You’ll work alongside engineers and researchers, collaborating in the development and maintenance of core infrastructure for AI agents and tools. This is a unique opportunity to learn, grow, and make an impact in a supportive, innovative environment.

‍

What you'll be doing:

‍

Help design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.
Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.
Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation.

‍

What we need to see:

‍

Pursuing a Bachelor's degree or higher in Computer Science or other related field.
Experience with Python (required) and JavaScript,
Knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code.
Practical experience in AI, machine learning, or agent frameworks (e.g., LangChain, OpenAI Functions).
Exposure to microservices, web apps, or databases (SQL/NoSQL), containers (Docker), Kubernetes, or CI/CD pipelines, distributed messaging systems (e.g., Kafka) or event-driven architectures.
Excellent communication skills and a collaborative, proactive approach.

‍

About the company

Nvidia

Company overview

NVIDIA designs GPUs and full-stack accelerated computing platforms used in gaming, professional visualisation, AI, and data centres. NVIDIA also builds networking and systems products for large-scale computing, plus software platforms such as CUDA and AI libraries that developers use to train and run models. NVIDIA sells to cloud providers, enterprises, researchers, and OEM partners, alongside a large consumer gaming ecosystem. NVIDIA is headquartered in Santa Clara, California and operates globally.

Locations and presence

NVIDIA’s corporate headquarters is in Santa Clara, California, and NVIDIA operates across dozens of countries (38 countries reported for fiscal year 2025). NVIDIA reports a “flexible work environment” with work-from-home under certain conditions, with day-to-day expectations varying by team and role.

Palpable Score

76.6

/ 100

NVIDIA is a strong early-career option because NVIDIA runs a clear set of student and new-grad pathways, and NVIDIA positions internships as the main pipeline into early-career hiring. The main friction point is hiring consistency: NVIDIA publishes an applicant-facing process, but public interview reports still include ghosting and uneven closure. Pay and intern experience signals are strong, while long-run early-career outcomes are not published as metrics candidates can easily compare.

view full company profile >