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What You’ll Be Doing:
Lead the product strategy and execution for NVIDIA’s Omniverse Digital Twin platform focused on Digital Twin robotics and automation integration use cases. Drive cross-functional alignment and deliver features that enable scalable, Physical AI-powered simulation solutions.
Define and manage roadmap, use cases, and user journeys for industrial digital twins
Translate customer needs into clear, prioritized requirements
Partner with engineering to drive execution and technical trade-offs
Serve as a voice of the customer across development and GTM teams
Mentor and guide junior PMs to grow product leadership capacity
POR & One-page summaries of strategic intent
Product roadmap with quarterly milestones and long-term vision
PRDs with use cases, personas, and workflows
Capability and release launch plans in coordination with GTM and engineering
What We Need To See:
7+ years in product management, including experience owning sophisticated platform or developer-facing products.
BS or MS in Computer Science, Engineering, or equivalent experience.
Confident navigating cross-functional leadership and high-stakes decision-making, with the ability to lead product initiatives and drive alignment.
Background in robotics, automation, simulation, or digital twins — or a proven track record to ramp up quickly in highly technical domains.
A strategic and systems thinker, equally comfortable defining big-picture vision and execution details.
Experience in both startup and large enterprise settings; adaptable, pragmatic, and process-aware.
Ways To Stand Out From The Crowd:
Strong sense of purpose and ownership, with an ability to prioritize, deliver product, and encourage those around you.
Humble, collaborative, and curious, always seeking new ways to tackle problems and empower your team.
You will also be eligible for equity and .
These jobs might be a good fit

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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$123,300—$184,900 USD
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What You Will Be Doing:
Bring new products and new technologies to high volume manufacturing
Deliver datamation solutions for enhanced decision making
Manage supplier performance evaluation matrix and keep it updated based on changing business needs
Drive continuous improvement in manufacturing yield, cycle time and product quality/reliability
Lead change control through qualification and notification
Lead non-conforming material disposition
Manage BOM supply chain and optimize sourcing solutions for best capacity and cost
What We Need To See:
Master’s degree or higher in Engineering or Science with emphasis on Mechanical, Materials Science, Chemical Engineering fields (or equivalent experience)
12+ years of validated experience in Flip Chip semiconductor packaging design, process and materials development. Direct experience in advanced assembly technologies such as 2.5D/3D packaging, Photonics packaging experience is desirable
Solid technical knowledge of materials, process, package design and equipment technologies in substrate, bumping, and chip assembly
Strong skills in project management and supplier management
Solid understanding of quality control, statistics process control, gage R&R and DOE techniques
Good knowledge of packaging industry and its supply chain
Excellent written and verbal communication skills
Experience working with multi-functional teams across the world
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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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$98,000—$187,000 USD
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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 .

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You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What you'll be doing:
Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.
Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.
Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence.
Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
What we need to see:
Master or PhD or equivalent experience in Computer Science or related field, with a minimum of 5 years in large-scale distributed systems or AIinfrastructure.
Advanced expertise in Python (required), strong experience with JavaScript, and deep knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code.
Demonstrated expertise in crafting scalable microservices, web apps, SQL, and NoSQL databases (especially MongoDB and Redis) in production with containers, Kubernetes, and CI/CD.
Solid experience with distributed messaging systems (e.g., Kafka), and integrating event-driven or decoupled architectures into robust enterprise solutions.
Practical experience integrating and fine-tuning LLMs or agent frameworks (e.g., LangChain, LangGraph, AutoGen, OpenAI Functions, RAG, vector databases, timely engineering).
Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoingoperations/support.
Excellent communication skills and a collaborative, proactive approach.
You will also be eligible for equity and .

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What You’ll Be Doing:
Lead the product strategy and execution for NVIDIA’s Omniverse Digital Twin platform focused on Digital Twin robotics and automation integration use cases. Drive cross-functional alignment and deliver features that enable scalable, Physical AI-powered simulation solutions.
Define and manage roadmap, use cases, and user journeys for industrial digital twins
Translate customer needs into clear, prioritized requirements
Partner with engineering to drive execution and technical trade-offs
Serve as a voice of the customer across development and GTM teams
Mentor and guide junior PMs to grow product leadership capacity
POR & One-page summaries of strategic intent
Product roadmap with quarterly milestones and long-term vision
PRDs with use cases, personas, and workflows
Capability and release launch plans in coordination with GTM and engineering
What We Need To See:
7+ years in product management, including experience owning sophisticated platform or developer-facing products.
BS or MS in Computer Science, Engineering, or equivalent experience.
Confident navigating cross-functional leadership and high-stakes decision-making, with the ability to lead product initiatives and drive alignment.
Background in robotics, automation, simulation, or digital twins — or a proven track record to ramp up quickly in highly technical domains.
A strategic and systems thinker, equally comfortable defining big-picture vision and execution details.
Experience in both startup and large enterprise settings; adaptable, pragmatic, and process-aware.
Ways To Stand Out From The Crowd:
Strong sense of purpose and ownership, with an ability to prioritize, deliver product, and encourage those around you.
Humble, collaborative, and curious, always seeking new ways to tackle problems and empower your team.
You will also be eligible for equity and .
These jobs might be a good fit