Used Tools & Technologies
LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 4
Ansible @ 4
Chef @ 4
ElasticSearch @ 4
Go @ 4
Jenkins @ 4
MySQL @ 4
Terraform @ 4
Python @ 4
SQL @ 4
GCP @ 4
Java @ 4
NoSQL @ 4
CI/CD @ 4
Distributed Systems @ 4
Machine Learning @ 4
Hiring @ 4
AWS @ 4
Azure @ 4
Django @ 4
Flask @ 4
HTML @ 4
JavaScript @ 4
MongoDB @ 4
React @ 6
Service Oriented Architecture @ 4
Angular @ 6
CSS @ 4
Node.js @ 6
Vue.js @ 6
API @ 4
Maven @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
Agentic AI @ 4
RAG @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 a diverse, encouraging environment where everyone is inspired to do their best work.
NVIDIA is hiring senior software engineers in its Infrastructure, Planning and Process Team (IPP), to accelerate AI adoption across various engineering workflows within the company. IPP is a global organization within NVIDIA. The group works with other teams across NVIDIA (Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars) to cater to infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will design and implement tools and software solutions that leverage Large Language Models and agentic AI to automate end-to-end software engineering workflows and enhance the productivity of engineers across NVIDIA.
Responsibilities
- Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.
- Design, develop, and deploy AI agents to automate software development workflows and processes.
- Continuously measure and report on the impact of AI interventions, demonstrating improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR).
- Create and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.
- Conduct research on emerging technologies to recommend best practices and improvements.
Requirements
- BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
- Well versed with Large Language Models (LLMs), Machine Learning (ML), and Agentic AI techniques.
- Hands-on experience using large language models (LLMs) and implementing AI for software engineering workflows.
- Hands-on experience with Python/Java/Go, with extensive Python scripting experience.
- Experience working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
- Experience in full-stack development. Proficient in front-end (React, Angular, Vue.js, HTML, CSS, JavaScript), back-end (Node.js, Python/Django/Flask, Java/Spring, .NET), database management (SQL/NoSQL), and deployment/hosting (AWS, Azure, GCP).
- Experience with tools for CI/CD setup such as Jenkins, GitLab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.
- Good understanding of distributed systems, microservice architecture and REST APIs.
- Good to have knowledge of build tools like Make, Maven or Ant.
- Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.
Ways to stand out from the crowd
- Proactively track AI tool and technology trends, build insights, and collaborate with development teams early to evangelize AI-driven workflows and NVIDIA adoption.
- Expertise in leveraging LLMs and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation (RAG) and fine-tuning LLMs on enterprise data.
- Prior development of a large software project using service oriented architecture operating with real-time constraints.
Compensation & benefits
- Base salary ranges (depending on level and location):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and company benefits (link to NVIDIA benefits referenced in posting).
Additional information
- Applications for this job will be accepted at least until March 3, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.