Top Linux Jobs in San Diego, CA

Provides quality engineering support for FDA-regulated manufacturing, including nonconformance investigations, root-cause analysis, CAPA, risk assessments, validation, quality systems, audits, calibration, and continuous improvement. The role analyzes quality metrics, develops specifications, supports regulatory compliance, evaluates process changes, and collaborates with Quality, Operations, Engineering, and suppliers to improve product and process performance.

Creates, revises, and maintains production-ready electrical drawings, schematics, wiring diagrams, panel layouts, BOMs, and technical documentation. Reviews drawing accuracy, manages revisions and document control, supports manufacturing and project execution, and collaborates with engineering, production, sales, and project teams. The role also provides technical clarification, maintains templates and component libraries, resolves documentation issues, and supports continuous improvement. Experience with electrical assemblies, control panels, manufacturing documentation, ERP systems, and applicable standards is preferred.

Designs and supports robotic palletizing systems and automated equipment, including mechanical and electromechanical designs, tooling, conveyors, layouts, BOMs, and technical documentation. Evaluates feasibility, leads risk assessments and R&D, and ensures safety and quality standards. Collaborates with project, electrical, manufacturing, sales, and service teams while providing technical support, troubleshooting, and vendor coordination.

Design and optimize high-performance AI compute kernels for GEMM, attention, normalization, convolution, and related primitives. Improve throughput, latency, memory behavior, and precision across heterogeneous hardware. Integrate kernels with Triton and PyTorch, profile workloads using performance tools, evaluate mixed-precision formats, and collaborate with compiler, runtime, and hardware teams on ISA and memory architecture co-design.

Build and maintain high-quality React Native mobile applications using TypeScript. Integrate with backend services, write tests and secure code, contribute to CI/CD pipelines, troubleshoot production issues, and collaborate with product, design and engineering to deliver scalable investing experiences used by millions.

Lead technical delivery of high-performance kdb+ solutions for financial institutions. Design and scale architectures handling billions of time-series data rows, collaborate with quants and traders, maintain the full development lifecycle, and mentor engineers. The role requires deep q and kdb+ expertise, Unix/Linux proficiency, capital markets experience, and strong technical leadership.

Build and operate reliable, scalable cloud infrastructure for AI workflows, advertising operations, and data systems. Responsibilities include designing asynchronous and event-driven systems, maintaining CI/CD and infrastructure automation, improving observability, security, performance, and cost efficiency, and leading incident response and disaster recovery. The role partners across engineering and product teams on capacity planning, reliability, troubleshooting, and post-incident improvements.

Performs manual and automated quality assurance testing for aerospace business applications and data solutions. Responsibilities include regression, functional, integration, and change-request testing; writing SQL queries to validate data; creating test cases and evidence in Zephyr; documenting and tracking defects; investigating unexpected results; and communicating quality risks and metrics. The role collaborates with technical and business stakeholders in an Agile environment and supports expanding automation, potentially using Tricentis Tosca.

Lead frontend-focused full-stack development for a neurotechnology platform controlling brain stimulators, managing patient data, visualizing real-time 3D data, integrating APIs, syncing cloud systems, and improving user experience. The role involves React and React Native frontend work, Python or Node.js backend development, team growth and mentorship, and collaboration on secure, scalable healthcare applications.

Build and operate reliable, scalable production systems for Timescapes. Responsibilities include improving availability, observability, incident response, cloud infrastructure, deployment automation, and operational readiness. The role also architects ML platforms supporting data preparation, training, deployment, monitoring, and iteration, while applying AI to engineering operations. The engineer partners across Software, AI, Product, and Hardware teams to balance reliability, security, scalability, developer experience, and cost.