Top Entry Level Linux Jobs in San Diego, CA

Build and deploy AI-powered marketing solutions for enterprise customers. Responsibilities include scoping technical requirements, developing proof-of-concepts, integrating customer marketing infrastructure, building data pipelines and custom functionality, deploying AI workflows, supporting customer success, and translating deployment insights into reusable product capabilities. The role requires close collaboration with sales, deployment strategists, engineering, product, and growth teams in an in-person San Francisco environment.

Seeking a web developer to build and maintain websites or web applications. The posting provides no additional details about responsibilities, qualifications, technologies, compensation, or work arrangements.

Build and improve operator and customer software using TypeScript, React, and Rust. Develop Electron application features, collaborate with product and vehicle engineers, and own features from requirements through testing, documentation, and post-release support. Contribute to full-stack product development involving data models, APIs, performance, and reliability. This junior role emphasizes learning quickly, communication, independent problem-solving, and practical software development experience.

Build simulation-based performance models and trace-replay tools for generative AI inference across accelerators, fabrics, racks, pods, and clusters. Model distributed execution, communication, networking, and serving strategies; run hardware calibration experiments; compare predictions with measurements; perform design-space analyses; and provide performance projections for architecture, product, and customer decisions.

Develops and maintains business application programs, independently makes programming decisions, implements projects, provides user support, monitors program performance, and modifies applications to improve efficiency or meet changing requirements. The role also documents applications, contributes to project planning, guides programmers, and shares business and technical knowledge with junior programming staff.

Supports orbit determination solutions, trajectory reconstruction, covariance analysis, tracking-data assessment, navigation products, and spacecraft maneuver planning. The role includes configuring estimation runs, reviewing residuals, checking coordinate and time-system accuracy, maintaining Python scripts and workflows, troubleshooting analyses, documenting results, and communicating findings to mission teams. Level II engineers independently execute routine analyses and support deep-space navigation operations. A bachelor’s degree, U.S. citizenship, Python knowledge, and foundational astrodynamics or estimation expertise are required.

Oversee pilot laboratory operations, monitor process performance, manage and analyze test data, author reports, and engineer, assemble, and maintain pilot plant equipment. The role also supports operational readiness, safety, continuous improvement, operator training, resource efficiency, and communication with pilot operations. This is a full-time, in-person position requiring physical laboratory work, equipment handling, PPE use, and occasional overtime.

Integrate and improve commercial robots for industrial autonomy. Design and fabricate mounts, fixtures, enclosures, retrofit kits, and end-effectors; integrate mechanical, electrical, sensing, compute, and power systems; diagnose faults; validate and document hardware; maintain lab systems; and support robot-cell safety. Candidates need practical mechatronics experience, CAD and fabrication skills, electrical troubleshooting ability, and documentation expertise. Experience with industrial robots, safety systems, teleoperation hardware, Python, ROS 2, or CAD-to-URDF workflows is beneficial.

Build, test, deploy, and maintain automated data integrations, APIs, and cloud-based pipelines. Develop scripts and services with JavaScript, TypeScript, Node.js, or Python; use Docker, GitHub Actions, infrastructure as code, and observability tools. Troubleshoot integration and deployment issues, secure partner data, document systems, and collaborate through code reviews and standups. This learning-focused role is designed for recent graduates developing platform engineering experience.

Develop, optimize, automate, and support bioinformatics pipelines in an on-premise HPC environment. Integrate pipelines with laboratory systems and Illumina, Oxford Nanopore, and PacBio sequencing instruments; troubleshoot genomic data movement and delivery issues; maintain technical infrastructure; and support increased workload from an LIS transition to Epic Beaker. Participate as a full member of an agile pipeline team while collaborating with bioinformatics specialists and customer stakeholders.