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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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What you'll be doing:
Define the strategy and execution plans for successfully integrating complex AI model tech stacks in customer environments, fromevaluation/proof-of-concepttodesign/development/qualification/validation,to production launch
Execute the plan you craft by: scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of certain customer-required features, driving resolution of any blocking issues, and ensuring timely customer acceptance and production deployment
Translate customer requirements into specific tasks and assign those tasks to relevant functional areas with ease. Collecting, prioritizing, tracking, and driving customer-reported issues to resolution/closure is a key focus of this role.
Clearly and intelligently communicate issue status to the customer and internal (including executive) teams
Work closely with engineering, product management, and sales teams to resolve technical issues, set correct expectations and keep the scope of the projects on track to successful execution
Effectively organize and lead complex technicalengineering-to-engineeringdiscussions
Correctly represent the urgency of issues and raise them (internally and/or externally) as appropriate
Regularly communicate program status and key issues to management
Develop a close working relationship with customer development teams and use creativity to find solutions to their issues
What we need to see:
BS/MS Engineering or Computer Science (or equivalent experience)
8+ years in a high-tech electronics industry with a focus on program/project management
Experience and therefore deep customer savvy born of running significant and complex software engagement programs, especially with strategic customers with large datacenter deployments
Strong technical savvy, including software qualification and deployment on AI infrastructure in a datacenter OR Cloud
Supreme leadership skills across broad and diverse functional teams
Validated history of 5+ years of project/program management of software product solutions
Strong technical background and experience working with customers in a clouddevelopment/deploymentand/or OEM environment
Experience leading global projects
Ways to stand out from the crowd:
Graphics, and/or cloud datacenterdevelopment/deploymentexperience desirable
Comfortable defining and executing complex program schedules with intimate understanding of dependencies, critical paths, key and critical landmarks, and deliverables
Consistent record of handling multiple customers and customer programs across worldwide geographies and time zones
You will also be eligible for equity and .
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What you'll be doing:
You will be responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select number of enterprise customers.
Be the key point of contact and relationship owner for a defined set of banking customers
Grow NVIDIA presence and platform adoption across data science, line of business, and IT organizations
Build key accounts into strategic partners, and drive sustaining revenue, market share growth and product footprint
Work closely with cloud partners, OEMs, and ISV ecosystem partners to build and implement go-to-market plans to accelerate growth and adoption of the enterprise product family
Building winning capabilities and leading change
Contributing to the long term success of our team by being a collaborative leader amongst your peers. Consistently striving to improve and reinvent yourself.
Evangelize the use of NVIDIA's accelerated computing platform (inclusive of hardware, software, software development toolkits, and application frameworks) to your customers, prospects, and partners
25% travel required
What we need to see:
BA degree or equivalent experience
12+ years’ experience selling solutions to senior executives at named accounts
A passion for getting things done in a sales and technology environment
Demonstrated track record leading significant revenue and overachieving targets to meet stretch goals
Demonstrated ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally
Ways to stand out from the crowd:
Understanding of data science workflows, modern machine learning and AI trends
A strong interest in understanding new technologies and adept at conveying their value to business executives and software development leaders. Strong executive presence, polish, and political savvy
Track record of successfully growing revenue for new innovative technology based solutions
Excellent communication skills and ability to persuade -- using simple communications that convey sophisticated concepts in a compelling, concise, and creative way
Specific experience and relationships within the payments industry. Demonstrated ability to build and lead in a matrix-managed team culture
You will also be eligible for equity and .
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You will work closely with the most innovative edge-AI startups to change, define, and transform the ecosystem. We are looking for an Inception Partner Manager for Robotics and Edge startups to build, drive and accelerate adoption of NVIDIA solutions. As an Inception Partner Manager, you will be responsible for expanding our startup ecosystem influence from recruiting to early adoption to technical adoption and go-to-marketacceleration.
What you’ll be doing:
Engage with leading startups focusing on platform adoption, co-selling opportunities and go-to-market initiatives
Scout, identify, and recruit top automotive and manufacturing startups to join NVIDIA Inception program
Expand the NVIDIA Inception program ecosystem by aligning with leading innovation labs, venture capital firms and industry software vendors (ISVs)
Collaborate with developer relations managers and account managers to develop strategies and resources that provide full support for startups and execute go-to-market activations with cross functional teams
Report on data driven key business metrics to show impact on startup ecosystems
Generating reports on relevant trends and perform market analysis
What we need to see:
BS/MS or equivalent experience
8+ years of relevant work experience such as startup accelerators and incubators, executive or management positions at startups or platform ecosystem development at automotive or manufacturing companies
Strong knowledge of machine learning, simulation and synthetic data generation, self-driving workflows, logistics in a business development, management, or alliances capacity
Strong understanding of the robotics, automotive, retail and manufacturing ecosystems focusing on AI/ML startups.
