Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. 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. Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here. As a Staff Software Engineer you will: 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. We are excited if you have (Required Experience): Bsc/Msc in related field or equivalent experience 10+ years of experience building scalable microservices or applications using Go, Python, Node.js, C# or Java

Experience

building and deploying AI Inference and Generative AI applications.

Experience

with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc.

Experience

with microservices design and development (Go, GRPC, SQL) on Kubernetes Demonstrate ability to go deep into technology and complex distributed systems

Experience

in crafting high-level and low-level design

Experience

in building highly scalable, robust and secure enterprise applications Self-driven and motivated, with a strong sense of ownership and craftsmanship Strong written and verbal communication skills. You may also have:

Experience

with HuggingFace, Nvidia AI frameworks and Nim models.

Experience

with AI/ML orchestration software KServe, Knative, Kubeflow.

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 Good to have some 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

using Big Data technologies like Spark, Hive etc. Proven track record of collaborating with agile teams across geographically dispersed locations This role is not eligible for immigration sponsorship or relocation. The anticipated annual base salary range for this position is: California: $184,000- $230,000 Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package. What you can expect from us: Generous PTO Policy Support work life balance with 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 EEO/VEVRAA #LI-BV1 #LI-HYBRID 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. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at privacy@cloudera.com. EEO/VEVRAA If you need assistance with applying for a position, please email our office at talentacquisition@cloudera.com.