Top Entry Level Linux Jobs in San Diego, CA

Designs and enhances custom conveyor and automated material handling systems. Reviews designs, prepares AutoCAD drawings, coordinates technical development and testing, obtains vendor quotes, issues purchase orders, and monitors project schedules, engineering hours, and material costs. Collaborates with multidisciplinary teams, customers, vendors, and installers to resolve issues and commission systems. Travel up to 20% is required for site measurements, equipment inventory, commissioning, and customer interaction.

Develop and improve live trading systems, research infrastructure, automated strategies, alpha-generation processes, and machine-learning research and simulation platforms. The role involves writing production software primarily in C++, solving complex algorithmic and numerical problems, designing distributed systems, working within large codebases, and deploying software used to analyze petabytes of data.

Develop and scale Lightning AI’s backend platform using Go, spanning APIs, infrastructure, billing, security, and integrations. Own features end to end, design reliable and scalable systems, improve architecture and performance, maintain software quality and continuous delivery, reduce technical debt, and mentor engineers. Collaborate with engineering, product, and design teams in a fast-changing SaaS environment.

Develop backend blockchain functionality for Cardax DEX on the Cardano blockchain. Write and maintain smart contracts in Plutarch and Haskell that define the constraints and conditions for decentralized token exchange without a central entity.

Develop and support enterprise applications using .NET technologies, including C#, ASP.NET, MVC, SQL Server, LINQ, WCF, Entity Framework, Web API, and XML. The role may involve designing enterprise applications, applying design patterns, and using application blocks. This is a full-time, permanent W2 position with benefits and telephone interviews.

Serves as a technical expert in process engineering, supporting manufacturing operations and improvement initiatives. Evaluates production problems, develops and updates work instructions and procedures, removes non-value-added process elements, creates CAD layouts to optimize workflow and material flow, resolves quality issues with supervisors, and participates in Kaizen and 5S continuous improvement events. The role involves working around manufacturing equipment, chemicals, vibration, and moving mechanical parts, with typical 10-hour workdays and possible overtime.

Serves as a technical expert in process engineering, supporting manufacturing process improvement and production operations. Responsibilities include solving production problems, developing and documenting processes and work instructions, eliminating non-value-added activities, creating CAD layouts, addressing quality issues, and participating in Lean and Kaizen events. The role works in a manufacturing environment with moving equipment, chemicals, vibration, extended workdays, and possible overtime.

Entry-level Applications Engineer in a structured mining equipment development program. Provides global technical and sales support through equipment sizing, troubleshooting, wear-life analysis, condition monitoring, system calculations, technical presentations, and marketing materials. Supports pricing, supply chain, inventory, sales, product development, and product launches. Requires full-time onsite work in Tucson and up to 30% global travel.

Maintain and improve the GutLab hardware fleet through inspection, repair, firmware updates, deployment preparation, and redeployment. Partner with laboratory and operations teams to troubleshoot electro-mechanical issues, document failures, investigate root causes, and implement fixes. Support next-generation hardware development from design through assembly, including mechanical design and performance iteration. This hands-on entry-level role requires adaptability, organization, strong communication, and enthusiasm for life sciences technology in a startup environment.

Build and operate research, backtesting, data, and execution infrastructure for quantitative researchers and traders. Responsibilities include productionizing research prototypes, maintaining shared datasets, optimizing numerical code, migrating pipelines to modern platforms, and developing model evaluation tools. The role requires strong Python, C++, statistics, software design, and scalable data pipeline experience, with preferred exposure to options trading, cloud or HPC platforms, Apache Iceberg, and high-volume market data.