Top Linux Jobs in San Diego, CA

The Project Engineer I will support large-scale industrial construction projects by learning project control functions, estimation, purchasing tasks, and participating in safety audits and risk management training while gaining experience in various departmental functions.

Own and modernize the build-and-test platform for a large TypeScript, React, and Go monorepo. Lead Bazel modernization, improve incremental builds, caching, test parallelism, observability, and CI speed and reliability. Build hermetic, reproducible, sandboxed environments and ephemeral branch-based stacks. Own testing across unit, integration, browser, and visual layers, including flake detection, quarantine, merge signals, and agent-ready development workflows.

Own the end-to-end architecture of NetBrain’s AWS-based SaaS platform. Define multi-tenant design, infrastructure as code, Kubernetes orchestration, event-driven messaging, persistence, observability, security, and compliance strategies. Lead architecture across engineering teams, produce ADRs and standards, mentor senior engineers, and communicate technical tradeoffs to product and executive stakeholders. The role requires extensive AWS and SaaS architecture experience, including transitioning products from on-premises or private cloud to public SaaS.

Characterize inertial and environmental sensors for AR/VR and wearable hardware. Define and execute benchtop tests, analyze bias, drift, noise, scale factor, sensitivity, cross-axis coupling, and temperature dependence, perform Allan variance and rate-table testing, develop calibration routines, automate measurements with MATLAB and Python, and produce reports supporting hardware and firmware decisions.

Conduct laboratory research and fundamental studies to develop improved refractory products, processes, and methods. Plan and evaluate plant and field trials, document findings, provide technical knowledge across functions, review and submit patents, publish technical materials, present at professional meetings, develop customer solutions, and support ISO 9001 and continuous improvement initiatives.

Lead the design, implementation, and operation of Carefeed’s AWS cloud infrastructure. Build and maintain CI/CD pipelines, standardize logging, alerting, and observability tools, respond to production incidents, improve system reliability, and guide infrastructure and developer tooling practices. Collaborate with engineering, product, and business operations teams while owning complex infrastructure initiatives independently.

Build and maintain full-stack analytics and data visualization products, contributing to architecture, APIs, data pipelines, query optimization, front-end experiences, and AI/ML capabilities. Own initiatives from concept through production, improve reliability and performance, collaborate with product and UX teams, contribute to CI/CD, mentor engineers, and establish technical standards across the organization.

Leads a controls support engineering team responsible for post-commissioned warehouse automation systems. Oversees technical issue resolution, escalations, resource allocation, documentation, system reliability, and customer satisfaction. Develops measurable cross-training programs across multiple controls platforms, tracks capability progress through KPIs and skills matrices, and mentors team members. Collaborates with software, mechanical, and site operations teams to improve system performance and support processes.

Supports reverse engineering, troubleshooting, repair, testing, and modernization of electronic assemblies and circuit boards. Uses laboratory equipment to diagnose failures, performs PCB rework, develops test fixtures, and assists with embedded firmware and hardware integration. Works with displays, microcontrollers, communication protocols, replacement components, and technical documentation. Collaborates with engineering, production, quality, supply chain, and repair teams. Occasional travel may support supplier visits, field testing, product evaluation, or technical assistance.

Serve as the primary technical resource for enterprise manufacturing accounts, designing and deploying integrations between Oden and factory systems. Build connector libraries, configure AI and ML solutions, troubleshoot distributed systems and data pipelines, analyze large datasets, and support customer deployments. Partner with customers, Data Science, Product, and Engineering teams to manage technical risks, improve platform capabilities, and document repeatable implementation practices. Travel to customer sites approximately 25–40%.