivery plans.
• Establish realistic plans and estimates, identify dependencies and risks early, and drive predictable execution.
• Communicate progress, tradeoffs, risks, and changes clearly to engineering and company leadership.

Drive Technical Excellence and Quality

• Provide technical leadership across a modern application stack, including Java backend services and Svelte-based frontend applications.
• Partner closely with Distinguished Engineers and other senior technical leaders to establish and evolve architecture and engineering standards.
• Hold the organization to high standards for performance, scalability, security, maintainability, and user experience.
• Own release readiness and product quality , feature validation, automated testing, regression coverage, performance, security, production readiness.
• Drive continuous improvement in engineering practices.

Build an AI-Native Engineering Organization

• Continue evolving how the organization applies AI across the software development lifecycle.
• Encourage experimentation with AI-assisted development while establishing practices that produce measurable improvements.

Requirements

• 10+ years of software engineering experience, including 5+ years leading engineering teams and managers.
• Experience leading a sizable, multi-team engineering organization and scaling both the organization and its leadership structure.
• Strong technical background building sophisticated enterprise software.
• Track record of delivering complex software products with accountability for schedule, quality, and technical outcomes.
• Experience partnering closely with Product Management and UX/Design.
• Strong organizational and planning skills across multiple initiatives.
• Excellent written and verbal communication.
• A leadership style built around ownership, high standards, transparency, and developing strong leaders.

Nice to Have

• Experience building on-premises or self-hosted enterprise software.
• Experience leading engineering organizations distributed across the US and India.
• Experience building applications using Java and modern frontend frameworks.
• Experience with networking concepts.
• Experience applying AI tools across the software development lifecycle.

Location and Compensation

This is a regular, full-time position with Forward, headquartered in Santa Clara, California. The base salary range is $270,000 – $350,000 per year.

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The successful candidate will have hands-on experience with SoC bring-up, validation, and productization, as well as the ability to work across the silicon-systems-software boundary.

Key responsibilities:

• Own program outcomes end-to-end, defining and managing schedules, surfacing dependencies, and driving multi-functional alignment
• Lead through design complexity, participating in critical design reviews, flagging scope risks, and resolving them with minimal disruption
• Act as the main technical link among silicon, systems, software, operations, and marketing, keeping teams aligned on program goals and GTM needs
• Drive risk to closure, finding technical and schedule risks early, building mitigations with engineering, and moving work forward with clarity and context
• Raise the execution bar, capturing lessons from finished programs and putting in place process changes that measurably improve speed, quality, and predictability
• Handle silicon hardware logistics, coordinating movement, tracking, and availability of silicon, boards, and peripherals

Requirements:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field (or equivalent experience)
• 12+ years in technical roles, with at least 5 years in technical program management
• Deep, hands-on understanding of SoC bring-up, validation, and productization
• Ability to work across the silicon-systems-software boundary
• Proven track record of running fast development cycles in uncertainty
• Communication that is precise, direct, and right-sized for the audience

Nice to have:

• Experience with AI-style program management tools
• Experience working with AI/ML teams on inference infrastructure and aligning multi-functional work with go-to-market timing for AI-accelerated products
• Experience with AI-assisted logistics tracking
• Ability to evaluate and help roll out new AI productivity tools

NVIDIA offers a competitive salary range of $200,000 - $322,000 per year, depending on location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.

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You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX. Your responsibilities will include:

• Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
• Performance vs Power Analysis for NVIDIA future product lineup.
• Deploying machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
• Understanding workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
• Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.

To be successful in this role, you will need:

• Pursuing or recently completed a Bachelors or Masters in Electrical Engineering, Computer Engineering, or equivalent experience.
• Knowledge of energy efficient chip design fundamentals and related tradeoffs.
• Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
• Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
• Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
• Familiarity with performance monitors/simulators used in modern processor architectures.

You will also be eligible for equity and benefits.

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Responsibilities:

• Integrate sensors into the AV driving software stack.
• Develop and improve the startup user experience of the AV stack.
• Work on areas such as sensor abstraction layers, data processing and performance optimization, data serialization, and service frameworks.
• Collaborate with hardware, platform software, product, safety, performance, algorithms, and cloud teams.

Requirements:

• BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
• 8+ years of professional experience working on system software.
• Excellent programming skills in C++, C, and Python.
• Familiarity with source control tools.
• Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.
• Experience in developing user-space system software, with a willingness to delve into kernel-space and/or low-level hardware when needed.
• Knowledge about embedded system programming, threading, mutex, synchronization, communication, and parallel computing to build highly-scalable and efficient applications.
• Familiarity with hardware architecture for CPU/GPU and memory alongside performance.
• Prior experience working in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Embedded Systems, Computer Vision.

Benefits:

• Equity
• Various benefits (details not specified)

Application deadline: May 22, 2026

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This role involves architecting voltage-noise mitigation across the full stack and collaborating with various teams to define product-level voltage noise targets.

Key responsibilities include:

• Architecting voltage-noise mitigation across silicon, package, board, and platform
• Co-designing noise features with multiple teams
• Defining product-level voltage noise targets and driving them to closure
• Building and owning the Sim-to-Si correlation methodology for noise
• Modeling and prototyping next-gen noise features
• Leading show-stopper noise bugs during bringup

Requirements:

• BS/MS/PhD in EE, CE, or related field
• 5+ years of experience in silicon power integrity, voltage noise, or PDN
• Deep expertise in di/dt analysis and mitigation, voltage droop, PDN design, transient noise, decap budgeting, or voltage regulator response
• Hands-on silicon experience with bringup, characterization, and correlation
• Strong Sim-to-Si correlation skills and system-level objectivity
• Ability to collaborate in a matrixed environment and drive decisions through multiple collaborators

Preferred qualifications:

• Patents or publications in power integrity, voltage noise, PDN, or di/dt mitigation
• Experience with groundbreaking GPU, CPU, or AI accelerator silicon
• Application of ML/AI to noise modeling, transient prediction, or feature optimization
• Multi-rail, multi-domain PDN ownership at SoC level
• Track record of codifying methodology into reusable workflows or tooling

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You will craft software services to deliver functionality to NVIDIA's internal platforms and our external-facing cloud infrastructure.

Responsibilities:

• Design and build software code and cloud services for Data Management, including providing a catalog, managing metadata and life cycle of datasets and checkpoints
• Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating appropriately with their systems
• Collaborate with the NVIDIA research team to utilize new storage and compute innovations, including GPU direct storage and DPU

Requirements:

• BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 5+ years of proven experience
• Strong foundation in algorithms and data structures and their real-world use cases
• Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers
• Experience collaborating with teams to write software to support cloud services
• Background with backend systems and software engineering
• Programming experience in a relevant language, e.g., Go, Python, C/C++, Java
• Understanding of standard approaches to software engineering, software architecture, and design
• Ability to document software and services
• Communicate design, status, and other sophisticated subjects in written, visual, and oral formats

Preferred Qualifications:

• Hands-on experience in building and managing large-scale data services
• Experience building products and services to solve enterprise-grade customer data analytics problems
• Experience with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), Machine Learning infrastructure toolset (Feature Stores)

You will also be eligible for equity and benefits.

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The exceptional hire uses AI deliberately to compress debug and modeling cycles, with the judgment to know where it accelerates real work and where it introduces risk.

Responsibilities:

• Design, implement, and tune silicon power and thermal controllers in close partnership with firmware, hardware, software, and design/power-architecture teams , from spec through productization.
• Drive debug and resolution of power-limiting constraints, and deliver efficient, time-to-market product-specific customizations that unlock performance without compromising the thermal envelope.
• Deliver system-level power optimizations spanning silicon, platform, software, and manufacturing , for products ranging from large-scale datacenter accelerators to low-power client devices.
• Partner with the SCG Tools team to left-shift modeling, analysis, and test infrastructure , refine methodologies, sharpen procedures, and bring new closed-loop techniques into production.
• Validate silicon power and thermal features across multi-functional teams from bring-up through production silicon, and be responsible for the WARs and productized fixes through to confirmation.
• Translate complex power, thermal, and performance signals into decision-ready options that give leadership the clarity to act on POR, binning, and program-impacting risks.
• Work alongside system architects, chip and board designers, software/firmware engineers, power-architecture engineers, Product Definition Engineers, and ATE engineers in a high-energy environment to bring industry-defining products to market.

Requirements:

• BS or MS in Electrical Engineering, Computer Engineering, Systems Engineering, or related field (or equivalent experience).
• 6+ years implementing power and thermal controllers in firmware for GPU, CPU, or SoC products.
• Hands-on experience with system-level silicon bring-up and validation, DVFS, power characterization and modeling, performance analysis, and perf-per-watt optimization.
• Background in implementing system-level features, thermal policies, and data-analysis and statistics workflows.
• Solid understanding of digital design, circuit analysis, CPU/GPU/SoC architecture, PTPX, advanced process technologies, and transistor/device physics.
• Demonstrated experience operating across globally distributed and offshore engineering teams.
• Strong written and verbal communication; able to translate complex post-silicon signals into crisp, decision-ready options for executive leadership.

Benefits:

• Competitive salaries
• Generous benefits package
• Equity eligibility

You will also be eligible for equity and benefits.

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You will lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.

Responsibilities:

• Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
• Participate in feature design and implementation.
• Interact with internal and external partners and researchers to understand their use cases and requirements.
• Collaborate with engineering teams, program and product management, and partners to define the product roadmap.
• Continuously review and identify improvement opportunities in established processes, infrastructure, and practices.

Requirements:

• 10+ overall years of experience in the software industry with specialization in HPC networking or system software.
• 4+ years of management experience.
• BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience.
• Prior systems software or communication runtime or high performance networking software development experience with a successful track record.
• Strong understanding of computer system architecture, operating systems principles, HW-SW interactions and performance analysis/optimizations.
• Excellent C/C++ programming and debugging skills in Linux.
• Experience balancing multiple projects with competing priorities.
• Flexibility to work and communicate effectively across different teams and timezones.

Benefits:

• Equity
• Benefits

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Key Responsibilities:

• Design and maintain unified profiling frameworks for CPU and GPU environments.
• Conduct in-depth benchmarking of EDA applications to analyze memory access patterns and instruction-level parallelism.
• Use GPU profilers to identify inefficiencies such as warp divergence and PCIe/NVLink bottlenecks.
• Develop tools to monitor and optimize high-watermark memory usage in multi-terabyte EDA builds.
• Create predictive models to guide hardware procurement and cloud instance selection.

Requirements:

• Experience with CUDA programming and GPU profiling tools like NVIDIA Nsight Systems/Compute.
• Knowledge of profiling tools such as perf, eBPF, VTune, or Valgrind.
• Strong benchmarking skills and ability to analyze complex performance data.
• Experience with distributed compute environments like Slurm, LSF, or Kubernetes.
• BS, MS, or PhD in Computer Science, Electrical Engineering, or related field with 8+ years of relevant experience.

NVIDIA offers competitive salaries and a comprehensive benefits package, including equity.

