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What You'll Be Doing:
Serve as a trusted technical consultant for developers implementing NVIDIA Physical Ai technology and World Foundation Models.
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in Physical Ai with VLM’s and multimodal generative models.
Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Work closely with partner engineering teams, technical leaders, and decision-makers to uncover goals, tackle technical challenges, and endorse protocols for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Physical Ai, Generative Ai or Omniverse.
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative Ai, applied machine learning, or physical AI development.
Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, multimodal generative models and World Foundation Models.
Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers toexecutives.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing vertical-specific solutions such as deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
Successful history of building and scaling developer communities and delivering impactful technical enablement
You will also be eligible for equity and .
These jobs might be a good fit

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What you’ll be doing:
Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
7+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
Effective time management and capable of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentation, etc.
Ways to stand out from the crowd:
AWS, GCP, Azure or OCI Professional Solution Architect Certifications
Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)
Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
Solid working knowledge of Python
System-level experience, specifically GPU-based systems
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$135,800—$203,600 USD
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NVIDIA is seeking a Senior Technical Program Manager to lead the Infrastructure and Product Security and Compliance program for DGX Cloud. In this role, you will ensure our platforms and partner ecosystem meet the highest standards of trust, resilience, and governance.
As a Senior TPM focused on Cloud Security, you will own the design and execution of a DGXC-wide infrastructure security program that strengthens how DGXC operates with Cloud Service Providers (CSPs) and NVIDIA Cloud Partners (NCPs). You will drive security initiatives by embedding compliance controls, governance frameworks, and best practices across infrastructure, platform, and product teams. This role also ensures Product Security is integrated into product roadmap planning and the software development lifecycle, aligning product and infrastructure priorities. You will work closely with senior leaders and cross-functional teams in Security, Compliance, DevOps, and Engineering to continuously enhance and scale the DGX Cloud Security Posture.
What You’ll Be Doing:
Lead alignment across engineering, product, security, and partner teams to deliver against cloud security guidelines with CSP and NCP partners.
Drive programs that strengthen vulnerability management, access control, patching, and compliance readiness for SOC 2, ISO 27001, and related certifications.
Operate DGXC-wide security engineering forums and processes, establishing security KPIs, dashboards, and “run safe” SRE practices.
Partner with the CISO organization to define and assess emerging cloud providers against DGX Cloud security requirements, driving measurable improvements and action plans.
Implement and evolve security controls frameworks (e.g., SSH hardening, IAM, secret rotation) in CI/CD pipelines to ensure continuous compliance.
Lead certification readiness and audit cycles, including SOC 2 Type 1 & 2 and ISO 27001, from control mapping through evidence collection and remediation.
Chair the DGX Cloud Security & Compliance Working Group, managing governance reviews, risk dashboards, and executive reporting on posture and metrics.
Develop training programs to build security and compliance awareness across Product, DevOps, and Engineering teams.
Create playbooks and automation frameworks that streamline certification renewals, patching cycles, and vulnerability management workflows.
Maintain and continuously improve technical compliance documentation, including system diagrams, process flows, and control mappings.
What We Need to See:
12+ years of Program Management experience driving the planning and execution of large programs, software engineering projects in a fast paced environment.
Consistent track record delivering successful Security, Risk, and/or Compliance programs, particularly in cloud IaaS and SaaS environments, resulting in full certification of a suite of products and services.
Experience leading efforts related to SOC2 (Type 1 and Type 2) audits and readiness, including leading control implementation (e.g., access controls, change management, vulnerability management).
Experience operationalizing vulnerability management, patch management, SSH key governance, and access controls across distributed systems.
Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource constraints across cross-functional teams.
Demonstrated ability to define metrics, dashboards, and risk indicators that measure posture improvement and audit readiness.
Proficiency with tools like JIRA, to comfortably guide engineering teams on execution in an Agile/scrum manner and ensure accurate governance artifacts are delivered.
Excellent executive communication and presentation skills able to distill complex technical and compliance topics for senior leadership
MS EE or CS degree, or equivalent experience.
Ways to Stand Out from the Crowd:
Highly motivated with strong interpersonal skills, with proven track record to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.
Experience implementing security features in a multi-cloud environment.
Experience with sophisticated compliance programs, such as FedRamp, SCO2, or ISO certification efforts.
Solid understanding of tier 1 cloud technologies (AWS, GCP, Azure, OCI).
Experience with productivity tools and process automation.
You will also be eligible for equity and .

