Staff Software Engineer – AI

🕒 6 days ago

🏢🏡 San Jose – Hybrid

💵 $184k - $230k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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