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What you’ll be doing:
Lead financial planning and analysis for the global Hardware Engineering organization, driving forecasting, budgeting, and investment optimization.
Oversee engineering inventory management, including forecasting, reserve analysis, and excess material reviews.
Manage global engineering lab investments by planning equipment purchases based on company roadmaps and partnering closely with engineering leaders to ensure alignment with development priorities.
Develop and maintain dynamic financial reporting frameworks covering budget, forecast, and variance analytics that improve visibility and decision-making.
Leverage Artificial Intelligence and automation tools (such as Claude, Perplexity, Copilot, Databricks, Alteryx, and Power BI) to build scalable data models, dashboards, and analytical reports that generate actionable business insights.
Drive process improvements that enhance accuracy, efficiency, and transparency across engineering finance operations.
What we need to see:
Bachelor’s degree in Finance, Data Science, Engineering, or a related field (or equivalent experience); MBA or advanced degree preferred.
5+ years of experience in financial planning and analysis, preferably within a global high-tech or manufacturing organization.
Proven expertise in data analytics and financial modeling, including proficiency in tools and programming languages such as Python, SQL, or similar.
Strong understanding of accounting principles and experience with financial ERP systems (SAP experience a plus).
Exceptional analytical, problem-solving, and business partnership skills with the ability to translate complex data into clear, actionable insights.
Ways to stand out from the crowd:
Semiconductor and/or manufacturing experience in tech.
Genuine curiosity in STEM and eagerness to learn new things.
Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.
You will also be eligible for equity and .
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What you’ll be doing:
Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs.
We work on next-generation GPU hardware and software features through all phases of development, and you will get an opportunity to work across user and kernel stacks.
Also work on customer issues and provide timely root cause of the problem and resolution.
Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.
What we need to see:
BS degree or higher or equivalent experience (computer science or related).
12+ years of industry experience.
In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware.
Proficient in C/C++ with strong software development, optimization and analytical skills.
Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software.
Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team.
Ways to stand out from the crowd:
Understanding of Virtualization concepts and system software for ESX, Hyper-V or KVM.
Knowledge of DX/OGL graphics technologies, WDDM model.
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).
You will also be eligible for equity and .
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What you will be doing:
Lead design and development of cutting-edge end-to-end reference system stack for 5G/6G baseband system.
Developing and integrating modules like PDCP, RLC, MAC for 5G/6G air interface and L3 control plane.
Work in lab environment to trouble-shoot and integrate complex software modules!
Develop software, implementing new functions in C/C++/Python/CUDA in a multi-core environment.
Support system integration, performance testing, system demonstration and lab trials for end-to-end system.
Engage with customer field trials and technical teams.
Be a technical bridge between engineering team and partners/customers engineering team!
Help in implementing missing features to unblock progress at customers/partners.
What we need to see:
8+ years of LTE/5G network system experience focused on Radio Access Network.
Bachelor’s or Master degree in electrical or computer science or related field (or equivalent experience).
We are seeking candidates with end to end RAN integration knowledge.
Experience in building RAN products like baseband system (eNB or gNB).
Experience with cloud RAN, software defined networking, 5G macro and small cell deployments.
Familiar with NFV, software virtualization, VM, containers and VNF’s.
We seek experience in integrating with 5G NG and EPC cores.
Experience in integrating with PHY layer.
Direct experience in development, integration and testing of BBU functions like PHY, MAC, Scheduler, RLC, PDCP and RRC.
Proficient in developing code using C/C++ on Linux based platform.
You will also be eligible for equity and .
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What you'll be doing:
Enhance and maintain current-generation infrastructure and tools, addressing the needs of our customers for better platform capabilities, performance, and stability.
Support partners in the development and deployment of their streaming experiences.
Deploy various services and oversee their reliability and security.
Write effective, clear and reliable architecture requirements and design specifications.
Work closely and simultaneously with multiple NVIDIA expert teams around the world.
What we need to see:
B.Sc./M.Sc. degree in Computer Science, Computer Engineering (or equivalent experience).
