Marketing Jobs at NVIDIA with Visa Sponsorship
Marketing jobs at NVIDIA span brand strategy, product marketing, and developer advocacy across some of the most technically complex products in the industry. NVIDIA has a strong track record of sponsoring work visas for Marketing professionals, including H-1B visa and E-3 visa pathways, making it a realistic target for international candidates with the right background.
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Get Access To All JobsINTRODUCTION
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!
ROLE AND RESPONSIBILITIES
We are looking for a Technical Product Marketing Engineer to build robotics simulation workflows and demonstrate how AI models can solve robotics tasks. You will develop working examples, evaluate their behavior and performance, and turn your findings into practical resources that help developers understand and adopt NVIDIA robotics technologies. As part of NVIDIA’s Robotics Technical Marketing team, you will work with engineering, product management, and product marketing to connect technical capabilities with developer needs. You will own well-defined projects—from implementation and testing through demonstrations and technical content—with mentorship and technical review from experienced teammates.
What you will be doing:
- Develop and test robotics simulation w/ agentic workflows using NVIDIA platforms Isaac Sim and Isaac Lab, including configuring robot models, environments, sensors, and task scenarios.
- Integrate AI models and robot policies into simulation workflows, connecting simulation inputs, model inference, and robot behavior.
- Build reusable Python code and sample applications that demonstrate practical robotics use cases.
- Evaluate task success, runtime performance, and failure cases through repeatable experiments; document configurations, results, and limitations.
- Create demos, tutorials, technical blogs, and workflow guides that explain what you built, how it works, and how developers can reproduce the results.
- Collaborate with engineering and product teams to troubleshoot integration issues, validate technical claims, and surface opportunities to improve the developer experience.
- Present your work and contribute to technical demonstrations and educational materials for developers, partners, and customer-facing teams.
BASIC QUALIFICATIONS
What we need to see:
- Pursuing or recently completed a BS or MS degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent experience.
- Strong Python programming fundamentals, including experience debugging, testing, and organizing code.
- Hands-on academic, research, internship, or personal project experience with robotics or simulation.
- Foundational understanding of linear algebra, coordinate transformations, and robotics concepts such as sensors, kinematics, or control.
- Familiarity with machine learning fundamentals and practical experience running or evaluating models using a framework such as PyTorch.
- Ability to investigate technical problems systematically and communicate results through clear writing and presentations.
- Initiative in learning new tools, incorporating feedback, and following through on defined technical deliverables. Relevant experience may come from coursework, capstone projects, research, internships, open-source contributions, or personal projects.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with NVIDIA Isaac Sim, Isaac Lab, or other robotics simulators.
- A project applying learned policies or pre-trained AI models to robotics tasks, such as perception, manipulation, or navigation.
- Exposure to reinforcement learning, imitation learning, synthetic data generation, or simulation-to-real evaluation.
- Familiarity with Linux, Git, ROS 2, C++, or GPU-accelerated computing.
- Examples of reusable code, demonstrations, tutorials, or technical presentations that make a complex topic understandable and help others reproduce your work.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 84,000 USD - 143,750 USD for Level 1, and 100,000 USD - 161,000 USD for Level 2. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 23, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!
ROLE AND RESPONSIBILITIES
We are looking for a Technical Product Marketing Engineer to build robotics simulation workflows and demonstrate how AI models can solve robotics tasks. You will develop working examples, evaluate their behavior and performance, and turn your findings into practical resources that help developers understand and adopt NVIDIA robotics technologies. As part of NVIDIA’s Robotics Technical Marketing team, you will work with engineering, product management, and product marketing to connect technical capabilities with developer needs. You will own well-defined projects—from implementation and testing through demonstrations and technical content—with mentorship and technical review from experienced teammates.
What you will be doing:
- Develop and test robotics simulation w/ agentic workflows using NVIDIA platforms Isaac Sim and Isaac Lab, including configuring robot models, environments, sensors, and task scenarios.
- Integrate AI models and robot policies into simulation workflows, connecting simulation inputs, model inference, and robot behavior.
- Build reusable Python code and sample applications that demonstrate practical robotics use cases.
- Evaluate task success, runtime performance, and failure cases through repeatable experiments; document configurations, results, and limitations.
- Create demos, tutorials, technical blogs, and workflow guides that explain what you built, how it works, and how developers can reproduce the results.
- Collaborate with engineering and product teams to troubleshoot integration issues, validate technical claims, and surface opportunities to improve the developer experience.
- Present your work and contribute to technical demonstrations and educational materials for developers, partners, and customer-facing teams.
BASIC QUALIFICATIONS
What we need to see:
- Pursuing or recently completed a BS or MS degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent experience.
- Strong Python programming fundamentals, including experience debugging, testing, and organizing code.
- Hands-on academic, research, internship, or personal project experience with robotics or simulation.
- Foundational understanding of linear algebra, coordinate transformations, and robotics concepts such as sensors, kinematics, or control.
- Familiarity with machine learning fundamentals and practical experience running or evaluating models using a framework such as PyTorch.