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What You Will Be Doing:

Sensitive Information Protection

• Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust.
• Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves.

Governed Data Access at Scale

• Drive production rollout and self-service onboarding for the enterprise data access platform, spanning connectors across email, messaging, document stores, and search (Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, Glean).
• Design and implement export-control enforcement and long-term audit logging, including authorization checks, schema design, data masking, retention, and RBAC controls across every connected system.

Enterprise AI Knowledge Readiness

• Integrate enterprise content sources including document stores, wikis, and cloud drives into the AI knowledge platform, ensuring content is accurate, fresh, and correctly scoped so AI agents only surface what they are authorized to access.
• Set and enforce the quality bar for content ingestion across every integration, from freshness and accuracy to access-control correctness.

Technical Leadership

• Serve as technical lead across all three charters, making architectural calls, resolving ambiguity, and keeping the team focused on what ships.
• Raise the engineering bar through code reviews, design reviews, and technical mentorship.

What We Need To See:

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 8+ years of experience building and operating large-scale enterprise platforms, with demonstrated growth in technical scope and ownership.
• Strong foundation in backend systems, distributed systems, and data engineering, including large-scale data processing, indexing pipelines, and systems built for reliability and scale.
• Experience building or integrating data connectors or enterprise SaaS integrations (e.g., Confluence, SharePoint, Google Drive, Slack, Teams, or similar).
• Experience training and evaluating ML models for classification tasks, particularly in security, content sensitivity, or information governance domains.
• Strong communication skills with the ability to translate complex technical tradeoffs into clear recommendations for non-technical stakeholders.
• Comfortable making calls with incomplete information and adjusting quickly as priorities shift.

Ways to Stand Out From The Crowd:

• Familiarity with access control models, remediation workflows, and audit requirements in enterprise security or compliance contexts.
• Experience with AI/LLM data pipelines, vector stores, or RAG architectures, especially where access control fidelity is a hard requirement.
• Hands-on experience with Databricks for audit logging and RBAC, or familiarity with Glean or similar enterprise search/DLP products.
• Track record of leading platform migrations, tenant consolidations, or governance modernization at scale.
• Experience mentoring engineers or leading cross-functional projects that required alignment across Security, Legal, Finance, and platform teams to ship.

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Responsibilities:

• Elevate and prioritize NVIDIA DSX, AI Infrastructure, EDA, and semiconductor ecosystem providers
• Establish and execute a comprehensive NVIDIA DSX and semiconductor ecosystem go-to-market plan
• Lead GTM strategy and execution for the Physical AI ecosystem
• Deliver incremental revenue and pipeline growth quarter over quarter
• Partner with internal teams to design full-system solutions
• Collaborate closely with product, sales, and partnerships teams
• Represent NVIDIA at strategic industry forums
• Own the event strategy

Requirements:

• 5+ years of technology sales leadership experience
• Deep AI/ML domain expertise, particularly in enterprise AI, foundation models, and large language models (LLMs)
• Demonstrated success building executive relationships and leading complex deals
• Strong solution architecture and business strategy capabilities
• Expert understanding of the AI customer journey and adoption patterns
• Degree in engineering or a related technical discipline

Benefits:

• Equity
• Benefits package

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The role involves working with product, engineering, and business teams to gather and evaluate requirements for the SW & Services Monetization Program. The ideal candidate will have experience directing large-scale efforts and driving continuous improvement in OTC while maintaining and assisting existing operational tasks.

Responsibilities:

• Collaborate with product, engineering, and business teams to gather and evaluate requirements for the SW & Services Monetization Program.
• Develop, support, and implement solutions across the SAP Order-to-Cash (OTC) landscape and associated satellite systems.
• Review business requirements, process builds, solution builds, and implementation as an expert.
• Build and maintain critical integrations between SAP and other satellite systems supporting the Order-to-Cash process.
• Generate, assess, and uphold high-level project plans and detailed functional and technical build documents for various functional areas.
• Plan Roadmaps for the SW & Services Monetization Program and align efforts within IT and with the business.
• Serve as the primary point of contact between IT and OTC business users.
• Coordinate User Acceptance Testing (UAT) and manage weekly/monthly deployment release cycles.

Requirements:

• Master's degree or equivalent experience in Information Systems, Computer Science, or Business with 10+ years of SAP SD implementation experience.
• Deep experience in enabling Software/Services processes like SW Fulfillment, Licensing Mgmt., Entitlement Mgmt., SW Delivery, Renewal, and Upgrade business.
• Extensive experience in configuring, crafting, and implementing Order-to-Cash (OTC) solutions.
• Strong background in Master data, Order Management, Output Management, EDI, Pricing, Delivery Management, Inter-company process, Billing, and Revenue Recognition.
• Background and support for large-scale, multi-system integrations.
• Hands-on experience in building portals.
• Proactive person with experience operating independently and initiating new projects.
• Experience collaborating with application developers and offshore teams to deliver enterprise-level solutions.

Nice to Have:

• Experience working with SAP S/4 HANA systems and integrations.
• Experience with Cloud platforms such as SFDC, entitlement management systems.
• Familiarity with various middleware system architectures like SAP PI/PO, CPI, MuleSoft, etc.
• Experience with subscription billing products like SAP RAR, BRIM, or Zuora.

NVIDIA offers highly competitive salaries and a comprehensive benefits package, including equity and benefits. You can learn more about their benefits at www.nvidiabenefits.com/. Applications for this job will be accepted until September 8, 2026.

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You will coordinate with internal and external teams to ensure our products' HSIO subsystem is specification compliant and tuned for optimal workload performance. You will also assist in the bring-up of new hardware, solve tough system and board level issues, participate in reviewing board schematics and PCB layouts, and make design and component suggestions.

The ideal candidate will have 6+ years of experience in HSIO validation, in-depth understanding of HSIO protocols such as PCIe, NVLink, and Ethernet, and experience with lab equipment like logic and protocol analyzers.

NVIDIA offers highly competitive salaries and a comprehensive benefits package, including equity and benefits.

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You will work closely with customers to understand their needs, design and architect Ethernet networking AI solutions, and validate network architectures and configurations in the lab.

Key responsibilities include:

• Providing Ethernet and routing expertise to customers during project delivery
• Working on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads, and GPU-enabled AI applications
• Crafting and evaluating DevOps automation scripts for network operations
• Developing switch fabric configurations and implementing tasks related to network configuration and validation for data centers
• Creating Methods of Procedure and deployment documents
• Validating network architectures and configurations in the lab
• Interacting with customers to obtain required information to design and build an optimal solution
• Using software tools to validate and monitor network performance

To be successful in this role, you will need:

• A Bachelor's degree in Engineering, Computer Science, Mathematics, or Physics, or equivalent experience with 8+ years of proficiency in networking fundamentals, switching, routing, TCP/IP, and data center architecture
• Strong routing hands-on experience, including BGP, VxLAN, and EVPN (8+ years)
• Strong Linux administration expertise (5+ years)
• Experience with client engagement for network requirement analysis, designing next-gen data center network architectures, and validating functionality through simulations (6+ years)
• Background in datacenter engineering, CLOS networking architecture, or cloud applications (4+ years)
• Understanding of system-level issues, Linux OS, kernel drivers, PCIe devices, and computer hardware architecture
• Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience
• Experience with AI tools to improve work quality and meet project deadlines
• Strong interpersonal skills, strong abilities with technical presentations, providing internal and customers training
• Ability to travel domestically up to 10% of the time

NVIDIA offers equity and benefits to its employees.

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Key Responsibilities:

• Review board designs and collaborate with other design engineers on product solutions.
• Work with cross-functional teams to balance product cost, performance, and schedule.
• Participate in documentation required to release products to manufacturers and partners.
• Optimize and invent circuits and functions for better performance and lower cost.
• Improve design flow with the infrastructure team.

Requirements:

• B.S or M.S. in Electrical Engineering or equivalent experience.
• 10+ years of proven board design experience.
• Strong analytical skills, including experience in PCB design and review.
• Experience with lab tools such as oscilloscopes, multimeters, and logic analyzers.
• Comfortable working in Linux and Windows environments.
• Strong verbal and written communication skills.

NVIDIA offers equity and benefits to its employees.

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The Senior Accountant will be responsible for preparing day-to-day transactions, monthly balance sheet reconciliations, and detailed income statement analysis.

Key responsibilities include:

• Preparing day-to-day transactions such as accounts payable and receivable, prepaid expenses, and fixed assets
• Preparing monthly balance sheet reconciliations and detailed income statement analysis
• Assisting in preparing financial reports, account reconciliations, and audit preparations
• Managing and taking responsibility for transactional accounting processes such as Procure-to-Pay and Order-to-Cash
• Developing accounting policies and procedures
• Working on ad hoc projects to support the development of the company

Requirements:

• Strong GAAP knowledge, particularly in revenue recognition for SaaS companies (ASC 606)
• Experience working in a fast-growth startup environment and being a self-starter
• Critical thinking and analytical skills, including the ability to detect patterns and interpret incomplete data
• Ability to work in a diverse environment and adapt to shifting priorities
• Bachelor's degree in Accounting
• 3+ years of relevant experience, preferably a mix of public accounting and private industry experience
• Exceptional attention to detail and project management skills
• Proficiency with Netsuite, Microsoft and Google Suite, Ramp, Floqast, etc.
• Active CPA or pursuing license
• Prior experience at a start-up

This is a hybrid role requiring two days per week onsite at the Santa Clara office.

The base pay range for this role is between $110,000 and $130,000, depending on skills, qualifications, experience, and location.

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You will partner with product teams at NVIDIA and Hitachi to encourage NVIDIA software integration into Hitachi platforms and solutions, supporting their long-term business and technical goals.

Responsibilities:

• Drive adoption of NVIDIA software libraries, open models, SDKs, NIMs, blueprints, and frameworks across Hitachi business, product, and engineering groups.
• Partner with NVIDIA account, technical, product, and engineering teams to align integration priorities across multiple Hitachi businesses.
• Accelerate critical Hitachi workloads by incorporating the NVIDIA software stack into products, platforms, and pipelines.
• Connect NVIDIA DevTech, Solution Architecture, Developer Relations, and Product Engineering teams with Hitachi stakeholders to advance collaborative development and adoption.
• Engage executive and technical leaders across NVIDIA and Hitachi to guide integrations, resolve technical challenges, track adoption, identify new workflows, and relay field insights.
• Identify differentiated solution opportunities in Physical AI, DSX / AI Factory, Agentic AI, digital twins, edge AI, and industrial automation while fostering Hitachi needs inside NVIDIA.
• Lead multi-functional partnership execution across product, engineering, solution architecture, GTM, marketing, ecosystem, and co-sell teams to deliver early wins, lighthouse successes, and long-term partnership impact.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Electrical Engineering, or a similar field, or equivalent experience.
• 12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, or solutions architecture.
• 3+ years of hands-on experience applying accelerated computing or AI to production workloads, including industrial AI, simulation, computer vision, edge AI, inference, agentic software, data processing, or digital twins.
• Deep understanding of industrial platform ecosystems and the software stack that runs them, including energy infrastructure, rail and mobility, manufacturing, industrial automation, digital engineering, enterprise AI, or IT services.
• Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external partners across sales, legal, product, and marketing teams.
• Exceptional ability to distill complex technical concepts and articulate value propositions to audiences ranging from developers to C-suite executives.
• Experience influencing partner product roadmaps and bringing joint solutions to market with strategic customers or ISV partners.

