Top Entry Level Linux Jobs in San Diego, CA

Build full‑stack product features for post‑sales workflows using AI; prototype, iterate, and ship quickly; own projects end‑to‑end; collaborate with PMs, designers, and senior engineers; work in‑person in San Francisco and contribute to a high‑growth startup environment.

Execute micro- and nanofabrication process flows in the Berkeley Nanolab cleanroom, operate photolithography, deposition, etch, and metrology tools, support process development and yield improvement, maintain fabrication documentation, troubleshoot tool/process issues, coordinate with lab staff, and follow cleanroom and chemical safety protocols. Early-career hires will grow into process ownership and learn yield and failure analysis.

Mobasi seeks talented individuals passionate about AI, forensics, or law enforcement to propose their own roles. Creators and problem-solvers are encouraged to apply.

Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.

The Back-End Engineer will design and implement backend services and APIs, write maintainable code, integrate with databases, and collaborate with cross-functional teams.

As a Solutions Engineer, you will demonstrate product value, support onboarding, conduct workshops, find bugs in software, and provide customer guidance.

Corporate IT roles focus on maintaining infrastructure, enforcing security protocols, optimizing enterprise applications and collaborating with business units to enhance technology solutions.

Develop integrations between Ciena's enterprise applications using Mulesoft and Oracle SOA, preparing documentation, and collaborating with various teams.

Looking for a Network Architect to engineer and architect large-scale networks with knowledge of OSPF, BGP, and programming efficiencies using Python.

Embed with cross-functional teams to design, build, and maintain AI applications. Translate business requirements into production software, implement and integrate AI/LLM features, and collaborate closely with stakeholders on product outcomes.