Experience in relevant technologies, computing, and deep learning application development is a plus
Can-do attitude and high energy with leadership and excellent interpersonal skills and possess ability to learn complex concepts in a fast-paced environment
Ways to stand out from the crowd:
Background in a venture backed startup or exitwith adeep network of connections into AI startups and VCs in robotics and related industries.
Experience working on AI model training/inferencing and other GPU-related technologies
Experience in successfully leading strategic partnerships and a versatile startup ecosystem in automotive or manufacturing
Background with deep learning and/or other AI technologies
Experience solution selling advanced technologies in the automotive industry
You will also be eligible for equity and .
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What you’ll be doing:
Lead Data Center Compute Telemetry & RAS:Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale. Owning OOB telemetry solution and data validation for telemetry from each underlying device.
Build and Mentor a World-Class Team:Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability.
Process Optimization:Continuously improve software development processes for optimal productivity and quality.
Cross-Functional Collaboration:Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management.
Product Ownership:Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery.
Performance Management:Conduct performance reviews, foster a culture of excellence, and ensure high productivity.
What we need to see:
12+ overall years of relevant experience and 5 yrs of managing systems/platform software teams, ideally in server RAS, firmware, telemetry, or data center solutions.
BS, MS, or PhD in EE/CS or related field (or equivalent experience).
Strong knowledge of DMTF/PLDM for OOB telemetry collection, time series databases (e.g., InfluxDB, Prometheus) and REST APIs (Redfish)..
Deep understanding of Server and firmware architecture and optimization for low-latency APIs.
Proven track record of delivering scalable server products and telemetry solutions.
Experience with SCM (Git, Perforce) and project management tools (Jira).
Excellent written and oral communication skills, strong work ethic, and commitment to teamwork.
Hands-on experience with x86/ARM system architecture and coding (C/C++, Python).
Familiarity with Confidential Compute and notification systems.
Demonstrated ability to analyze algorithms for time/space complexity and system resource requirements.
You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding.
Ways to stand out from the crowd:
Experience building and scaling telemetry collection and analysis engines.
Active contributor to Open Compute (OCP) and DMTF in relevant areas.
Proven leadership in delivering innovative platform telemetry solutions for large-scale AI infrastructure.
You will also be eligible for equity and .
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What you'll be doing:
Create fruitful technical engagements across the semiconductor design and manufacturing startup ecosystem and lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers.
Inform NVIDIA's strategy for semiconductor manufacturers and EDA/CAE ISVs by working with diverse teams including Product, Engineering, Marketing, Applied Research, etc.
Use your technical expertise to discover high impact problems NVIDIA can uniquely solve that create new market paradigms.
Drive early adoption of new products and support launch and go-to-market activities.
Activate relationships with higher education and research and speak at relevant scientific, technical and industry conferences.
What We Need To See:
12+ years of experience with EDA ISVs or semiconductordesigners/manufacturers,e.g. Cadence, Synopsys, Siemens, ASML, AMAT, KLA, Lam Research, Samsung, SK Hynix, TSMC, Intel, etc.
A track record of defining and delivering impactful technical engagements, managing technical and business alliances across multiple partner groups, and working with peer teams to achieve objectives.
World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
MS/PhD in Computer Science or Engineering or equivalent experience.
Ways To Stand Out From The Crowd:
Developer experience creating tools and/or solutions for EDA, high-performance computing, applied machine learning, or deep learning.
Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.
Experience with NVIDIA products and SDKs: CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.
You will also be eligible for equity and .
These jobs might be a good fit

Share
What you'll be doing:
Create fruitful technical engagements across the semiconductor design and manufacturing ecosystem and lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers.
Inform NVIDIA's strategy for semiconductor manufacturers and EDA/CAE ISVs by working with diverse teams including Product, Engineering, Marketing, Applied Research, etc.
Use your technical expertise to discover high impact problems NVIDIA can uniquely solve that create new market paradigms.
Drive early adoption of new products and support launch and go-to-market activities.
Activate relationships with higher education and research and speak at relevant scientific, technical and industry conferences.
What We Need To See:
12+ years of experience with EDA ISVs or semiconductordesigners/manufacturers,e.g. Cadence, Synopsys, Siemens, ASML, AMAT, KLA, Lam Research, Samsung, SK Hynix, TSMC, Intel, etc.
MS/PhD in Computer Science or Engineering or equivalent experience.
A track record of defining and delivering impactful technical engagements, managing technical and business alliances across multiple partner groups, and working with peer teams to achieve objectives.
World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
Ways To Stand Out From The Crowd:
Developer experience creating tools and/or solutions for EDA, high-performance computing, applied machine learning, or deep learning.
Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.
Experience with NVIDIA products and SDKs: CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.
You will also be eligible for equity and .
These jobs might be a good fit

Share
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