Benefits:

• Competitive salaries
• Generous benefits package
• Equity eligibility

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You will closely partner across engineering, marketing, and external partners to define and prioritize product features, enhancements, and innovations.

Responsibilities:

• Define and prioritize product features, enhancements, and innovations in partnership with engineering, marketing, and external partners.
• Develop and communicate a clear product positioning for the laptop lineup.
• Align product strategy with cross-functional teams.
• Optimize product offerings based on data-driven insights.
• Stay up-to-date with industry trends, competitive landscape, and customer needs.
• Drive product adoption with marketing, sales, and engineering teams.

Requirements:

• 15+ years of overall experience in product management.
• 4+ years of leadership experience.
• Experience with creation, AI, and gaming, and a vision for the future of AI.
• Experience working with partners and ecosystems throughout the product lifecycle.
• Strong analytical, marketing, and project management skills.
• Demonstrated experience leading large, cross-functional projects and collaborating with executive leadership.
• Ability to work physically at NVIDIA's Santa Clara headquarters and travel for partner meetings and events.
• Bachelor's degree in electrical or computer engineering, business, marketing, or a similar field.

Preferred Qualifications:

• Expertise in Local AI hardware, ecosystem, and software stack.
• Strong PC ecosystem expertise.

You will also be eligible for equity and benefits.

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Join the team and help advance the next generation of NVIDIA Data Center GPUs!

We lead test planning, execution readiness, defect triage, and automation from early platform bring up through key release stages. We collaborate across CUDA, NVIDIA Driver, GPU architecture, firmware, system platform, Quality Assurance, and program teams to translate feature requirements into measurable coverage, identify release risks, and drive issues to resolution.

Responsibilities:

• Develop CUDA Compute test plans and coordinate validation across PCIe high-performance computing GPUs, NVIDIA systems, OEM servers, GPU configurations, operating systems, driver modes, CUDA versions, and release stages.
• Build Python, C, C++, CUDA, and Bash test applications, automation frameworks, release configurations, and GitLab or Jenkins pipelines. Convert NPI failures, customer defects, root cause findings, and suitable manual tests into reliable automated regression coverage.
• Separate product regressions from automation, infrastructure, configuration, and intermittent issues. Drive defects with clear reproduction steps, affected configurations, intended and actual results, supporting evidence, release impact, fix verification, and adjacent regression coverage.
• Apply AI assisted tools to analyze test runs and validate conclusions against source logs and engineering decisions.

Requirements:

• A BS or MS in Engineering, Computer Science, or a related field, or equivalent experience, with 8+ years experience in software quality, test automation, or software development and validation.
• Experience solving Linux and Windows system issues; development using scripting and programming languages such as Python, C, C++, CUDA, or Bash; and debugging across hardware, firmware, operating system, driver, and application layers.
• Knowledge of Quality Assurance methodology, risk based test planning, functional validation, regression strategy, release readiness, CI/CD, API integrations, log analysis, root cause isolation, and defect triage.
• Strong communication and teamwork skills are essential for explaining release risk and clarifying ownership, dependencies, and blockers.

Preferred Qualifications:

• Experience with NVIDIA GPU hardware, CUDA, PCIe-based GPUs built for data centers, server platforms, CUDA C or C++ parallel programming, multiple GPU validation, P2P, reliability, or stress testing.
• Experience with developing scalable validation infrastructure for labs, cloud environments, containers, virtualization, or configuration management.
• Practical use of AI assisted analytics for test planning, automation, failure analysis, or defect detection is also valued.

You will also be eligible for equity and benefits.

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In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA’s advanced AI and computing platforms.

The ideal candidate brings a blend of deep technical expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.

Responsibilities

• Develop and maintain deep technical expertise in deep learning, robotics, autonomous systems, and AI agents. Serve as the trusted technical advisor, problem solver, and champion to drive adoption of NVIDIA technologies in the developer ecosystem of a large CSP partner.
• Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines.
• Guide partners through onboarding and integration by providing technical resources,such as sample code, guides, and demo pipelines,to accelerate robotics, autonomous systems and AI agents workloads and applications and foster co-innovation of next-generation solutions.
• Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies.
• Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams.

Requirements

• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
• A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, product management, including 5+ years of direct hands-on experience in Robotics, Autonomous systems, AI agents, and GPU technology.
• Proven experience leading, partnering, scaling developer programs at major technology companies, CSPs, or within relevant verticals.
• Significant technical depth in Robotics, Autonomous systems, and AI agents software including GPU accelerated computing, robotics, AI/ML and contributions to product integrations and software libraries.
• Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
• Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed).
• Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners.

Nice to Have

• Hands-on experience building or optimizing vertical-specific solutions.
• Familiarity with advanced computing, AI, and/or GPU acceleration platforms [CUDA, NeMo, Nemotron, Isaac Sim, Isaac GROOT, Alpamayo].
• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
• Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalization.

Benefits

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! You will also be eligible for equity and benefits.

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As a Regional Segment Sales Manager – Physical AI and Digital Twins, you will work with Enterprise customers and internal sales and technical teams to identify and prioritize target end-to-end Physical AI solutions. You will establish and develop NVIDIA relationships with key CXOs and decision makers across the Enterprise, enabling customer references for future industry growth.

Key responsibilities:

• Work with Enterprise customers and internal teams to identify and prioritize target Physical AI solutions
• Establish and develop NVIDIA relationships with key CXOs and decision makers
• Collaborate with NVIDIA sales leaders to develop Physical AI solutions for enterprise customers
• Collaborate with product management, marketing, education services, training, sales operations, finance, and global sales teams to enable GTM
• Maintain an opportunity tracker to communicate insights and feedback on market adoption
• Engage deeply with Account teams to provide strategy for Lighthouse Accounts
• Represent the voice of enterprise customers and partners with insights to inform future product development and ideation

Requirements:

• 12+ years of work experience, including 5+ years driving enterprise product- and software business development
• Bachelor's degree in Engineering, Science, with manufacturing-related 3D digital twin technology
• Proven success in building and managing end-to-end partner solutions
• Excellent consultative and interpersonal skills
• Demonstrable experience in technologies related to 3D systems, digital twins, physical AI, robotics, advanced hardware, industrial manufacturing domains, and next-generation computing technologies

NVIDIA offers equity and benefits to its employees.

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Responsibilities:

• Deploying, managing, and validating High-Performance Storage infrastructure within AI Factory Linux-based environments.
• Acting as the domain expert during customer planning calls through implementation phases.
• Crafting and handing over documentation and performing knowledge transfers to support customers.
• Providing feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.

Requirements:

• 8+ years of experience providing in-depth support, deployment, and validation services for hardware and software-based storage products.
• Solid understanding and experience with storage concepts and technologies, including SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RMDA (RoCEv2/InfiniBand).
• Familiarity with storage benchmarking tools such as FIO, IO500, IOR, HPL, NCCL tests, and MLPerf storage.
• Proficiency in Linux system administration, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring).
• A four-year degree in Computer Science, Electrical or Computer Engineering, or equivalent experience.
• Scripting proficiency in Bash, Python, Ansible, etc.
• Outstanding interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
• Strong organizational skills and ability to prioritize and multi-task with limited supervision.
• Willingness to travel to customer sites within the region up to 20% of the time.

Preferred Qualifications:

• Experience with parallel and distributed filesystem products (Ceph, Weka.io, Vast, DDN, etc.).
• Expertise in optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.
• Proven foundation in networking: Spectrum-X Ethernet, InfiniBand, NVLink Switch fabrics, congestion control, and datacenter topologies.

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Responsibilities:

• Drive unified development standards across Architecture, Interior Design, Furniture, and Finishes globally, ensuring every project reflects a cohesive NVIDIA design language.
• Provide leadership in building solutions for Campus Projects, Tenant Improvement Projects, and Datacenter Office Projects worldwide.
• Serve as the lead creative voice across Architecture, Interior Design, Furniture, and Finishes for all campus, tenant improvement, and datacenter office projects,guiding and uniting collaborators around a clear development vision.
• Lead NVIDIA's workplace build experimentation strategy: identify emerging trends and end-user needs, build and drive pilot programs to test new concepts, and define evaluation criteria for success.
• Assist regional leaders on pre-lease feasibility studies and general build issues. Lead initial new site visits and site studies for potential locations globally.
• Provide strategic mentorship to regional occupancy planners, facility managers, and office managers on architectural planning decisions.
• Coordinate review of architectural drawings and design documentation for campus projects to ensure alignment with NVIDIA Workplace Guidelines.
• Serve as the main lead and creative contact for all external architecture, interior development, furniture, and finishes partners worldwide,shaping creative intent and reviewing concepts and specifications.
• Coordinate budget planning and expenditure on design globally; assess budget constraints and define priorities for value engineering on design and FF&E.

Requirements:

• Bachelor's degree or equivalent experience in interior design or architecture from an accredited institution; advanced degree preferred.
• 15+ overall years of professional experience in corporate workplace development.
• 5+ years in a senior leadership or director-level role.
• Proficiency in AutoCAD and/or Revit and Bluebeam.
• Comprehensive understanding of building codes, accessibility requirements, and workplace safety standards across multiple global regions.
• Proven ability to lead multiple large-scale, concurrent projects across geographies with competing priorities and deadlines.
• Willingness and ability to travel to NVIDIA office sites in the regions.

Nice to Have:

• Experience leading in-house global workplace build functions at a high-tech company or within a corporate real estate organization in the technology sector.
• Well-rounded knowledge of foreign geography, cultures, practices, and markets.
• Experienced with the build of technical labs and specialized research environments.
• Deep expertise in hybrid work models, campus development strategy, and next-generation workplace innovations.

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

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As a Software Program Manager, you will work closely with internal leaders in Software, Hardware, Marketing, and Operations to ensure the software team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market.

Responsibilities:

• Negotiate all system, board, and chip needs on behalf of the software development and QA teams.
• Drive hardware allocation, infrastructure, budgeting, and priority calls.
• Represent the Software organization at Go-To-Market meetings for the GPU segment.
• Build and present a clear overview of the project plan.
• Learn the software stack to understand software team requirements.

Requirements:

• Hands-on experience with the software development lifecycle, specifically for device drivers and applications.
• Experience in chip bringup.
• Detail-oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.
• Excellent communication and technical presentation skills.
• Thorough knowledge of software engineering and lifecycle principles.
• Experience with productivity tools and process automation a plus, as well as data analysis with Excel or Tableau.
• Knowledge of operating systems, graphics principles, AI datacenters, and standards a plus.
• Experience using AI to boost productivity and solve problems.
• 3+ years in a similar or related role and BS CE, EE or CS (or equivalent experience).
• PM certification/training a plus.

