NVIDIA

Manager

• Own the vision and execution for large-scale development projects, from site selection and due diligence through design, entitlement, and construction.
• Direct the full development process from site and land activities through entitlements, approvals, and preparation for delivery, converting NVIDIA goals into a well-defined action plan.
• Serve as primary contact working with government bodies, municipalities, agencies, and utilities, crafting submissions, negotiations, and approval strategies.
• Drive regulatory and entitlement pathways, ensuring realistic schedules, risk mitigation, and defensible documentation.
• Balance Authorities Having Jurisdiction (AHJ) requirements, NVIDIA business priorities, and project constraints to resolve conflicts and guide decision-making.
• Provide clear tradeoff recommendations and decision materials for executive leadership.
• Coordinate with architects, engineers, and external PM/CM partners to maintain alignment with development intent.
• Establish and lead program governance, including status tracking, risk management, and collaborator coordination.
• Deliver executive-ready reporting on progress, risks, dependencies, and recommended actions.
• Maintain disciplined documentation across approvals, collaborator commitments, and key decisions.

Senior Real Estate Development Manager

Full-stack Engineer

• Lead technical discussion with Arch and customers
• POC for new initiatives
• Lead complex programs within and beyond the group
• Collaborate closely with various design and verification teams, architects, and product marketing professionals

Senior Software Engineer, Tech Lead – SONiC Network OS

• Working with NVIDIA top customers RnD, getting familiar with their applications and needs.
• Building cutting edge POC prototypes which later to be productize and delivered.
• Closely work with various development and architecture teams and take major part of SW development.

Senior Software Engineer – RDMA, Doca

• Working with NVIDIA top customers RnD, getting familiar with their applications and needs with NVIDIA Product.
• Building cutting edge POC prototypes which later to be productize and delivered.
• Closely work with NVIDIA various development and architecture teams and take major part of SW development.

Senior Software Engineer – Networking and Virtualization

• Designing and developing low-level system software with a primary focus on bootloaders (ATF, UEFI), firmware, and hardware initialization
• Working together with hardware and design teams to drive SoC bring-up and platform enablement
• Solving complex challenges related to boot sequences, system optimization, and hardware resource management
• Supporting various internal and customer DPU projects alongside our global teams
• Taking part in all stages of the product lifecycle, with a focus on high software quality and stability
• Collaborating within a global software environment to have a broad impact across the company

Software Engineer, Soc DPU Platform

Engineer

• Build automated verification environment for high-end hardware and software which is at the forefront of innovation
• Develop and maintain test automation frameworks and scripts using Python
• Identify, analyze, and report software defects, inconsistencies, and other quality issues
• Make better product quality by improving tests coverage
• Take an active part in development, integration and verification with R&D
• Drive improvements for performance, quality, stability around SW acceleration solutions
• Stay up to date with industry best practices, new technologies, and emerging trends in software verification

Senior Software Verification Engineer

• Be an effective leader in crafting and driving a delivery of high quality SW
• Collaborate with Engineering, Operations, Architecture and Marketing across the globe
• Manage multiple parallel releases with strong attention to detail
• Support Senior Release Managers with release activities

Release Manager

• Design, implement and maintain system software that enables communication between GPUs
• Participate in the architectural definition and design of next-generation communication hardware and software to support large scale computing platforms
• Work with cross-disciplinary teams to understand business requirements and align software direction to meet those needs
• You will also be eligible for equity and benefits
• Applications for this job will be accepted at least until August 20, 2025
• NVIDIA is looking for phenomenal people like you to help accelerate the next wave of artificial intelligence

Senior Software Engineer, Fabric Networking – GPU

Software Engineer

• Define and drive the product vision, strategy, and roadmap for source control systems supporting large-scale chip and software development ensuring performance, reliability and scalability
• Partner closely with internal engineering teams to integrate source control seamlessly into day to day development and optimize developer workflows
• Own the evolution of repository architecture, access controls, and the structuring of code to support complex programs and distributed teams
• Lead cross-functional alignment across internal teams to ensure cohesive and scalable source control solutions across the development ecosystem
• Establish metrics and indicators and use data to inform prioritization and measure impact
• Drive long-term investments in scalability and reliability to support growing codebases, increasing team sizes, and next-generation silicon and software programs
• Champion guidelines in maintaining code integrity, review standards, and versioning strategies to enable efficient collaboration and reduce integration risk ahead of tapeout