- Ability to investigate technical problems systematically and communicate results through clear writing and presentations.
- Initiative in learning new tools, incorporating feedback, and following through on defined technical deliverables. Relevant experience may come from coursework, capstone projects, research, internships, open-source contributions, or personal projects.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Experience with NVIDIA Isaac Sim, Isaac Lab, or other robotics simulators.
- A project applying learned policies or pre-trained AI models to robotics tasks, such as perception, manipulation, or navigation.
- Exposure to reinforcement learning, imitation learning, synthetic data generation, or simulation-to-real evaluation.
- Familiarity with Linux, Git, ROS 2, C++, or GPU-accelerated computing.
- Examples of reusable code, demonstrations, tutorials, or technical presentations that make a complex topic understandable and help others reproduce your work.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 84,000 USD - 143,750 USD for Level 1, and 100,000 USD - 161,000 USD for Level 2. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 23, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all Marketing Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Marketing Jobs at NVIDIA.
Get Access To All JobsTips for Finding Marketing Jobs at NVIDIA
Build a portfolio around technical product narratives
NVIDIA hires Marketing professionals who can translate GPU architecture, AI platforms, and developer tools into compelling stories. Preparing case studies that show you've marketed complex technical products positions you far ahead of generalist candidates in their screening process.
Target roles aligned with NVIDIA's growth verticals
NVIDIA's Marketing hiring concentrates around AI, data center, and gaming product lines. Applying to roles in those verticals, rather than general brand or comms positions, increases your chances of reaching a hiring manager who actively needs your background and has budget to sponsor.
Verify your employer's E-Verify enrollment before accepting
H-1B and E-3 sponsorship legally requires the employer to participate in E-Verify. Confirm NVIDIA's enrollment status through the E-Verify employer search tool before you reach the offer stage, so there are no surprises when the sponsorship conversation begins.
Clarify whether your role qualifies as a specialty occupation
USCIS requires H-1B roles to meet specialty occupation criteria, meaning the position must normally require a bachelor's degree in a specific field. For Marketing, a degree in marketing, communications, or business typically satisfies this, but ambiguously scoped roles can face RFEs, so align your job description tightly to your credentials before filing.
Start your LCA timeline well before your intended start date
Your employer must file a Labor Condition Application with the DOL and receive certification before submitting your H-1B petition to USCIS. This step alone can take one to two weeks, so factor it into your negotiated start date rather than assuming sponsorship begins the moment you sign your offer.
Use Migrate Mate to surface NVIDIA Marketing openings efficiently
NVIDIA posts Marketing roles across multiple channels and job titles, making it easy to miss relevant openings. Use Migrate Mate to browse verified visa-sponsoring Marketing positions at NVIDIA in one place, filtered by role type and visa category, so your search stays focused.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Marketing roles?
Yes, NVIDIA sponsors H-1B visas for Marketing professionals. The role must qualify as a specialty occupation under USCIS standards, which typically means the position requires a bachelor's degree in a specific field such as marketing, communications, or business. NVIDIA's size and established legal infrastructure mean the sponsorship process is generally well-managed, but the H-1B cap and annual lottery still apply for most candidates not already holding H-1B status.
How do I apply for Marketing jobs at NVIDIA?
Applications go through NVIDIA's careers portal at nvidia.com/en-us/about-nvidia/careers. Marketing roles at NVIDIA are competitive, so tailoring your resume to reflect experience with technical product marketing, go-to-market strategy, or developer-facing campaigns gives you a stronger signal. You can also browse NVIDIA's open Marketing positions filtered by visa sponsorship eligibility through Migrate Mate, which surfaces roles specifically relevant to international candidates.
Which visa types does NVIDIA typically use for Marketing professionals?
NVIDIA sponsors both H-1B and E-3 visas for Marketing roles, along with immigrant pathways including EB-2 and EB-3 for longer-term sponsorship. Australian citizens are well-positioned to pursue the E-3 route, which bypasses the H-1B lottery entirely and allows for two-year renewable periods. Green Card sponsorship through PERM labor certification is also available, though it involves a significantly longer timeline than nonimmigrant options.
What qualifications does NVIDIA look for in Marketing candidates who need visa sponsorship?
NVIDIA's Marketing roles typically require a bachelor's degree in marketing, communications, business, or a related field, and most mid-to-senior positions expect several years of experience in product marketing, content strategy, or demand generation within a technology company. For H-1B eligibility specifically, your degree field must align directly with the role's responsibilities. Experience marketing developer tools, AI products, or enterprise hardware is a meaningful differentiator in their hiring process.
How do I think about timing when pursuing H-1B sponsorship at NVIDIA?
The H-1B cap-subject registration window opens each March, and USCIS conducts its lottery shortly after. If selected, employment can begin no earlier than October 1 of that year. That means if you receive an offer from NVIDIA outside an active registration window, you may need to start on a different status such as OPT or a cap-exempt arrangement, or wait until the next cycle. Building this calendar into your offer negotiation prevents misaligned expectations on both sides.