You will also be eligible for equity and benefits.

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You will work with world-class systems architects, RAS experts, design teams, verification teams, validation teams, firmware teams, and software partners to define end-to-end hardware RAS features that improve system resiliency, observability, debuggability, error containment, recovery, and serviceability.

Responsibilities:

• Define and drive SoC-level RAS hardware architecture across CPUs, interconnects, memory systems, IOs, safety islands, firmware interfaces, and platform-level components.
• Own RAS features from concept through architecture specification, micro-architecture alignment, RTL implementation support, design verification, silicon validation, debug, and production readiness.
• Develop architectural requirements for fault detection, correction, containment, isolation, telemetry, error reporting, recovery, graceful degradation, serviceability, and diagnostic observability.
• Work closely with design, verification, validation, firmware, software, and platform teams to ensure RAS features are implementable, verifiable, debuggable, and aligned with system-level requirements.
• Understand the broader SoC architecture and identify how RAS mechanisms interact with performance, power, reset flows, clocks, memory hierarchy, interconnect behavior, firmware-visible controls, and platform software.
• Create hardware specifications, architectural requirements, error-handling flows, design guidance, test plans, and architectural models in SystemC, C/C++, Python, or other relevant modeling environments where applicable.
• Plan and review verification and validation strategies for RAS mechanisms, including error injection, recovery validation, coverage analysis, resiliency modeling, and cross-functional architecture reviews.
• Assist in failure analysis and silicon debug for lab, post-silicon, production, and field findings; develop diagnostic screens and localization methods for latent, intermittent, and environment-sensitive failures.
• Apply RAS architecture principles to high-reliability deployment environments, including space-aware and radiation-aware use cases where single-event effects, memory corruption, logic corruption, or cumulative radiation exposure may impact system reliability.
• Follow industry standards and best practices related to RAS, functional safety, semiconductor reliability, debuggability, verification, validation, and silicon testing.
• Patent novel hardware architecture techniques that improve system resiliency, observability, serviceability, and recovery.

Requirements:

• MS or PhD degree in computer engineering, electrical engineering, or equivalent experience.
• At least 8+ years of SoC architecture, design, verification, reliability, silicon validation, or related hardware development experience.
• Strong understanding of Reliability, Availability, and Serviceability (RAS) in the SoC context, including fault detection, correction, containment, telemetry, recovery, degradation modes, debug visibility, and serviceability mechanisms.
• Experience defining and driving hardware architecture features through the full development lifecycle, including architecture definition, design implementation, verification planning, validation, debug, and production readiness.
• Strong understanding of overall SoC architecture and the ability to reason across micro-architecture, full-chip integration, firmware interfaces, software-visible behavior, platform flows, and customer use cases.
• Meaningful industry expertise in one or more SoC architecture areas such as RAS, safety, debug, clocks, resets, interconnects, memory controllers, IO technologies, platform integration, firmware-visible error handling, or diagnostic infrastructure.
• Hands-on experience with design verification, silicon validation, fault injection, coverage analysis, resiliency modeling, diagnostic development, or reliability validation methodology.
• Familiarity with radiation effects, space operation, or other high-reliability deployment environments is strongly valued, including understanding how hardware architecture can mitigate single-event effects and related reliability risks.
• Excellent analytical, written, and verbal interpersonal skills with the ability to work effectively across architecture, design, verification, firmware, software, validation, and customer-facing teams.

Benefits:

• Equity
• Benefits

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As a Senior Software Manager at NVIDIA, you’ll lead this transformation for our Jetson platform. You’ll define and deliver our imaging software roadmap while coordinating engineers and managers building camera drivers, image-processing algorithms, streaming frameworks, and developer tools. Together, we’ll help customers move from prototype to production and shape how the next generation of humanoids and autonomous machines perceives the world. Come build the eyes of physical AI!

Responsibilities:

• Lead delivery of emerging sensing and imaging technologies into our Jetson BSP across drivers, algorithms, frameworks, agents, and skills
• Support a team transitioning to an agentic development workflow that improves execution velocity, transparency, software quality, and system performance
• Translate customer and ecosystem requirements into prioritized capabilities and measurable product outcomes
• Align engineering efforts between software and partner teams in imaging research, tuning, Jetson product, hardware, and QA to ship features into releases on a predictable schedule
• Develop and mentor engineering managers and senior technical leaders while crafting opportunities for the broader team to grow

Requirements:

• BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 10+ overall years of relevant software engineering experience, including 5+ years leading software teams, along with a degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
• Experience developing embedded Linux software for systems-on-chip with modern agentic workflows, including device drivers, platform bring-up, and debugging on target hardware
• Technical depth in C, C++, or Rust systems software, with the ability to guide architecture, performance optimization, and system-level debugging
• Proven ability to translate market requirements into software roadmaps and align interdisciplinary, matrixed teams to deliver results
• Hands-on development experience with modern agentic tools, skills, and workflows

Preferred Qualifications:

• Knowledge of embedded camera technologies, such as MIPI CSI, GMSL, Camera over Ethernet, V4L2, ISP control, or image quality tuning
• Taken edge AI systems from concept to production, especially in robotics
• Experience building agentic skills or AI-assisted workflows that improve engineering efficiency and software quality
• Familiarity with functional-safety development practices, such as ISO 26262 or IEC 61508
• Understanding of input requirements and image quality dependencies for VLMs, VLAs, and other perception models

With competitive salaries and a generous benefits package ( www.nvidiabenefits.com ), 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 outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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Responsibilities:

• Develop a programmatic strategy to grow NVIDIA's expanding ISV and partner ecosystem.
• Collaborate with the Developer Relations team to put in place the promote and co-sell process.
• Work closely with technical groups and select key reference accounts to showcase proof of Accelerated CAE, AI-Physics and Agentic AI for CAE business benefits.
• Increase revenue with the field sales organization.
• Develop and refine scalable GTM strategies for Intelligent Stores with internal groups and external partners.
• Drive the execution of innovative, complex global programs.
• Infuse customer insights to build product direction and market evolution.
• Negotiate impactful business alliances and provide strategic support for sales execution.

Requirements:

• MS/PhD in Computer Science or Engineering or equivalent experience.
• 8+ years of experience developing software tools for CAE practitioners, preferably with a CAE ISV.
• A track record of defining and delivering impactful technical engagements and managing technical and business alliances.
• World-class communication skills.

Benefits:

• Equity
• Benefits

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Job Description:

As a Senior High-Performance Storage Architect, you will deploy, manage, and validate High-Performance Storage infrastructure within AI Factory Linux-based environments. You will act as the domain expert during customer planning calls through implementation phases. Additionally, you will craft and hand over documentation and perform knowledge transfers to support customers. You will also provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.

Requirements:

• 8+ years of experience providing in-depth support, deployment, and validation services for hardware and software-based storage products.
• Solid understanding and experience with storage concepts and technologies, including SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RMDA (RoCEv2/InfiniBand).
• Familiarity with storage benchmarking tools such as FIO, IO500, IOR, HPL, NCCL tests, and MLPerf storage.
• Proficiency in Linux system administration, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring).
• A four-year degree in Computer Science, Electrical or Computer Engineering, or equivalent experience.
• Scripting proficiency in Bash, Python, Ansible, etc.
• Outstanding interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
• Strong organizational skills and ability to prioritize and multi-task with limited supervision.
• Willingness to travel to customer sites within the region up to 20% of the time.

Preferred Qualifications:

• Experience with parallel and distributed filesystem products (Ceph, Weka.io, Vast, DDN, etc.).
• Expertise in optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.
• Proven foundation in networking: Spectrum-X Ethernet, InfiniBand, NVLink Switch fabrics, congestion control, and datacenter topologies.

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As an Applied Systems Engineering Rotation Engineer, you will move through different teams such as Architecture, Bring-up, and Production. You will collaborate with senior engineers and mentors on projects that help NVIDIA design, integrate, validate, operate, and improve large-scale GPU compute clusters.

Responsibilities:

• Contribute to system-level designs for large-scale accelerated computing environments, including reusable reference architectures and deployment-specific solutions.
• Evaluate, prototype, and validate emerging infrastructure, hardware, software, firmware, networking, storage, and accelerator technologies.
• Support end-to-end system integration, bring-up, validation, and production-readiness activities across cross-functional engineering teams.
• Define, document, and communicate engineering requirements, design tradeoffs, debug methods, findings, and recommendations.
• Analyze workload, telemetry, performance, reliability, and operational data to identify issues and improvement opportunities.
• Build or improve dashboards, automation, tools, and workflows that support issue detection, diagnosis, recovery, and technical decision-making.
• Present technical work and communicate risks, blockers, status, and recommendations through design reviews, project readouts, and cross-functional forums.

Requirements:

• Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Data Science, Mathematics, Physics, or a related technical field.
• Experience with software development or scripting in Linux, Bash, Python, C, C++, Java, Go, or similar technologies.
• Ability to analyze technical data, identify patterns, summarize findings, and communicate conclusions clearly.
• Interest in large-scale systems, AI infrastructure, datacenter systems, hardware/software integration, or distributed computing.
• Strong collaboration and communication skills, with a willingness to ask questions, learn quickly, and work across engineering teams.

Benefits:

• Equity
• Benefits

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You will craft and deploy distributed storage solutions, build automation tools, and ensure the efficient operations of our growing IT ecosystem. Collaboration with engineering teams will be essential to align infrastructure with their evolving needs, document best practices, and contribute to groundbreaking projects.

Responsibilities:

• Design, implement, and optimize on-prem HPC infrastructure supplemented with cloud computing.
• Design and implement scalable and efficient Storage solutions for data-intensive applications.
• Develop tooling to automate deployment, management, and monitoring of large-scale infrastructure environments.
• Document general procedures and practices, perform technology evaluations related to distributed file systems.
• Collaborate across teams to understand developers' workflows and gather infrastructure requirements.
• Influence and guide methodologies for building, testing, and deploying applications.

Requirements:

• BS in Computer Science (or equivalent experience) with 8+ years of relevant experience.
• 8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
• Experience with Enterprise NAS solutions like NetApp, Pure Storage, and S3-based storage.
• Experience with parallel or distributed filesystems such as Lustre, GPFS.
• Python/Bash/Golang programming/scripting experience.
• Strong experience operating services in leading Cloud environments (AWS, Azure, GCP).
• Experience with multiple monitoring stacks.
• Excellent communication and collaboration skills.

Nice to Have:

• Background with RDMA (InfiniBand or RoCE) fabrics.
• Prior experience with HPC cluster management tools.
• Experience with containerization technologies like Docker, Kubernetes.

NVIDIA offers equity and benefits, and is considered one of the technology world's most desirable employers.

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Tegra combines high-performance CPUs with NVIDIA GPUs and specialised accelerators to power autonomous vehicles, robotics, industrial automation, edge AI, and other demanding applications.

