$184,000 - $287,500 USD yearly
Originally posted 16 September 2026 by the employer.
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 22 days — well below the 74-day median for Product Marketing roles.
Product Marketing · AI ML Hardware
|
Open roles in category
39
|
Median days open
74 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (39 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 8 | 39 |
| Median days open | 58 d | 74 d (−16 d vs this employer) |
| Median salary (USD postings) | — | $220k |
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) · 8 open roles · median 58 d
- AMD · 5 open roles · median 36 d
- Qualcomm · 3 open roles · median 37 d
- SambaNova · 3 open roles · median 15 d
- Ambarella · 2 open roles · median 45 d
- FuriosaAI · 2 open roles · median 74 d
How we counted: 39 open Product Marketing (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 9 Oct 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.