Senior Product Manager, Developer Infrastructure

Developer Relations

• Act as a trusted technical advisor at scale for academic and research communities, driving researcher enablement and democratizing access to AI education across universities through 1:few and 1:many engagement models.
• Identify and accelerate high-impact research workloads by delivering scalable, repeatable solutions that integrate NVIDIA’s core software stack into widely adopted academic pipelines and institutional platforms.
• Develop and scale technical enablement resources, such as curricula, guides, and reference pipelines, to support researcher productivity and democratize AI and HPC education across disciplines including materials science, computational chemistry, climate science, biosciences, and quantum computing.
• Nurture and grow the EdTech ISV ecosystem and drive product adoption with top ISVs.
• Map and continuously assess the academic and research ecosystem to identify growth opportunities, expand institutional adoption, and inform long-term education and technology strategies.
• Collaborate cross-functionally with solution architects, engineering, product, and marketing teams to drive researcher enablement programs and university engagement initiatives.
• Design and lead workshops, curriculum integrations, and hands-on training programs to deepen technical proficiency and broaden access to NVIDIA technologies across universities.
• Represent the needs of researchers, educators, and students internally by translating academic feedback into actionable insights that shape product development, education programs, and platform roadmaps.

Developer Relations Manager, Higher Education and Research

• As a member of the team, you will play a critical part in every stage of development of a GPU
• Thrive at the interface between software drivers and the GPU simulation
• You will become the specialist for running SW applications directly on simulated GPUs in diverse environments
• Capture instrumentation requirements from GPU architects who research next-gen improvements
• You will coordinate with GPU architects to enable functional and performance testing for the next architecture
• Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market.
• In this role, you will improve the daily workflows of leading chip modelers and designers around the globe to help produce the next greatest generation of GPUs.

System Software Engineer, GPU Development Tools

• Develop new approaches and implement improvements to existing algorithms for sensor calibration for ADAS using both classical and deep learning methods.
• Work with large amounts of real and synthetic data to evaluate and improve the algorithmic and computational performance of sensor calibration.
• Develop and optimize software architecture and frameworks for real-world performance towards internal and external customer requirements.
• Work with a variety of sensor modalities: camera, LIDAR, radar, IMU, GPS, odometry, etc.
• Develop unit tests, documentation for features, evaluate quality and propose improvements and corrective actions.
• Develop highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
• Develop production code to strict quality and safety standards such as MISRA and AUTOSAR.
• Develop and maintain fleet monitoring tools supporting calibration of a large vehicle fleet.
• Perform in-vehicle tests and troubleshooting, mining/analyzing data and completing drive missions.
• Adopt and improve calibration algorithms on existing and new vehicle variants.

System Software Engineer, Calibration – Autonomous Vehicles

Payroll

• Member of the Global Payroll team and assistant of 23 European payrolls including but not exhaustive:
• Manage and support the day-to-day payroll compliance requirements, including accurate, complete and timely processing of payroll, including all remittances and filings with the appropriate tax authorities and payments to employees.
• Gathering information such as pension insurance, health insurance – registering with the required agencies, providing documents for employees to sign and discuss.
• Conducting Payroll inductions including detailing explanation for international new starters/transfers.
• Maintain payroll files and records.
• Coordination with third parties, such as auditors, tax authorities and payroll suppliers.
• Partner with all key stakeholders to ensure the responsibilities and objectives of the payroll department are successfully met, including HR, the Company’s external payroll service providers, and the Company’s banking partners.
• Specifically, to ensure the accurate, complete, and timely execution of payroll processing, including, coordinating and securing payroll data inputs, validating all related data, and ensuring timely payment/credit to the bank accounts of employees.
• Partner with Finance teams in India to create and post month end journals, flux reporting, month end balance sheet reconciliation analysis and all payroll accounting.
• Provide day-to-day assistance to employee inquiries and provide education and support, as needed.

Payroll Specialist – Finance

• The specification, implementation, and maintenance of an integrated end-to-end formal verification flow for the formal verification team.
• Developing scripts to automate the verification process.
• Review formal setups and proofs with design and verification teams.
• Maintain and extend assertion libraries, including support for both simulation and FV.
• Identifying key behaviours for verification of DUT and creating a verification plan.
• Developing verification environment including environment assumptions, assertions and cover properties in context of the verification plan.
• Applying various FV techniques to prove correctness of digital designs.
• Debugging RTL to identify causes of failure scenarios.

Formal Verification Engineer

• Lead packaging mechanical structure design during product development, ensuring reliability, performance, and material optimization.
• Resolve design, validation, and production issues; identify yield improvement opportunities and establish quality standards.
• Drive Taiwan-based packaging vendors and contract manufacturers to meet corporate standards; review manufacturability readiness at key milestones.
• Provide on-site packaging consultation and technical support to contract manufacturers.
• Enable packaging process automation across vendors and manufacturing partners.
• Ensure total packaging solutions meet objectives across protection, aesthetics, user experience, sustainability, cost, quality, and schedule.
• Monitor and drive Packaging Development Engineering KPIs to ensure program execution excellence.
• Collaborate cross-functionally to enhance packaging standards; manage PLM release, technical change reviews, second-source expansion, and EOL replacement qualification.