You will guide globally distributed teams responsible for CPU and SoC initialisation, secure boot, system control, safety services, confidential computing, and production diagnostics.

Responsibilities:

• Lead and grow globally distributed firmware teams and engineering managers.
• Own delivery from architecture and pre-silicon development through bring-up, production, and long-term support.
• Direct development of CPU boot, memory and coherency initialisation, multicore startup, power-state transitions, confidential compute, and OS handoff.
• Partner with CPU, SoC, hardware, verification, OS, DRIVE OS, safety, security, and product teams on integrated platform delivery.
• Drive pre-silicon readiness, silicon bring-up, fault injection, hardware-in-the-loop testing, and development automation.
• Lead firmware execution for automotive and industrial programs aligned with ISO 26262, IEC 61508, ISO/SAE 21434, and applicable certification requirements.
• Oversee safety and security activities such as requirements traceability, FMEA, FTA, threat analysis, secure design reviews, verification evidence, and assessor engagement.
• Work with OEMs, Tier 1 suppliers, industrial customers, and ecosystem partners to resolve technical and delivery challenges.

Requirements:

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field,or equivalent experience.
• 12+ overall years of experience in embedded firmware, system software, or low-level platform software.
• 7+ years of engineering leadership experience, including leading managers or distributed teams.
• Proven success delivering complex CPU or SoC firmware from architecture through production.
• Deep understanding of CPUs, multicore systems, caches, coherency, memory, interrupts, power management, and hardware-software interfaces.
• Strong knowledge of bare-metal or real-time firmware, bootloaders, embedded operating systems, Linux internals, and hardware bring-up.
• Experience with heterogeneous SoCs containing CPUs, GPUs, accelerators, security processors, or system-control microcontrollers.
• Experience with pre-silicon development, post-silicon debugging, failure analysis, and in-field diagnostic processes.
• Strong understanding of firmware quality, reliability, secure development, and product lifecycle management.
• Excellent technical judgment, communication, and cross-functional leadership skills.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

Applications for this job will be accepted at least until September 5, 2026.

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This Cloud-based scientific computing cloud platform enables physics-based numerical simulation solvers, AI-based training, inference, and visualization workflows for physical science and engineering problems.

Those applications include weather prediction, climate modeling, industrial design, and digital twins simulation in various domains, such as aerospace, automotive, sports, renewable energy, and biomedical.

Responsibilities:

• Design services and take ownership of underlying cloud infrastructure for physics-informed and data-driven scientific workflows.
• Design novel algorithms and actively engage with operations to increase overall system performance across the stack, including deep understanding of application code, such as DL frameworks, numerical solvers, microservices, APIs, and heterogeneous accelerated computing with CPUs and GPUs.
• Design, build, deploy, and operate scalable I/O infrastructure for checkpointing, data loading, pre- and post-processing of data.
• Optimize compute, storage, and network architecture specific to physics and simulation-driven applications.

Requirements:

• BS/MS degree in Computer Science or related areas or equivalent experience.
• 10+ years of experience working on building and operating distributed compute and data-intensive platforms as a service on the cloud.
• Proven skill in a compiled language (Go, Rust, C++, or otherwise).
• Strong foundational knowledge in cloud computing, such as "The Datacenter is a Computer" architecture, cloud security architecture, virtualization, resource pooling, and elasticity.
• Proven skills in distributed systems and parallel processing, such as system models of distributed computation, topology abstraction, logical time, synchronization, and deadlock detection in distributed systems.
• Hands-on debugging skills with processes, threads, deadlocks, and synchronization.
• Strong evidence of algorithmic thinking and system design skills.
• Be self-motivated, have strong interpersonal skills, and be able to work independently with multiple teams with minimal direction.

Benefits:

• Equity
• Benefits package

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Responsibilities:

• Evangelize, architect, and implement new features
• Coordinate and drive development efforts across multiple teams
• Help define forward-looking improvements to the CUDA APIs and programming model
• Extend important CUDA programming models and functionality such as CUDA Graphs
• Explore ways to use Graphs to improve the scheduling of AI/ML workloads on GPUs to be more efficient and faster
• Write effective, maintainable, and well-tested code
• Develop code for multiple operating systems

Requirements:

• BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
• Strong C and C++ programming skills
• Minimum of 4 years of related development experience
• Experience driving projects across multiple teams
• Experience working with large codebases
• Background with operating system interfaces for threads, process control, and virtual memory
• Understanding of system-level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
• Experience writing and debugging multithreaded programs
• Good written communication and presentation skills

Preferred qualifications:

• Prior experience with parallel computing, preferably writing CUDA Programs or Libraries that use CUDA
• Knowledge of memory coherence and consistency models
• Background with kernel mode development
• Experience with Linux Systems Software development
• Experience maintaining and extending programming models or higher-level language support for similar environments

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As a member of our One Team model, you will support collaborative product design and development activities focusing on one business and possibly all business segments, including Data Center, Automotive, Robotics, Gaming graphics, and NVIDIA Shield products.

Your contributions will be towards product development and supporting translation of thermal technologies into designs, specifications, and manufacturing from package to systems.

Responsibilities:

• Work in a dynamic and fast-paced product development environment
• Design new thermal solutions to enable NVIDIA's next generation of products
• Investigate relevant technologies and design concepts
• Perform thermal simulations using industry standard CFD tools
• Characterize thermal designs and electronic assemblies: Building-up physical prototype assemblies, instrumenting those assemblies for testing, carrying out testing with specific diagnostic software, summarizing data, disassembling, modifying and reassembling systems
• Present analysis summaries and test reports

Requirements:

• BSME minimum (or equivalent experience)
• 5+ years relevant experience in electronics thermal design
• Deep understanding and passion for heat transfer and fluid dynamics
• Strong proficiency in at least one thermal simulation tool (e.g., Icepak, Flotherm, Fluent)
• Hands-on experience and proficiency in thermal testing (i.e., thermal sensors, using automated data acquisition, system assembly, and data analysis techniques)
• Strong interpersonal skills, and specifically a proven ability to effectively guide and collaborate within a dynamic environment
• Background in leading resources including consultants, suppliers, and manufacturing partners

Preferred Qualifications:

• Extensive experience with electronics cooling in one of NVIDIA's core business areas
• Well-rounded background in product conceptualization, design, and manufacturing with good knowledge/experience from package to product level
• Knowledge of thermal solution manufacturing processes
• Experience with engineering statistical analysis methods and/or statistical process control for high volume manufacturing

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You will work on designing and implementing machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.

Responsibilities:

• Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.
• Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
• Develop AI-based agents and tools to assist with fixing system issues and application optimization.
• Collaborate with key partners and customers on the deployment of complex machine learning solutions in various environments.
• Maintain deep domain expertise by knowing the latest published advances in ML systems and algorithms.
• Provide technical mentorship and leadership in data science and machine learning to a team of engineers.

Requirements:

• BS, MS, or PhD or equivalent experience in Machine Learning, Data Science, Computer Science or a closely related field.
• 12+ years of professional experience in designing, implementing, and productionizing high-quality ML/DL solutions.
• 3+ experience as technical lead in ML model development.
• Proven hands-on experience (2+ years) with large-scale data processing platforms, such as Apache Spark.
• Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models.
• Excellent programming skills in Python and Python data science related libraries like numpy, pandas, scikit-learn, scipy, pytorch, and tensorflow.
• Deep experience with sophisticated ML methodologies, including LLM/GenAI, reinforcement learning, and adaptive, on-line ML systems.
• Strong expertise in feature engineering, feature importance assessment, and developing boosted tree model solutions (e.g., XGBoost).

Benefits:

• Equity
• Benefits

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In this role, you will architect cloud solutions that leverage NVIDIA microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning.

Responsibilities:

• Work closely with our Product and Design teams to define feature specifications and build the next generation of AI assisted coding and profiling services and skills.
• Architect, design and develop high-performance, and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.
• Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services.
• Mentor engineers and review code and design.

Requirements:

• B.S. (or equivalent experience) in Computer Science with 8 years of industry experience.
• Experience in large-scale user-facing application development using web/cloud services.
• Familiar with Kubernetes, Infrastructure as Code, AWS.
• Experience with DevOps including CI/CD, monitoring and alerts.
• Proficiency in Python.
• Strong communication skills to collaborate with cross-functional partners.
• Familiar with either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way.

Preferred Qualifications:

• Experience writing CUDA code and optimizing CUDA kernels.
• Experience with Kata Container or any other VM-based container runtime.

You will also be eligible for equity and benefits.

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The Logistics Execution Program Manager owns secured in-transit execution and service reliability, driving partner accountability to meet committed on time delivery through TMS-defined strategies, and optimizing network performance across transportation, packaging configurations, and equipment utilization.

Responsibilities:

• Responsible for overseeing operational programs and projects that support logistics processes and partner performance; setting goals and 3PL performance objectives and driving performance improvement activities with suppliers and cross functional teams to assure operations efficiency, speed, and productivity.

• Develop and deliver initiatives and assignments from inception to close-out, on time and within scope and budget. Lead and maintain efficient delivery of all services.

• Develop recommendations and presentations to Executive Management on matters pertaining to operational changes, rule and process updates, incident investigation and response, long term strategies, and engineering project operations impacts.

• Own the development of logistics programs, including building out future AI/automation capability.

• Lead continuous improvement initiatives (Lean, Six Sigma tools) to reduce cost, cycle time, failures, and optimization, while increasing capacity and quality.

• Develop capacity planning and inventory strategies based on projected demand to support product launches and seasonal demand spikes, in addition to leading organizational change; ramping new sites and/or lanes, rollout of new systems (TMS, ERP integrations), SOPs, training, and governance.

• Collaborate in the development, implementation, and administration of business continuity plans (disruption mitigation, contingency carriers, accidents, emergencies, inclement weather, natural disasters, and geopolitical events) and business continuity related communication for internal and external partners.

• Coordinate cross-functional collaborators (product, engineering, sales, finance, customer success, global trade, tax, IT, security) to align service SLAs with supplier commercial commitments.

• Evaluate, develop, recommend, and communicate new or revised policies, programs and procedures that impact cross functional operations, including policies, Standard Operating Procedures (SOP), communication protocols, business processes, and development of Key Performance Indicators and reporting.

Requirements:

• Bachelor’s degree in Transportation, Logistics, Supply Chain or a related field (or equivalent experience).

• Minimum of 8 years of experience in global Transportation, Logistics, Supply Chain, ideally within high-tech, data center, or semiconductor industry.

• Proven track record leading complex, cross-functional programs with external partners (3PLs, carriers, brokers). Data Center experience a plus.

• Strong data-driven decision-making: experience with benchmark definition, dashboards, and regular operational reviews.

• Hands-on experience with SAP TMS and ERP systems.

• Excellent interpersonal skills with the ability to influence and align cross-functional teams and partners.

• Network modeling and high volume FTL road freight experience.

• Strong sense of ownership, integrity, and initiative in a collaborative and fast-paced, dynamic environment.

• Deep analytical skills with a focus on accuracy, thoroughness, and data-driven decision-making.