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What you’ll be doing:
Develop and test sample applications for chemistry and materials discovery using artificial intelligence.
Help develop AI first workflows using NVIDIA technology and popular deep learning frameworks.
Create clear, practical examples and documentation for developers and researchers.
What we need to see:
Pursuing a PhD in Chemistry, Materials Science, Computer Science, or a related field.
Familiarity with AI/ML concepts and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).
Basic understanding of chemistry or materials science principles.
Ways to stand out from the crowd:
Experience with GPU programming or CUDA and machine learning frameworks such as PyTorch.
Contributions to open-source projects related to AI or scientific computing.
Coursework or projects involving AI for scientific applications.
You will also be eligible for Intern
Applications for this job will be accepted at least until November 14,2025.NVIDIA
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What you will be doing:
The team will provide their services 24/7 with a follow-the-sun environment which will span continents. You will report directly to a manager in the United States.
Some CIS shifts require either a Saturday or Sunday each week. The hours worked may include an early or late start (10hrs-per-day x 4 days-per-week schedule) to ensure that the combination the US and India teams provide 24/7 coverage.
Every CIS team member will use alerts and alarms to help prevent issues and incidents when possible. You may also work with the developer community to develop and implement predictive support or diagnostic routines.
Perform systems administration tasks, network administration tasks, security incident monitoring to drive our actions.
CIS team members will work with developers to learn how the service works, then translate that understanding into runbooks which the entire team will use. As new features and functionality are added, you will also update and evolve the runbooks as needed.
Help discover incidents and issues, including initiating the incident management procedure.
Bring in subject matter authorities or service owners as needed to resolve issues. Feedback will help us continually improve our service.
Your interpersonal skills will help keep the team engaged through resolution and ensure our clients believe we value their time and effort. May perform other tasks that will help us provide extraordinary service levels for our customers.
What we need to see:
Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams, principles, and architects, coordinating effectively across organizational boundaries and geographies.
5+ years of experience administering large-scale production systems. 3+ years of experience in high-availability Internet, Cloud, or Data Center environments (Systems Administration, SRE, or NOC).
BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.
Expert-level knowledge of Linux system administration and automation using Ansible and/or Python.
Strong experience with shell scripting, DNS, DHCP, storage systems, and core networking (IP Tables, routing, firewalls).
Experience with at least one workload manager (Slurm preferred) or job scheduling system in a production environment.
Strong experience troubleshooting and maintaining large-scale bare-metal infrastructure. Strong cross-team collaboration, documentation, and mentoring skills.
Experience improving processes for automation, reliability, and operational excellence.
Expertise using monitoring tools and problem ticketing systems. Strong problem-solving, analytical, and troubleshooting abilities.
Ways to Stand Out from the Crowd:
Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management.
Familiarity with GPU hardware and high-performance computing environments.
Experience with observability and incident management tools (Grafana, OpenTelemetry, PagerDuty, JIRA). Cloud experience (AWS, Azure, GCP) is a plus; strong preference for on-prem expertise.
You will also be eligible for equity and .

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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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$135,800—$203,600 USD
Share
What You'll Be Doing:
Serve as a trusted technical consultant for developers implementing NVIDIA Physical Ai technology and World Foundation Models.
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in Physical Ai with VLM’s and multimodal generative models.
Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Work closely with partner engineering teams, technical leaders, and decision-makers to uncover goals, tackle technical challenges, and endorse protocols for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Physical Ai, Generative Ai or Omniverse.
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative Ai, applied machine learning, or physical AI development.
Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, multimodal generative models and World Foundation Models.
Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers toexecutives.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing vertical-specific solutions such as deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
Successful history of building and scaling developer communities and delivering impactful technical enablement
You will also be eligible for equity and .
These jobs might be a good fit