$184,000 - $287,500 USD yearly
Originally posted 16 September 2026 by the employer — open 4 days.
About the role
This role defines how developers transform real-world data into high-fidelity virtual environments and use simulation to build, train, test, and validate intelligent systems. You will lead the portfolio narrative and go-to-market strategy across real-to-sim workflows, classical and neural simulation frameworks, open Physical AI datasets, and co-simulation.
What you'll do
- Own the global product marketing strategy and go-to-market for NVIDIA's real-to-sim and simulation frameworks portfolio.
- Drive messaging and go-to-market across real-world data capture, neural reconstruction, digital twins, open Physical AI datasets, classical and neural simulation frameworks, co-simulation, and closed-loop testing.
- Build a cohesive developer narrative spanning capture, reconstruction, scene creation, simulation, training, testing, validation, and continuous improvement.
- Define the co-simulation story for connecting physics engines, neural world models, sensor simulation, autonomous-system software, and third-party simulation tools.
- Partner with product management, engineering, and research to influence portfolio strategy, roadmap priorities, platform integration, developer experience, and requirements.
- Drive developer adoption through reference architectures, technical content, demonstrations, workshops, sample workflows, and open frameworks.
What you'll need
- Master's degree or equivalent experience in Engineering, Computer Science, Robotics, Artificial Intelligence, or a related technical field.
- 12+ years of experience in product marketing, technical product marketing, product management, or developer relations.
- Strong technical foundation in simulation, computer graphics, physics, AI, robotics, or autonomous systems.
- Experience with real-to-sim pipelines, neural reconstruction, digital twins, sensor simulation, physics engines, neural world models, and co-simulation architectures.
- Experience developing go-to-market strategies for technical platforms, frameworks, SDKs, APIs, or open-source technologies.
- Demonstrated ability to build a unified market narrative across multiple technologies, development stages, and engineering audiences.
Skills: product marketing, go-to-market strategy, real-to-sim, simulation frameworks, Physical AI
This role has been open 3 days — well below the 59-day median for Product Marketing roles.
Product Marketing · AI ML Hardware
|
Open roles in category
36
|
Median days open
59 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (36 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 36 |
| Median days open | 39 d | 59 d (−20 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: product marketing, go-to-market strategy, real-to-sim, simulation frameworks, Physical AI
Who's hiring in this category
- NVIDIA (this employer) · 6 open roles · median 39 d
- AMD · 4 open roles · median 47 d
- Qualcomm · 3 open roles · median 18 d
- Ambarella · 2 open roles · median 26 d
- FuriosaAI · 2 open roles · median 55 d
- GlobalFoundries · 2 open roles · median 89 d
How we counted: 36 open Product Marketing (AI ML Hardware) roles from 20 employers tracked in the SemiconductorJobs index, counted 20 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.