10+ years experience as a Full-Stack Software Developer.
Broad knowledge and understanding of networking protocols and common network topologies, with a deep understanding of Cloud-based audio and video streaming.
Hands-on cloud virtualization, networking, and orchestration experience.
A combination of React, Javascript, Typescript, C/C++, Python or Go programming skills.
Willingness to be full-stack across both frontend and backend is a must.
Ability to understand customer needs and translate them into functional and user experience enhancements.
Hands-on Linux development experience.
Strong design, coding, analytical, debugging, and problem-solving skills.
Excellent communication, documentation, and presentation skills.
Ways to stand out from a crowd:
Background with data center technologies, network topologies and Cloud.
Experience with Docker, Containers, Kubernetes components & subsystems.
Experience with Proton and other virtualization technologies.
Good understanding of operating systems and drivers.
Experience developing and deploying deep-learning models: LLMs, text-to-speech, and more.
You will also be eligible for equity and .
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What you’ll be doing:
Design, build, and run cloud infrastructure services in scope to meet our business goals performing integrations, migrations, bringups, updates, and decommissions as necessary.
Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.
Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.
Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation.
Consult with and provide consultation for peer teams on systems design best practices.
Participate in a supportive culture of values-driven introspection, communication, and self-organization
What we need to see:
Proficiency in one or more of the following programming languages: Python or Go
BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.
5+ years of relevant experience in infrastructure and fleet management engineering.
Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems at scales requiring fully automated management and under active customer consumption in production.
A track record demonstrating a mix of initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.
In-depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, Local and Distributed Storage, and Systems Networking.
Ways to stand out from the crowd:
Demonstrating a systematic problem-solving approach, coupled with clear communication skills and a willingness to take ownership and get results such as experience driving a build / reuse / buy decision.
Experience working with or developing bare metal as a service (BMaaS) associated systems. For example, vending BMaaS, or Slurm running on containers, or vending Kubernetes clusters. Experience working with or developing multi-cloud infrastructure services. Experience teaching reliability engineering (e.g. SRE) and/or other scale-oriented cloud systems practices to peers and/or other companies (e.g. CRE). Experience in running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm.
Experience with accelerated compute and communications technologies such BlueField Networking, Infiniband topologies, NVMesh, and/or the NVIDIA Collective Communication Library (NCCL).
Experience working with a centralized security organization to prioritize and mitigate security risks. Prior experience in a ML/AI focused role or on a team matching specific keywords is welcome but not required.
You will also be eligible for equity and .
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What you’ll be doing:
Own Initial Power-On and Board Bring-Up: Lead the initial power-on and functional validation of compute trays (CPU, GPU, NIC, storage including NVMe, cooling, etc.) internally and with customers. Ensure all functional requirements are met.
Form and lead a virtual team across NVIDIA software & firmware teams to ensure subject matter experts are available as needed throughout bringup. Regular reporting on status of bringup to provide visibility and ensure teams across the company are fully activated to help.
Oversee flashing, updating, and validation of firmware for all server components as per defined architecture. Ensure appropriate validation done for boundary, stress, and regression testing, and confirm telemetry, logging, and hardware management features working as per requirements. Document pain points, bring up failures, recovery flows, and provide actionable feedback to hardware, firmware, and software teams. Ensure usability, firmware/BIOS update coverage, and error reporting for reliable customer installation and operation
Factory & Manufacturing Support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and process optimization.
Debug, Issue Resolution & Customer Support: Lead root cause analysis and resolution of bring-up failures. Collaborate with partners, ODMs, and customers for technical support.
Documentation & Knowledge Transfer: Own and maintain platform design guides, bring-up checklists, and install instructions. Provide training and enablement for internal and external teams.
Product Ownership: Drive product life cycles with QA teams, ensuring robust bring up, productization, and delivery.
Performance Management: Conduct performance evaluations, develop a culture of excellence, and ensure high productivity.