• Strong interpersonal, planning, and prioritization skills to run multiple programs and deadlines.

You will also be eligible for equity and benefits.

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The role involves developing a deep understanding of datacenter workloads and applications, finding opportunities to address customer needs, and translating these into compelling GPU value propositions and product proposals. The ideal candidate will have 7+ years of experience in technology, preferably in product management, AI-related engineering, design, or development.

Responsibilities:

• Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference
• Find opportunities where NVIDIA can uniquely address customer needs, and translate these into compelling GPU value proposition and product proposals
• Work cross-functionally with partners, engineering, operations, and field teams to develop comprehensive product go-to-market plans and product positioning
• Work with the sales organization to develop effective sales collateral and tools

Requirements:

• 7+ years of total experience in technology with previous product management, AI-related engineering, design, or development experience highly valued
• BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
• Demonstrated ability to fully contribute in one or more of the areas above within 3 months
• Knowledge of, and capable of explaining GPU, software, and computing architectures
• Strong desire to learn, motivated to tackle complex problems, and the ability to make sophisticated trade-offs
• Ability to work closely with cloud partners

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity and benefits

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As a Manager, Silicon Operations Production Planning, you will build and lead a dynamic team of operations supply planners. You will act as a vital connection within Operations, Engineering, and the Business Units to set priorities and supply strategies.

Key responsibilities include:

• Owning operations' supply commitments for multiple Networking silicon chip product families
• Presenting supply challenges to the management team and making recommendations for resolutions
• Driving the team to craft an optimized production schedule for multiple products and SKUs
• Influencing decisions on dependent demands of substrates and other materials
• Collaborating with teams and leaders from wafer planning, datacenter systems planning, and business unit representatives

Requirements:

• 7+ years of experience in semiconductor operations, supply planning, or a relevant area
• 3+ years of experience managing teams with direct reports
• Degree in Industrial Engineering or Business Administration
• Effective communication, problem-solving, teamwork, organizational, and quantitative skills
• Proficiency in business software applications such as Microsoft Office, Excel VBA, SAP

To stand out:

• Background or experience in engineering, networking products
• Demonstrated ability to drive solutions to real-world operational problems
• Expert system skills in using AI tools to improve efficiency and quality of work

We offer a comprehensive benefits package, equity, and a competitive salary. If you're a creative and autonomous professional with a passion for technology, we want to hear from you.

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Your responsibilities will include leading a Partner Enablement team to ensure product quality and reliability, optimize system performance, and enhance the integration process. You will engage with customers from New Product Introduction (NPI), design integration, and validation stages, all the way through to mass production deployment.

This is a unique opportunity to lead Embedded solutions into the fastest-growing markets, including artificial intelligence, deep learning, and advanced computing!

What You'll Be Doing:

• Collaborate with major Tier-1 and key OEM customers, as well as internal teams, to develop future Embedded architectures and roadmaps.
• Work alongside hardware design, firmware, software, sensors validation and AI algorithm teams to integrate NVIDIA's Embedded solutions into our customers' products.
• Define system-level requirements and specifications for Embedded architectures using NVIDIA SoC solutions, while maintaining design documentation, test plans, and other customer enablement materials.
• Evaluate and enhance system performance, power efficiency, and thermomechanical integration, while simultaneously providing internal teams with laser-focused feedback for future improvements.
• Collaborate with multi-functional teams at NVIDIA to ensure customer solutions are extraordinarily optimized to be the highest-performing solutions in the world.

What We Need to See:

• Expertise in thermal, mechanical, and electrical (TME) engineering, with experience ranging from board design to the integration of large-scale Automotive and Robotic systems.
• 3+ overall years of proven experience.
• BS or equivalent degree in EE/CE/CS engineering field or equivalent experience.
• Consistent track record of leading a team and working with multidisciplinary groups (hardware, firmware, software, validation, project management, sensors, and AI algorithm developers).
• In-depth knowledge of AI hardware products and applications.
• Exceptional communication skills, both external and internal, coupled with strong collaboration abilities.
• A deep passion for complex problem-solving on a technical and process level, while comprehending the broader implications and trade-offs involved.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. You will also be eligible for equity and benefits.

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The role involves providing transformation leadership of customer service and case management process and procedures throughout service and repair supply chain operations worldwide. The ideal candidate will have over 12 years of experience in large enterprise customer relations and case coordination, ideally within service, repair, and/or supply chain operations.

Key responsibilities include:

• Providing transformation leadership of customer service and case management process and procedures
• Owning customer-facing workflows for intake, triage, addressing blocking issues, communication, resolution, and closure
• Partnering with customer service, repair, logistics, planning, quality, IT, and business teams to improve service outcomes
• Improving customer service systems, CRM platforms, dashboards, and workflow tools to increase transparency and performance
• Analyzing case trends, service performance, backlog, response times, aging, and root causes to drive corrective actions

The successful candidate will need to have:

• Over 12 years of experience in large enterprise customer relations and case coordination
• Solid understanding of customer service functional processes
• Practical experience with customer service platforms and tools
• Capability to transform customer service requirements into positive adjustments in processes, systems, reporting, and the operating model
• Solid knowledge of service and repair supply chain processes
• Proven track record of managing customer concerns, operational risks, and cross-functional issue resolution

Benefits include competitive salaries, a generous benefits package, and eligibility for equity.

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In this leadership role, you will guide a team responsible for bringing next-generation HBMs from NPI through manufacturing ramp and high-volume production.

Responsibilities:

• Lead and mentor a team of product development engineers responsible for HBM bringup, characterisation, and production ramp.
• Partner closely with HBM vendors and NVIDIA teams across multiple functions to root-cause manufacturing failures and shift-left failures back to suppliers manufacturing.
• Own root-cause analysis and resolution for yield excursions, fallout, and reliability escapes; ensure seamless NPI-to-production transitions.
• Lead yield improvement initiatives with a goal of reducing HBM manufacturing fallout to zero across NVIDIA's supply chain.
• Deliver structured quality feedback to HBM suppliers and lead test audits to continuously improve outgoing product quality.
• Establish scalable data analysis frameworks, automation tooling, and statistical methodologies for validation and production monitoring.
• Collaborate with operations teams on product qualification, ramp readiness, and high-volume manufacturing scale-up.
• Present HBM readiness status and risk assessments to NVIDIA leadership.

Requirements:

• MS or BS in Electrical Engineering or equivalent experience.
• 8+ overall years of experience in memory product development or engineering.
• 3+ years of technical leadership and people management experience.
• Strong circuit-level understanding of HBM architecture and solid command of key AC/DC datasheet parameters.
• Hands-on experience with product characterisation on the Verigy 93K ATE platform.
• Proficiency in Python, C, or C++ with demonstrated experience in statistical data modelling using JMP or equivalent tools.
• Experience building automation and scripting infrastructure for validation, data analysis, and test workflows.
• Proven track record to drive problem solving in a multi-functional environment under aggressive schedules.
• Strong leadership, communication, and organisational skills.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

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Job Summary: As a Solutions Architect, you will drive end-to-end technology solution integration with strategic customers and provide recommendations for business and engineering teams based on customer feedback.

Responsibilities:

• Collaborate with NVIDIA Cloud Partners to implement innovative hardware and software solutions.
• Identify and secure business opportunities with Sales Account Managers and other business leads.
• Provide primary technical support for customers during development, construction, and production of extensive GPU cloud infrastructure.
• Conduct regular technical customer meetings for project details, feature discussions, and debugging sessions.
• Build Proofs of Concepts (PoCs) with customers to address critical business needs.
• Prepare and deliver technical content, including presentations and workshops.
• Analyze and develop joint solutions for customer performance and scaling issues.

Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience.
• 7+ years of Solution Engineering experience working directly with partners and customers.
• Experience crafting and deploying large-scale cluster environments.
• Practical expertise in data center design, development, and execution for AI and HPC.
• Efficient time management and clear communication skills.

Preferred Qualifications:

• Familiarity with NVIDIA hardware and systems technology, such as NCCL, DCGM, UFM, and Mission Control.
• Background with at-scale GPU systems, performance testing, and AI benchmarking.
• Involvement in cluster administration and coordination (SLURM, K8s, etc.).

Benefits:

• Equity eligibility
• Comprehensive benefits package

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Through HW and SW expertise, you will explore challenging areas of test coverage and test automation to find the right solutions.

Responsibilities:

• Define and implement manufacturing test solutions for Datacenter System products.
• Work closely with Contract Manufacturers, including occasional travel to their factories.
• Investigate and introduce new manufacturing test technology and methodology to improve production efficiency.
• Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.
• Review and provide feedback for DFT in the early design stages.
• Debug complex hardware and software issues during build phases.
• Contribute to automated diagnostic generation and validation infrastructure.

Requirements:

• 8+ years of experience with post-silicon validation experience in Board or System products.
• BS Degree or equivalent experience.
• Experience working with manufacturing test programs at platform level.
• Experience with Datacenter Platforms.
• Background with Python programming and bash scripting.
• Excellent problem-solving skills, attention to detail, and effective communication skills.

Preferred Qualifications:

• Background with rack and cluster level test, test methodology and strategy.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. You will also be eligible for equity and benefits.

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In this leadership role, you will guide a team responsible for bringing next-generation GPU/SOC/LPU/Auto/Tegra technologies from design validation through manufacturing ramp and high-volume production.

You will collaborate across design, Silicon Co-design Group, test engineering, reliability, and manufacturing teams to drive yield improvement, test optimization.

The ideal candidate combines strong technical depth in CMOS, System Level testing, and mixed-signal systems with proven leadership in product development and high-volume semiconductor manufacturing.

Responsibilities

• Lead and mentor a team of product development engineers responsible for validation, characterization, and production ramp of NVIDIA product lines.
• Drive product development strategy from early silicon validation through qualification and high-volume manufacturing.
• Develop and implement validation methodologies and test strategies for mixed-signal silicon designs.
• Partner closely with Mixed-Signal Design, Test Engineering, Reliability, and Manufacturing teams to ensure seamless transition from design to production.
• Oversee Product characterization of new integrated circuit designs.
• Lead root-cause analysis and complex problem resolution related to silicon performance, yield excursions, and product reliability.
• Drive yield improvement initiatives, test time reduction, and manufacturing efficiency across wafer and module test flows.
• Provide structured feedback to design teams regarding silicon performance, design margins, and manufacturability improvements.
• Establish scalable data analysis frameworks, automation tools, and statistical methodologies for validation and production monitoring.
• Collaborate with operations teams to support product qualification, ramp readiness, and high-volume manufacturing scaling.

Requirements

• Master's or Ph.D. in Electrical Engineering, Physics, Computer Engineering, or a related field, or equivalent experience.
• 15+ years of background in semiconductor product development, testing, or manufacturing engineering, including significant leading large, cross-functional technical teams.
• 5+ years of Director leadership or management experience leading engineering teams.
• Strong understanding of CMOS, Component characterization, and analog/mixed-signal circuit behavior.
• Experience with high-speed testing and characterization.
• Proven experience in yield analysis, product characterization, and silicon debug.
• Experience using statistical data analysis tools (e.g., JMP) for engineering insights and yield improvement.
• Demonstrated ability to drive cross-functional problem solving under aggressive schedules.
• Strong leadership, communication, and organizational skills.

