Our System Design Automation team is looking for an experienced Software Engineer with a passion for UX/UI and AI integration to join our engineering group. We are seeking a versatile developer who excels at building intuitive, user-centric software platforms and has a proven ability to seamlessly embed AI/ML solutions into production-ready tools.
The team develops and sustains a range of capabilities for NVIDIA's next-generation hardware platforms—bridging traditional software engineering with with AI-based automation and intelligent debugging solutions. Your role will be to ensure these advanced technologies are delivered through a cohesive system architecture and a superior user experience, accelerating issue resolution and improving product reliability for the world's most advanced GPU and data center technologies
What You'll Be Doing:
Architect, develop, and support end-to-end software tools across the full engineering stack—from robust backend services and data processing to intuitive, user-centric interfaces.
Design and implement agentic workflows—building multi-step, tool-using AI agents integrated into software platforms to enable autonomous reasoning and action.
Build and maintain scalable data pipelines and ETL flows for logs and telemetry data to support intelligent automation and AI/ML workflows.
What We Need to See:
B.Sc. or M.Sc. in Computer Science, Electrical/Computer Engineering, or equivalent practical experience.
5+ years of experience in software engineering, with a proven track record of developing complex Client-Server applications.
Strong proficiency in Web technologies (e.g., React, Angular, Vue, or similar) and a solid UX/UI mindset for building intuitive, interactive user interfaces.
Strong Python skills and experience in integrating AI/ML solutions into production software environments.
Solid understanding of software architecture and system-level design (APIs, services, and data flow).
Hands-on experience with Linux, Git, and containerization (e.g., Docker, Kubernetes).
Strong analytical and problem-solving skills, with an eagerness to learn and optimize complex software systems.
Ways to Stand Out from the crowd
Experience with full-stack or frontend web development, particularly building internal tools or dashboards using React
Hands-on experience designing and implementing agentic workflows (e.g., LangChain, LangGraph, AutoGen, or similar frameworks)
Experience with LLM fine-tuning, prompt engineering, or RAG pipelines
Familiarity with hardware debugging, observability/logging systems, or chip/system reliability analysis
Experience with vector databases (FAISS, Pinecone, Milvus) or MLOps tools (MLflow, Kubeflow)
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you’re creative, data-driven, and eager to build LLM-powered tools that transform hardware engineering, we want to hear from you!NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and 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.
Skills Required
- B.Sc. or M.Sc. in Computer Science, Electrical/Computer Engineering, Data Science, or equivalent practical experience
- 5+ years of experience in software engineering with AI/ML or a related field
- Strong Python skills (pandas, NumPy, PyTorch or TensorFlow)
- Solid understanding of deep learning fundamentals and interest in LLMs/NLP
- Hands-on experience with Linux, Git, and container tools (e.g., Docker)
- Strong analytical and problem-solving skills
- Eagerness to learn complex hardware/software systems
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.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
