Staff Software Engineer, AI
ClouderaSan Jose, California, United States
Posted March 24, 2026
Full Time
About the Company
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. Learn more at Cloudera.com. --------------------------------------------------------------------------------- Recruitment Fraud Alert It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Job Description
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.
Requirements
- 10+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java
- Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc.
- Experience building and deploying Generative AI applications
- Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes
- Ability to go deep into technology and complex distributed systems
- Strong written and verbal communication skills
- Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.)
- Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.)
- Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
- Full-stack experience with React, HTML, CSS
- Experience with data science and machine learning tools (R, Python, Tensorflow, Spark)
- Deep understanding of cloud-based networking
- Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
- Experience using Big Data technologies like Spark, Hive etc.
- Proven track record of collaborating with agile teams across geographically dispersed locations
Benefits
- Generous PTO Policy
- Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups