We are seeking a hands-on technically deep and strategic Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across technology domains. You will work directly with software solution providers, developers, and industry professionals to champion the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep AI and technical expertise combined with a passion for developer education and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.
What You'll Be Doing
Build and own NVIDIA's developer ecosystem in Brazil, with a focus on SDK and library adoption, spanning startups, ISVs, enterprises, GSIs, and academic institutions.
Demonstrate and integrate NVIDIA’s software stack (tools, SDKs, libraries, NIMs, and blueprints) into real-world partner or developer projects to accelerate adoption.
Support developers and partners through onboarding and integration by providing code samples, guides and technical advisory that enable industry-specific use cases.
Research and monitor developer ecosystem trends to identify opportunities for growth, sharing insights with engineering, product, and marketing teams to improve adoption strategies.
Collaborate with partner technical leaders and internal engineering stakeholders to troubleshoot challenges, guide best-practice integrations, and feed technical takeaways back to NVIDIA teams.
Represent NVIDIA at top developer events and build a recurring presence in the local community.
Monitor the competitive landscape (including open-source model ecosystems) and feed insights back to product and engineering teams.
What We Need to See
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
12+ years of experience rooted in software engineering or technical roles. You should have a strong programming background in Python.
Proficiency in PyTorch, Hugging Face, and agentic AI frameworks (LangChain, LangGraph, LlamaIndex etc), hands-on experience with vector databases, inference serving (vLLM, TensorRT-LLM), and API-driven AI development.
Practical knowledge across the GenAI and Agentic AI stack: LLM fine-tuning and post-training, inference optimization, prompt engineering, RAG pipelines, and agentic patterns including multi-agent orchestration, tool use, etc.
Hands-on experience with NVIDIA's stack strongly preferred: CUDA, NeMo, TensorRT-LLM, Dynamo, NAT, RAPIDS etc.
Deep familiarity with Brazil's developer ecosystem
Fluency in Portuguese and English required; Spanish a strong plus for broader LATAM coverage
Ability to operate across audiences from engineers to CTOs
Ways to Stand Out from the Crowd
Experience building or deploying agentic AI systems, multi-agent frameworks, tool-calling pipelines, autonomous workflow automation.
Contributions to open-source AI projects, published technical blog posts, conference talks, or active GitHub presence demonstrating real technical work.
Established relationships within Brazil and LATAM’s AI community.
Familiarity with sovereign AI architectures, AI factory deployments in LATAM.
Track record of turning developer ecosystem insights into concrete product or engineering improvements.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Skills Required
- Bachelor’s or master’s degree in computer science, engineering, or a related technical field
- 12+ years of experience rooted in software engineering or technical roles
- Strong programming background in Python
- Proficiency in PyTorch, Hugging Face, agentic AI frameworks, vector databases, inference serving, and API-driven AI development
- Practical knowledge of GenAI and agentic AI, including LLM fine-tuning, post-training, inference optimization, prompt engineering, RAG, multi-agent orchestration, and tool use
- Hands-on experience with NVIDIA’s technology stack, including CUDA, NeMo, TensorRT-LLM, Dynamo, NAT, or RAPIDS
- Deep familiarity with Brazil’s developer ecosystem
- Fluency in Portuguese and English
- Ability to communicate effectively with audiences ranging from engineers to CTOs
- Spanish proficiency for broader LATAM coverage
- Experience building or deploying agentic AI systems, multi-agent frameworks, tool-calling pipelines, or autonomous workflow automation
- Contributions to open-source AI projects, technical publications, conference talks, or an active GitHub presence
- Established relationships within Brazil and LATAM’s AI community
- Familiarity with sovereign AI architectures and AI factory deployments in LATAM
- Track record of converting developer ecosystem insights into product or engineering improvements
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
-
Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
-
Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png){kind=logo}
