Staff Software Engineer (A.I)
Company: Cloudera
Location: US-Texas-Austin, United States of America {{REMOTE}}
Type: Full-time
Posted: 2026-07-28
About this role
- Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera’s next-generation AI and machine learning platform
- You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale
- This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management
- We look for “The Startup Spark”, a desire to create new things, dive in wherever there’s a need, eagerness to make an impact as an individual, and the willingness to learn new things
- You must be self-motivated, innovative, and proactive
- The role offers significant opportunities for growth
- Help build the leading platform for AI and Machine Learning in the enterprise
- Design, code, and implement elegant, scalable, enterprise-quality AI inference services powered by machine learning models
- Design and Develop AI Model Registry and AI applications
- Work to enhance developer velocity and team agility
- Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners
### Benefits
- Comprehensive medical, dental, and vision plans
- On-site gyms at various locations
- Gym reimbursement
- Paid medical disability & child bonding leaves
- Volunteer time off policy
- Quarterly team building offsites
- Tuition reimbursement
- Free and catered lunches based on office location
- Discount programs
- Business travel insurance
- Work from home opportunities- Experience building and deploying AI Inference and Generative AI applications
- Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augme...