Nice to Have

• Experience developing or productizing SOC, GPU, Automotive.
• Deep expertise in System Level testing, Voltage-Frequency understanding, and manufacturing ramp readiness.
• Experience with control loops, feedback systems, and high-speed SerDes/analog front-end validation.
• Deep knowledge of advanced CMOS process technologies, multi-chip module (MCM), and high-speed interfaces.
• Experience leading product ramps from prototype to high-volume manufacturing.

Benefits

• Competitive salaries
• Generous benefits package
• Equity eligibility

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As a Senior Technical Program Manager - Tegra, you will lead and execute all aspects of Tegra Diagnostic SW planning and execution, coordinating the Diag POR, pre-silicon development, pre-silicon Diag validation, Silicon and Platform bring-up, and productization.

Responsibilities:

• Lead and execute all aspects of Tegra Diagnostic SW planning and execution
• Coordinate the Diag POR, pre-silicon development, pre-silicon Diag validation, Silicon and Platform bring-up, and productization
• Identify and drive all technical and logistical related activities, including running complex project schedules, removing roadblocks, and meeting all silicon and platform milestones
• Ensure teams provide all needed collaterals for the SW Product Life Cycle development process
• Schedule and lead status meetings, handle communication of progress/status within/across all key collaborators and dependencies across multiple geographic locations
• Partner closely with product design teams to define, prioritize, and execute bring-up of their custom requirements

Requirements:

• Bachelor's or master's degree in computer/Electronics engineering or related field (or equivalent experience)
• 8+ overall years of proven experience in related areas
• Deep understanding of the SW development life cycle
• Proven SW Technical program management background in a matrix organization
• Strong understanding of systems architecture: CPU, memory, buses and interconnects, Power Management, Operating Systems, and device drivers

Nice to have:

• Proven track record in leading SW for SOCs and Platform bring-up
• Experience in Pre-Silicon/Post-Silicon bring-up of complex SoC and Platform
• Experience in design and development of Kernel, System Software, or drivers, or diagnostic software
• Strong understanding of silicon and platform validation, characterization process, SOC micro-architecture, platform architecture

Benefits:

• Equity
• Benefits

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In this role, you will coordinate with multi-functional teams to maintain and improve quality systems for better customer experiences. Your responsibilities will include:

• Developing test strategies for new features, including test equipment and diagnostic software specification and validation
• Performing detailed failure analysis to identify root causes of customer-reported issues
• Investigating NVIDIA product failures and determining solutions through lab experimentation and collaboration with other teams
• Applying knowledge of system design, electrical engineering, and PCBA manufacturing to propose containment and corrective actions
• Maintaining involvement in containment, risk assessment, and risk mitigation activities pertaining to hardware failures
• Sharing lessons learned from previous field quality issues and providing early input via DFMEA
• Assisting in generating 8D failure analysis reports and verifying corrective actions' effectiveness

To succeed in this role, you will need:

• 8+ years of hands-on experience in system/board level hardware verification/debug
• A BS or MS Degree in Electrical or Computer Engineering (or equivalent experience)
• Knowledge in manufacturing and production testing of boards and systems
• Experience with system test development and knowledge of components such as servers, storage devices, network devices, power supplies, cooling systems, security, and software
• Exposure to digital design, circuit analysis, schematic review, statistical analysis, firmware, drivers, and diagnostic software applications
• Comfortability with the use of lab tools (oscilloscopes, multimeters, DAQ)
• Outstanding problem-solving, collaborative, and interpersonal skills

Experience with Automotive products and standards, knowledge of GPU/CPU product infrastructure and test methodology, and strong technical/debug skills in test equipment and test program troubleshooting are desirable.

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Job Summary: As a Principal System Engineer, Operations, you will provide technical support for L10/L11 rack-level integration for Original Design Manufacturers (ODMs). You will collaborate with ODM partners to optimize rack-level integration processes, debug and resolve technical issues, and provide customer quality support.

Key Responsibilities:

• Act as primary technical support for L10/L11 rack-level integration for ODMs
• Collaborate with ODM partners to streamline and optimize rack-level integration processes
• Conduct detailed debugging and solve rack-level integration issues
• Address factory issues promptly to improve production line efficiency
• Provide L11 customer quality support
• Work with engineering design teams to ensure seamless integration of changes or corrective actions
• Offer direct feedback into the manufacturing process for continuous improvement

Requirements:

• Proficient in identifying and resolving challenges effectively
• Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field (or equivalent experience)
• Extensive experience (15+ years) in systems engineering, preferably within the data center or semiconductor industry
• Strong understanding of rack-level systems integration processes and technologies
• Proven track record of debugging technical issues and implementing effective solutions
• Excellent communication skills and ability to collaborate with multi-functional teams and external partners
• Experience in customer support or quality assurance is a plus
• Proficiency in networking topologies, setup, and testing high-speed networks
• Capability to travel onsite to various ODM locations

Benefits: NVIDIA offers competitive salaries and a generous benefits package, including equity.

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This is a highly strategic role responsible for driving the technology, supply chain, and sourcing strategy for one of the most critical components enabling NVIDIA's next-generation AI systems. The ideal candidate will partner closely with engineering and suppliers to enable advanced PCB and laminate technologies, build a resilient upstream supply chain, and ensure NVIDIA's roadmap is supported by leading-edge manufacturing capabilities.

Responsibilities

• Partner with Engineering, Operations, and suppliers to drive adoption of next-generation PCB and laminate technologies, ensuring manufacturing readiness for future AI platforms.
• Build executive relationships with key suppliers to align roadmaps, investments, and capacity expansion plans.
• Lead supplier business reviews, strategic negotiations, and long-term agreements that improve cost, quality, capacity, and supply assurance.
• Drive should-cost analysis, cost reduction strategies, and commercial negotiations while balancing technology, quality, and supply continuity.
• Lead risk management initiatives, including multi-sourcing strategies, capacity planning, material risk mitigation, and business continuity planning.
• Enable early supplier involvement to accelerate innovation and achieve aggressive Speed of Light (SOL) development schedules.
• Partner with Engineering throughout New Product Introduction (NPI) to identify technology, capacity, and supply risks early and develop mitigation plans.

Requirements

• BS in Engineering, Supply Chain, Business, or equivalent experience. MBA preferred.
• 12+ years of experience in global commodity management, strategic sourcing, or supplier management with significant experience in PCB, laminate, or advanced electronics manufacturing.
• Experience developing long-term supply chain strategies that enable technology roadmaps and support rapid business growth.
• Strong analytical skills including should-cost modeling, cost breakdown analysis, supplier benchmarking, capacity analysis, and supply-demand planning.
• Proven ability to influence engineering, operations, and executive leadership through data-driven decision making.
• Outstanding supplier relationship management, negotiation, and executive communication skills.
• Experience leveraging AI and advanced analytics to improve sourcing decisions, supply chain insights, and data quality.
• High degree of ownership, initiative, and the ability to lead through ambiguity in a fast-paced environment.

Benefits

NVIDIA offers highly competitive salaries and a comprehensive benefits package, including equity.

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Responsibilities:

• Define, develop, implement, and support ATE test program solutions for the next generation of GPUs and AI server products.
• Develop and debug ATE test method code.
• Create and debug scripting and automation tools.
• Participate in cross-functional teams, including Product Development Engineering, DFT, and IC design, to efficiently debug product failures and implement optimal solutions.

Requirements:

• Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
• 3+ years of relevant work experience in the semiconductor industry.
• Knowledge of silicon verification, testing, and manufacturing.
• Experience with Advantest 93K ATE platform.
• Proficiency in Linux and programming languages such as C/C++/Java and/or Perl/Python.
• Good communication skills and ability to work well in a group environment and with cross-functional teams.
• Experience with SRAM testing and familiarity with 2.5D or MCM assembly.
• Understanding of DFT insertion techniques, including SCAN, ATPG, MBIST, and IOBIST.
• Knowledge of system-level testing/validation is a plus.
• Experience with utilizing AI in ATE testing is a plus.

Benefits:

• Competitive salaries
• Generous benefits package
• Equity eligibility

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Responsibilities:

• Design software for next-generation compute GPU solutions.
• Develop and maintain software technologies that enable and support NVIDIA GPU hardware across Linux and Windows operating systems, ensuring optimal performance and feature functionality.
• Implement cross-platform software solutions that support new and evolving hardware architectures.
• Collaborate with global internal teams across software, hardware, architecture, and OEM support.
• Develop features for clock, thermal, and power management.
• Build telemetry, device initialization, device management, and reset capabilities.
• Implement memory-management solutions and performance optimizations for GPU platforms.
• Contribute to embedded software development supporting GPU functionality and platform integration.

Requirements:

• Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
• 8+ years "hands on" experience developing low level device drivers, especially for the Linux OS
• Strong software engineering skills combined with a drive to solve hard problems
• Strong programming skills in C and C++
• Detailed knowledge of operating system internals and various device driver models
• Low-level operating system knowledge
• Strong English written and oral communication skills to collaborate with other engineers (worldwide)
• A self motivated, passionate and eager teammate with a strong desire to learn, grow and create
• The candidate is expected to work independently with minimal direction
• Windows experience is a plus

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The engineer will enable tailored test equipment and software for the Advantest PS5000 and the Teradyne UltraFLEXPlus (UF+) platforms, while working closely with the product TE team and being embedded in the FA team.

Responsibilities:

• Port and develop test vectors, patterns, and software on the Advantest V93000 system, specifically the PS5000 module, as well as Teradyne UltraFLEXplus platforms.
• Convert design simulation data into functional, scan, and structural test patterns to recreate IC failures on the tester.
• Partner with FA engineers, design teams, and test floor technicians to translate physical FA steps into reproducible, electrical test flows.
• Improve turnaround time from device failure to root cause by optimizing tester hardware bandwidth, signal integrity, and diagnostic software flows.
• Design, prototype, and validate custom test hardware for FA setups.

Requirements:

• B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
• 5+ years of hands-on experience with Advantest V93000 (PS5000) and Teradyne UltraFLEXplus platforms.
• Proficiency with script automation (Python, C++, or Perl) and digital vector processing/debug.
• Familiarity with IC FA flows, failure isolation, electrical fault localization, and yield analysis.

Benefits:

• Highly competitive salaries
• Comprehensive benefits package
• Equity eligibility

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Responsibilities include:

• Solving complex testing challenges and developing new methodologies for reliable testing of chips at SLT
• Characterizing, enhancing yield, and validating specs
• Collaborating with other engineering groups to coordinate efforts and resolve silicon issues
• Initiating and driving process improvements and preventative actions through root cause analysis
• Continuously improving workflows, products, functions, and methodologies while working multi-functionally to achieve company goals

Requirements:

• BSEE or MSEE degree (or equivalent experience)
• 5+ years of relevant product engineering work experience or similar hardware systems background
• Strong technical, interpersonal, written, and oral communication skills
• Problem-solving experience and ability
• Ability to quickly become a strong contributor as an individual and team member
• HBM/GDDR Memory experience is a plus
• Software skills in large-scale data analysis such as Python
• Experience with PC architecture, PCIe busses, and DRAM/DDR is a plus

Benefits include equity and other perks.

