Staff Software Engineer - AI

Business Area:

Seniority 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.

This role is not eligible for immigration sponsorship.

As a 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….

• Experience building and deploying AI Inference and Generative AI applications.

• 8+ years of experience building scalable microservices or applications using Go, Python, 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 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.

• Bsc/Msc in related field or equivalent experience

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

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

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