Description

What you’ll be doing:

Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.

Experience designing, developing, and deploying AI agents to automate and 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

What we need to see:

BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.

Well versed with Large Language Mode (LLM), Machine Learning (ML), Agentic AI techniques.

Hands-on experience in using large language models (LLMs) and implementing AI for software engineering workflows.

Hands-on experience on Python/Java/Go with extensive python scripting experience.

Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

Experience in Full stack development.. Proficient in front-end (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript), back-end (e.g., Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, .NET) development, database management (SQL/NoSQL), and deployment/hosting (e.g., 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, understanding of 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 NVIDIA adoption.

We have some of the most forward-thinking and versatile people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are building a team that will truly change the world. If you are passionate about new technologies, care about software quality, and want to be part of the future of transportation and AI, I would love for you to join us.

Expertise in leveraging large language models (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

Key Skills

Education

Any Graduate