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In this role, you will manage weekly, monthly, and quarterly supply plans with business leaders, providing mentorship on supply and inventory positions.

Key responsibilities include:

• Analysing planning strategies and priority trade-offs to optimise supply and meet customer demand and revenue targets
• Presenting weekly supply changes to executive management
• Developing, mentoring, and leading a team of high-performing supply chain planners responsible for wafer/die supply
• Collaborating with foundry partners to drive closure of near-term wafer supply shortages and forecasting longer-term capacity requirements
• Overseeing cross-functional alignment with backend planning, capacity planning, and engineering teams
• Guiding continuous improvement efforts and projects in support of organisational strategies

Requirements:

• BA/BS degree in Business, Engineering, or equivalent experience
• 8+ years of experience in supply chain/operations, preferably with a background in semiconductors or wafer/chip planning
• At least 4+ years of experience in a leadership role
• Proficiency in Excel, SAP, advanced planning software/ERP, and other business software applications
• Demonstrated agility and flexibility in a fast-paced, constraint production environment
• Strong collaboration and interpersonal skills, with the ability to communicate with senior executive staff

Preferred qualifications:

• Experience managing global manufacturing with foundry suppliers and partner teams around the world
• Proven problem-solving, analytical, and complex modelling skills
• Excellent organisational skills, with the ability to manage multiple assignments and people concurrently
• Ability to find creative, out-of-the-box solutions and approaches to complex problems

NVIDIA offers competitive salaries and a generous benefits package.

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The Director will set the technical vision and architecture for NVIDIA's next-generation autonomous driving stack, spanning both classical and learning-based approaches. They will build and lead a team, define how classical safety-critical autonomy and learned driving systems work together, and drive the architecture for robust system-level safety.

Key responsibilities include:

• Setting the technical vision and architecture for NVIDIA's next-generation autonomous driving stack
• Building and leading a high-performing organization of engineers and technical leaders
• Defining how classical safety-critical autonomy and learned driving systems work together
• Driving the architecture for robust system-level safety, redundancy, fallback, and degraded-mode strategies
• Leading the development and productionization of end-to-end, data-driven autonomous driving pipelines
• Advancing large-scale vision-language-action (VLA) / driving foundation models and their integration into production autonomous vehicles
• Partnering closely with research teams to translate breakthroughs in robotics, embodied AI, foundation models, and generative AI into production self-driving technology

The ideal candidate will have:

• PhD with 12+ years, MS with 10+ years, or BS (or equivalent experience) with 15+ overall years of relevant industry experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related technical field
• 8+ years of experience leading a team
• Significant technical leadership experience, including leading senior engineers, architects, and/or engineering managers working on sophisticated production systems
• Extensive knowledge of traditional driverless vehicle system designs and modern learning-based autonomy
• Experience driving end-to-end self-driving system builds and understanding interactions involving perception, planning, and control
• Demonstrated ability to attract, recruit, mentor, and grow exceptional engineering talent

Preferred qualifications include experience building hybrid AV architectures, VLA frameworks, and large-scale multimodal systems.

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Key Responsibilities:

• Plan, coordinate, and track manufacturing progress to meet program goals.
• Collaborate with Engineering and Diagnostics teams on product firmware and test diagnostics upgrades.
• Manage customer qualifications for significant product changes.
• Develop and implement an NPI handover strategy for new designs.
• Drive alignment and updates with the factory network.
• Ensure continuous alignment between the factory and key collaborators.
• Lead teams to minimize production risks and resolve issues.
• Drive systemic process improvements and risk mitigation strategies.
• Coordinate supply chain and manufacturing plans for revenue products.
• Maintain project budgets and track procurement.

Requirements:

• BS degree in Electrical or Mechanical Engineering.
• 8+ years of experience in program management/production in the server industry.
• Leadership and influencing skills.
• Excellent communication skills.
• Prior experience in technical program management within the server domain.
• Problem-solving skills and ability to thrive in a fast-paced environment.

Preferred Qualifications:

• Project Management Professional Certification.
• Technical depth in hardware and software development.
• Knowledge of factory production techniques and test strategies.
• Experience delivering complex products to cloud-based customers.

You will also be eligible for equity and benefits.

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Key Responsibilities:

• Collaborate with automotive NPI teams to meet customer and internal quality requirements.
• Coordinate with cross-functional teams to align plans, methodologies, and requirements for chip failure analysis.
• Lead failure analysis activities, including data analysis, chip-level testing, and system-level testing.
• Generate failure analysis reports and verify corrective actions' effectiveness.
• Analyze failure trends and recommend improvements.
• Work with customer-facing teams to understand quality expectations and report metrics.
• Share lessons learned from field quality issues and provide early input via DFMEA.

Requirements:

• 8+ years of experience in Product/Test/Application/Quality Engineering.
• BS/MS Degree in Electrical or Computer Engineering.
• Hands-on experience in chip-level failure analysis and debug.
• Expertise with Advantest V93000 Tester and test equipment bring-up.
• Familiarity with system-level testing and digital design principles.
• Strong problem-solving, collaboration, and communication skills.

Nice to Have:

• Experience with automotive products and standards.
• Knowledge of GPU/CPU product infrastructure and test methodology.
• Strong technical/debug skills in data analysis and test program troubleshooting.

NVIDIA offers highly competitive salaries, equity, and a comprehensive benefits package.

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Responsibilities:

• Participate in conference calls and face-to-face meetings related to quality on a weekly or monthly basis
• Track key quality metrics and report regularly to the quality engineering team and internal management
• Use statistical methods to analyze quality and reliability data, identify trends, and develop projections for risk assessment and corrective actions
• In crisis or critical issue situations, quickly assimilate technical details to understand the critical elements of the issue and provide direction to working engineering teams
• Craft customer presentations covering statuses of root cause, risk assessments, corrective actions, preventative actions, and recovery plans for complaints
• Write and review 8D reports for customer consumption
• Serve as an issue manager for critical incidents, coordinating across multiple engineering teams to drive timely resolution and ensure operational continuity
• Continuously drive problem resolution internally by providing leadership and direction
• Identify opportunities to accelerate PQM workflows with AI and guide the integration of AI-enabled tools into quality management processes

Requirements:

• BS or MS degree from a leading university in electrical engineering, quality, or a related technical field (or equivalent experience)
• 8+ years of demonstrated experience in electronics customer quality role
• Customer interface experience is critical
• Quickly comprehend technical details relevant to understanding customer complaints
• Excellent proficiency with 8D problem-solving tools/methods
• Excellent written and oral communication skills
• Strong social skills, with a logical approach to problem-solving, good time management, and task prioritization
• Strong organizational and program management skills with experience coordinating across multiple engineering and business teams
• Proficient using MS Office software tools, data analytical tools, and email communications

Preferred Qualifications:

• Background in semiconductor manufacturing processes such as Si fab, Package assembly, and Final test
• Knowledge of SMT and PCBA manufacturing practices and controls
• Background in electronics reliability standards at the component, board, or system level
• Knowledge of server system hardware and design, development, architecture, failure analysis, or testing
• Close working relationships with customer quality teams and using structured problem-solving to find solutions to their issues

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

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As part of the Operations Product Development Engineering GPU Team, you will work on productizing NVIDIA’s chips into consumer, professional and datacenter markets.

What You’ll Be Doing:

• As an integral part of product engineering, you will drive our latest architecture designs to market.
• Implement CP (chip probing) test processes to improve manufacturing efficiency for our latest GPUs, built in leading-edge process technology.
• Identify and resolve yield bottlenecks, analyze and drive test failures, wafer & package level failures on Automatic Test Equipment (ATE).
• Propose DOEs and come up with solutions to complex characterization problems.
• Cross functionally lead efforts with design, foundry, DFT, test, Planning and quality to root-cause and solve technical problems.
• Have the opportunity to influence future ASIC designs to improve test coverage and enable better product yield, test time, silicon bring-up and releases.

What We Need To See:

• Master's degree in Electrical Engineering or equivalent experience.
• 2+ years of product development engineering or relevant experience.
• Attention to details, strong problem solving skills, data driven decisions, critical thinking & solution focused.
• Experience with digital design, circuit analysis, characterization and qualification.
• Knowledgeable in ATE test flows, DFT and device physics.
• Proficient in statistical data analysis using JMP software or other tools.
• Strong interpersonal communication skills and cross-functional collaboration.
• Ability to define and drive problems to closure independently with minimal supervision.

Ways To Stand Out From The Crowd:

• Hands-on experience with Advantest 93K tester with SMT7 or SMT8 OS.
• Experience with logic or SRAM and Voltage/Frequency characterization.
• With DFT (design for test) background and be familiar with ATE test principles.
• Examples of creative solutions to silicon or package problems.
• Familiarity with scripting/programming knowledge (Python or Perl).

With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!

You will also be eligible for equity and benefits.

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Job Summary: As a senior engineer, you will develop and improve processes and systems to achieve high inventory accuracy targets while reducing financial adjustments across the service and repair supply chain. You will create and implement control standards, policies, and processes across Service Supply Chain manufacturing sites and outsourced partners.

Key Responsibilities:

• Develop and improve processes and systems for inventory accuracy and control
• Create and implement control standards, policies, and processes across manufacturing sites and partners
• Establish cycle count, physical inventory, and scrap policies with execution standards and compliance
• Build operating rhythms with outsourced partners to maintain inventory accuracy and reduce risks
• Analyze inventory trends and implement corrective actions for improvements
• Improve inventory controls, segregation of duties, and automation
• Serve as the senior point of contact for resolving critical inventory discrepancies
• Develop dashboards, benchmarks, reports, and training materials for better decision-making
• Drive performance improvement with data-backed recommendations

Requirements:

• 12+ years of experience in inventory management, supply chain operations, or related fields
• Bachelor's degree or equivalent experience
• Proven experience in running cycle count programs, physical inventory policy, and inventory governance
• Expertise in warehouse controls and ERP/WMS systems like SAP, Oracle, or NetSuite
• Strong analytical skills and experience with large datasets
• Knowledge of inventory accounting, controls, and audit requirements
• Ability to lead cross-functional initiatives and communicate effectively

Preferred Qualifications:

• Background in finance, accounting, or FP&A
• Experience with Lean, Six Sigma, or operational excellence
• Advanced skills in Excel, SQL, Power BI, or similar analytics tools
• Relevant certifications like APICS/ASCM, CPIM, or CSCP
• Experience supporting global or multi-site inventory operations

NVIDIA offers competitive compensation, comprehensive benefits, and the opportunity to contribute to building a growing manufacturing presence in Texas.

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