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Nvidia Senior Technical Program Manager – CSP Engagements United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- US, Remote
- US, WA, Redmond
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
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
Unity Senior Technical Program Manager Localization APAC United States, Connecticut, New Haven
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- Serve as the primary localization program contact for internal teams across APAC; manage requests, timelines, and deliverables with clarity and professionalism
- Collaborate with global TPM peers to balance workloads, prioritize initiatives, and align on global standards and best practices
- Partner with internal stakeholders—including senior and executive leaders—to gather requirements, set expectations, and ensure smooth execution
- Coordinate closely with linguists, localization engineers, and APAC-based vendors to ensure quality, consistency, and technical reliability across workflows; occasional travel (10–25%) may be required to support team and vendor alignment
- Identify opportunities to improve localization processes and contribute to scaling our global operations
- 5–10 years of professional experience, including technical project/program management in localization, content, or global operations
- Strong organizational and time management skills; able to manage multiple priorities across global time zones with minimal supervision
- Excellent communication and interpersonal skills, with experience presenting to or working directly with executive stakeholders
- Fluency in both English and Korean (spoken and written); ideally has lived and worked in Asia Pacific and understands regional work styles and cross-cultural dynamics
- Ability to follow established localization processes while identifying and suggesting improvements as needed
- Experience working with localization tools and platforms (e.g., Phrase, Smartling, Trados)
- Experienced with Agile methodologies and tools like Jira or Asana
- Experience managing large-scale or technical localization projects across multiple languages
- Fluency in Japanese
- Background in supporting localization for tech, gaming, or developer-focused content
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
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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Nvidia Senior Solutions Architect GPU - Cloud Service Providers United States, Texas
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- US, CA, Santa Clara
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted Today
- job requisition id
What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
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Nvidia Robotics Developer Relations Manager – Research United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
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 .
These jobs might be a good fit
Nvidia Solutions Architect - Cloud AI United States, Texas
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- US, WA, Redmond
- US, WA, Remote
- US, CA, Santa Clara
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
What You'll Be Doing:
Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.
Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.
Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See:
4+ years of experience in cloud computing and/or large-scale AI systems.
A BS in EE, CS, Math, or Physics, or equivalent experience.
A proven understanding of cloud computing and large-scale computing systems.
Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.
Passion for machine learning and AI, and the drive to continually learn and apply new technologies.
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
Ways To Stand Out From The Crowd:
Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.
Knowledge of Azure cloud and AzureML services.
Experience with CUDA programming and optimization.
Familiarity with NVIDIA networking technologies such as Infiniband.
Proficiency in Linux, Windows Subsystem for Linux, and Windows.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Senior PR Manager Quantum Computing CAE United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
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 .
These jobs might be a good fit
Unity Engineering Manager Graphics United States, Oregon
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- Partnership Deliverables: Oversee the planning, execution, and successful delivery of graphics-related engineering work committed as part of strategic platform partnership agreements, ensuring alignment with Unity's graphics architecture.
- Communication: Act as a key technical point of contact for external partners, effectively communicating progress, challenges, and solutions.
- Roadmap & Planning: Contribute to the team's roadmap, prioritize tasks, manage backlogs, and ensure efficient resource allocation to meet aggressive deadlines.
- Team Leadership & Mentorship: Lead and mentor a graphics engineering team in developing robust, high-performance, and maintainable C++ code for core graphics systems, ensuring seamless cross-functional collaboration with other teams for platform integration.
- 5+ years of experience in computer graphics engineering, with expert-level proficiency in C++ .
- 4+ years of experience in an engineering management or team lead role, successfully guiding engineering teams.
- Solid understanding of rendering pipelines, GPU architecture, and performance optimization techniques.
- Demonstrated ability to deliver high-quality software on schedule, particularly within the context of external partnerships or client commitments.
- Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with internal and external stakeholders.
- Experience working on a commercial game engine or similar large-scale graphics application.
- Familiarity with Unity's rendering architecture or related systems.
- Background in real-time rendering for games or other interactive 3D applications.
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
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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- US, CA, Santa Clara
- US, TX, Austin
- US, Remote
- US, WA, Redmond
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
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
