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Developer Advocate – Reinforcement Learning

NVIDIA -
Santa Clara, CA

Apply Now

Job Details

Full-time
$152,000 - $287,500 a year

Qualifications

AI models
Reinforcement learning
Product presentation
Content creation for technical audiences
Software coding
Presentations for conferences or internal meetings
AI platforms (beyond public GPTs)
Computational framework
Technical writing experience
Model training
Technical training
Machine learning libraries
Machine learning frameworks
Teaching

Full Job Description

The NVIDIA developer marketing group is looking for a developer advocate who is passionate about working with innovative technology, building well-documented inspirational demos, and sharing that code with the AI community. Our team is deeply committed to championing the developer ecosystem that builds applications on NVIDIA’s platform. We need a candidate who understands developers and works with the developer marketing on launching new technology.

Do you have the rare blend of both engineering and marketing skills? We need hard-working and creative people who are passionate about teaching our developer community how to employ accelerated computing. If you aspire to this calling, we would love to learn more about you!

What you'll be doing:

Create impactful and relevant content (e.g., demos, blogs, presentations, videos, etc.) and engage with developers, researchers, and students at events online or in person.
Collaborate with the product marketing team to launch emerging technology, write code, and share it with the community to inspire developers.
Actively participate on public-facing NVIDIA channels, including forums, Discord, and social media, helping developers understand our demos and encouraging them to build their own applications.
Some travel may be required to present at trade shows and conferences.

What we need to see:

Bachelor's degree in Computer Science or related field (or equivalent experience).
5+ years of relevant experience, including 3 years of engineering experience (or equivalent).
World-class communication and presentation skills with a proven track record of articulating the value proposition of an emerging technology.
Experience presenting to technical audiences and writing developer-facing content. You will be asked to provide samples of prior work.
Ability to design and implement Reinforcement learning and post-training pipelines for LLM to improve model reasoning, safety, and instruction-following capabilities.
Strong programming skills with the ability to develop easy-to-understand examples on training pipeline using AI frameworks such as PyTorch, JAX, and NeMo-RL
Ability to prioritize and work through constantly evolving projects that strive to demonstrate the benefits of new, potentially unstable technology.

Ways to stand out from the crowd:

In-depth knowledge of software architecture, system design, and application development.
Hands-on experience popular reinforcement learning libraries such as Unsloth, TRL, OpenRLHF.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Apply Now

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trl media group jobs

Developer Advocate – Reinforcement Learning

Principal Technical Product Manager (R5249)

Principal Designer (R5250)

Principal Engineer, Software (R5285)

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