Cloudera
Staff Software Engineer , Anywhere Cloud - AI Systems & Runtimes
US-California-San Jose, USA · Staff+
Sponsorship not specified$184k-$230kDetected 135 days ago
PythonGoRustC++Node.jsVector DatabasesDockerKubernetesDevOpsMachine LearningNLPLLMsRAGAgentic AIAI OrchestrationResearchCollaboration
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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About the role
- At Cloudera, we empower people to transform complex data into clear and actionable insights.
- Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
Responsibilities
- Enterprise AI Services: Design and implement elegant, scalable application services (Go/Node.js) that wrap AI capabilities for enterprise use.
- Developer Velocity: Build internal tooling, SDKs, and "AI Gateways" that enhance team agility and simplify the integration of Foundation Models (Llama, GPT) into product features.
- Cross-Functional Collaboration: Partner with UI engineers, UX designers, and Product Management to ensure the AI platform is not just powerful, but highly usable for internal developers.
- Support work life balance with Unplugged Days
Requirements
- Bachelor's degree with 6+ years of software engineering experience (or equivalent Masters/PhD tenure), with at least 2+ years focused on AI/ML systems.
- Expert proficiency in Python (for AI ecosystem) and strong competence in a systems language like Go or Rust/C++ (for high-performance serving layers).
- Ability to navigate the rapidly changing AI landscape, filtering hype from practical engineering solutions, and driving technical alignment across teams.
- We're excited about you if you have:
- Model Fine-Tuning: Experience with efficient fine-tuning techniques (PEFT, LoRA/QLoRA) on custom datasets.
Skills
- Ready to take cloud innovation to the next level?
Compensation
- The anticipated annual base salary range for this position is:
Benefits
- Generous PTO Policy
- Flexible WFH Policy
- Phone and Internet Reimbursement program
- Comprehensive Benefits and Competitive Packages
Company info
- 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 the recent acquisition of Taikun, we are simplifying Kubernetes and cloud management even further, creating a platform that is unified, scalable, and future-ready.
Visa & Work Authorization
- This role is not eligible for immigration sponsorship.
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This listing is sourced directly from Cloudera's careers page and normalized into a canonical job model.