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What you will be doing:
Drive strategic CSP partnerships, collaborate with keyhyperscaleCSPs to align project schedules, priorities, and technical roadmaps for next-generation data center platforms.
Manage complex technical collaborations proactively, identifying and resolving critical issues before they impact customer deployments.
Orchestrate internal stakeholder alignment ensuring CSP priorities are reflected across NVIDIA's engineering, product, and business.
Create comprehensive customer program visibility through executive dashboards, status reports, and metrics tracking that provide real-time insights into CSP project health, risks, and milestone achievement.
Lead large-scale deployment programs managing multi-rack, hyperscale infrastructure rollouts with complex technical dependencies, timeline coordination, and resource alignment across multiple internal teams.
What we need to see:
Technical Expertise: Solid understanding of system software design, OS fundamentals, Linux kernel development, and hardware/software interfaces. Experience in GPU-based data center server architectures.
Program Management: Proven ability to lead software development for rack-scale systems and data center servers, including complex hardware/software integration projects.
Industry Collaboration: Experience partnering with hyperscalers to drive technical outcomes, manage dependencies, handle escalations, and communicate effectively at the executive level.
Communication & Leadership: Exceptional ability to translate technical concepts for business stakeholders and align diverse teams toward common goals.
BS or MS in Computer Engineering, Computer Science, or related field or equivalent experience.
8+ years of technical program management experience in HPC or data center server software development.
Ways to stand out from the crowd:
Prior hands-on technology development experience in out-of-band manageability and observability solutions, system software/Linux kernel driver development, CUDA programming, or LLM/AI framework development.
You will also be eligible for equity and .
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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
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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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The Impact You’ll Make in this Role
As a
Lead Design Operations Project Manager , you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
Additional qualifications that could help you succeed even further in this role include:
Work location:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
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What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Proven success growing developer ecosystems through technical enablement.
You will also be eligible for equity and .
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What you’ll be doing:
Lead communications strategy and execution for quantum computing, computer-aided engineering (CAE), simulation and modeling technologies
Collaborate with business leaders, marketing leads and industry partners to develop and tell compelling stories
Develop key messages that resonate with external audiences
Pitch and manage stories with reporters to secure impactful press coverage
Nurture strong long-term relations with general and technology media
What we need to see:
8+ years of PR/comms experience at leading tech companies/agencies and a bachelor’s degree or equivalent experience
Experience leading media relations strategy and execution in a high-stakes environment
Outstanding communication skills, including professional writing abilities and verbal communication
Ability to uplevel technical messages into compelling narratives that are understandable to audiences of all types
Demonstrate an eagerness to go above and beyond, seek out challenges, and anticipate needs before they arise
Able to think outside of launches and announcements to keep PR momentum going through proactive opportunities
Highly detail-oriented with outstanding project-management skills
Proven ability to generate great media coverage for technology
Creative, collaborative, and organized, with a knack for balancing multiple projects
Ways to stand out from the crowd:
PR experience in AI, enterprise, quantum computing or CAE
Voracious appetite for AI, enterprise, quantum computing and CAE news
Strong relationships with technology reporters in the data center, quantum computing and CAE space
You will also be eligible for equity and .
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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$145,300—$217,900 USDThese jobs might be a good fit

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What you will be doing:
Drive strategic CSP partnerships, collaborate with keyhyperscaleCSPs to align project schedules, priorities, and technical roadmaps for next-generation data center platforms.
Manage complex technical collaborations proactively, identifying and resolving critical issues before they impact customer deployments.
Orchestrate internal stakeholder alignment ensuring CSP priorities are reflected across NVIDIA's engineering, product, and business.
Create comprehensive customer program visibility through executive dashboards, status reports, and metrics tracking that provide real-time insights into CSP project health, risks, and milestone achievement.
Lead large-scale deployment programs managing multi-rack, hyperscale infrastructure rollouts with complex technical dependencies, timeline coordination, and resource alignment across multiple internal teams.
What we need to see:
Technical Expertise: Solid understanding of system software design, OS fundamentals, Linux kernel development, and hardware/software interfaces. Experience in GPU-based data center server architectures.
Program Management: Proven ability to lead software development for rack-scale systems and data center servers, including complex hardware/software integration projects.
Industry Collaboration: Experience partnering with hyperscalers to drive technical outcomes, manage dependencies, handle escalations, and communicate effectively at the executive level.
Communication & Leadership: Exceptional ability to translate technical concepts for business stakeholders and align diverse teams toward common goals.
BS or MS in Computer Engineering, Computer Science, or related field or equivalent experience.
8+ years of technical program management experience in HPC or data center server software development.
Ways to stand out from the crowd:
Prior hands-on technology development experience in out-of-band manageability and observability solutions, system software/Linux kernel driver development, CUDA programming, or LLM/AI framework development.
You will also be eligible for equity and .
These jobs might be a good fit