Top Entry Level Linux Jobs in San Diego, CA

As a Software Engineer I, you will write code, develop and debug applications, participate in reviews, and conduct technical research while collaborating in a flexible work environment.

Support additive manufacturing and testing activities in a laboratory, operate and maintain 3D printing systems, conduct tests, and ensure safety compliance.

Electronics test technician testing avionics and controls systems on military aircraft, troubleshooting failures, and using measurement tools.

The Software Engineer II is responsible for software design, development, testing, and maintenance, focusing on secure service development and Agile practices, under the guidance of senior engineers.

The iOS Engineer will develop and maintain member-facing features, work with cross-functional teams, and stay updated with Apple frameworks to optimize health insights for users.

The Cloud Engineer role involves developing configurations in YAML and JSON, building monitoring solutions, maintaining software applications, and writing custom scripts for various environments.

The Refrigeration Apprentice assists experienced technicians with HVAC system maintenance, repairs, and preventive measures while learning required skills in a supportive environment.

The Refrigeration Apprentice assists in HVAC and refrigeration maintenance, learning to perform repairs, preventive maintenance, and system diagnostics under supervision.

The Developer will support automated processing services using Linux and Python, monitor system uptime, engage in Agile workflows, and perform testing duties.

The Electrical R&D Technician will develop aerial vehicle components, conduct tests, and troubleshoot systems in a fast-paced environment.

As a Software Development Engineer I, you will build and maintain backend services and data pipelines, writing production code and improving system reliability.

As a Design Engineer, you will design and analyze memory circuits, conduct simulations, and collaborate with global teams for product development.

The role involves applying AI and machine learning methods to enhance NAND digital design and verification workflows, improving quality and performance. Responsibilities include interpreting specifications, developing AI-assisted techniques, and collaborating with engineering teams to correlate silicon data and document insights.