Top Linux Jobs in San Diego, CA

Design and lead software architecture across the SDLC, enforce standards and patterns, perform code reviews, lead POCs and design sessions, mentor developers, support deployments, and participate in planning and incident resolution.

Provide first- and second-level technical support for desktop systems, applications, mobile devices, and peripherals; handle password resets, file restorations, security and network issues; participate in projects, deployments, training, and occasional after-hours/on-call work.

The C++/CUDA Signal Processing Engineer develops algorithms for signal processing, collaborates on simulations, prepares reports, and manages code quality.

Lead and grow a software engineering team to design, build, and operate scalable web and backend systems for a high-traffic DTC eCommerce platform. Drive architecture, hiring, delivery, best practices (testing, CI/CD, code review, observability), stakeholder collaboration, and engineer career development while balancing hands-on technical contributions and operational excellence.

Support on-road vehicle durability testing by maintaining customer fleets, performing software flashes and hardware swaps, using manufacturer diagnostic tools, implementing updates, recalibrating offline modules, documenting changes, and following safety procedures.

Design, build, and deploy full stack web and mobile applications. Collaborate via GitLab, implement RESTful APIs, work with Python/SQL back-ends, leverage AWS services (S3, Lambda), research transportation solutions, meet tight deadlines, and contribute to product innovation and production deployments.

Lead full-stack engineering for enterprise-grade HR platforms, ensuring compliance, data governance, and technical integration alongside design and system architecture responsibilities.

As a Senior Hardware Engineer, you will define processor architecture, implement microarchitecture in SystemC/SystemVerilog, and optimize PPA across design cycles.

This role focuses on enhancing developer productivity for Hightouch's engineering team by owning the build/test/deploy processes, improving multi-cloud infrastructure, and driving excellence in testing.

The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.