What we need to see:
5+ years of relevant experience managing systems/platform software teams, ideally in server bring up, firmware development, or data center solutions.bDeep experience operating successfully in a matrix environment, forming and leading high impact virtual teams spanning multiple disciplines.
BS, MS, or PhD in EE/CS or related field (or equivalent experience) with 12+ overall years of experience. Strong knowledge of compute tray designs, firmware enablement, and system-level architecture.
Proven track record of delivering scalable server products and solutions for large scale data centers. Experience collaborating with hardware, firmware, manufacturing, diags and QA teams
Experience with SCM (Git, Perforce) and project management tools (Jira).
Excellent written and oral communication skills, strong work ethic, and dedication to teamwork.
Hands-on experience with x86/ARM system architecture and coding (C/C++, Python).
You are a self-starter who loves to find creative solutions to complicated problems.
Proven excellence in server architecture, collaborating across teams for delivering server products as per defined Key Performance Indicators (KPIs).
Ways to stand out from the crowd:
Experience leading bring-up for sophisticated compute architectures like GB200 NVL72.
You will also be eligible for equity and .
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What you’ll be doing:
100% kernel coding role
Own end-to-end design and development, challenging existing paradigms and exploring innovative approaches for RDMA and high-speed TCP-based networks.
Collaborate closely with cross-functional teams to define and implement robust networking algorithms, data management strategies, and distributed systems principles.
Contribute to architecture, integration, and alignment with both on-prem and cloud-native platforms.
Optimize system performance and reliability through in-depth analysis and low-level tuning.
Stay up to date with the latest industry trends and contribute to open-source projects.
What we need to see:
B.S. or M.S. degree in Computer Science or Electrical Engineering (or equivalent experience).
12+ years experience in development
Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and networking systems, advantage for cloud environments.
Strong proficiency in C/C++ programming. Experienced with Linux Kernel internals including block subsystem, IO stack, memory management, and scheduling.
Familiarity with storage protocols and standards, especially NVMe.
Knowledge of networking fundamentals and experience in Linux-based networking environments.
Familiarity with RDMA technologies, including Infiniband, RoCE, or iWARP, and experience with RDMA programming models, control and data paths.
Knowledge of cloud computing concepts, including virtualization, scalability, and data management.
Ways To Stand Out From The Crowd:
Excellent communication skills and a collaborative mindset.
Perseverance and determination in debugging complex problems.
You will also be eligible for equity and .
These jobs might be a good fit

Share
What you’ll be doing:
Lead financial planning and analysis for the global Hardware Engineering organization, driving forecasting, budgeting, and investment optimization.
Oversee engineering inventory management, including forecasting, reserve analysis, and excess material reviews.
Manage global engineering lab investments by planning equipment purchases based on company roadmaps and partnering closely with engineering leaders to ensure alignment with development priorities.
Develop and maintain dynamic financial reporting frameworks covering budget, forecast, and variance analytics that improve visibility and decision-making.
Leverage Artificial Intelligence and automation tools (such as Claude, Perplexity, Copilot, Databricks, Alteryx, and Power BI) to build scalable data models, dashboards, and analytical reports that generate actionable business insights.
Drive process improvements that enhance accuracy, efficiency, and transparency across engineering finance operations.
What we need to see:
Bachelor’s degree in Finance, Data Science, Engineering, or a related field (or equivalent experience); MBA or advanced degree preferred.
5+ years of experience in financial planning and analysis, preferably within a global high-tech or manufacturing organization.
Proven expertise in data analytics and financial modeling, including proficiency in tools and programming languages such as Python, SQL, or similar.
Strong understanding of accounting principles and experience with financial ERP systems (SAP experience a plus).
Exceptional analytical, problem-solving, and business partnership skills with the ability to translate complex data into clear, actionable insights.
Ways to stand out from the crowd:
Semiconductor and/or manufacturing experience in tech.
Genuine curiosity in STEM and eagerness to learn new things.
Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.
You will also be eligible for equity and .
These jobs might be a good fit