Top Linux Jobs in San Diego, CA

Own RTL-to-GDS physical implementation for high-performance SoC and chiplet designs, including synthesis, floorplanning, placement and routing, clock tree synthesis, timing and power closure, EM/IR analysis, physical design validation, DRC, LVS, and final signoff. Collaborate with microarchitects on performance, power, and area trade-offs, conduct feasibility studies, and develop physical design methodologies and automation recipes.

Leads solution architecture and application delivery for digital transformation initiatives. Translates business strategy and requirements into architectural blueprints, evaluates technologies, guides solution design, governs architecture standards, and oversees vendor delivery. Collaborates with IT teams, developers, product owners, and the PMO to deliver business outcomes. Requires experience with financial-industry systems, Odessa or SAP Finance, cloud platforms, databases, APIs, enterprise architecture, and software development methodologies.

Designs and maintains Microsoft Azure infrastructure, Terraform-based Infrastructure as Code, and GitHub Actions CI/CD pipelines. Implements cloud security controls, monitoring, automation, containerization, and deployment reliability practices. Troubleshoots infrastructure and networking issues, supports production systems through an on-call rotation, documents operational procedures, and collaborates with development, QA, and security teams. The role is hybrid in Salt Lake City and includes occasional travel under 5%.

Designs, deploys, secures, monitors, and supports enterprise LAN, WAN, wireless, voice, firewall, DNS, and Internet connectivity across school campuses and offices. Configures Cisco and Arista routing and switching, Ruckus wireless, and Palo Alto firewalls; manages upgrades, backups, monitoring, troubleshooting, documentation, vendors, and network projects. Provides outage response, incident resolution, leadership reporting, junior team mentorship, and after-hours maintenance or on-call support.

Develops and improves manufacturing processes, equipment, tooling, and automation to maximize production throughput and reliability. Evaluates equipment and vendors, prepares investment proposals, oversees installations and modifications, maintains process documentation, and trains operators. Supports CNC, forging, powdered metal, quality, safety, control planning, PFMEA, GD&T, and manufacturing readiness activities.

Own and improve a multi-account AWS platform, including networking, security, certificates, file delivery, CI/CD, infrastructure as code, workflow automation, monitoring, incident response, and cost compliance. The role manages production changes, documents systems and runbooks, supports development deployments, troubleshoots scheduled data workflows, automates repetitive tasks, and coaches junior engineers. It requires strong AWS, Linux, Terraform, scripting, security, deployment, and operational communication skills.

Design and implement low-level systems software for fault-tolerant, high-performance distributed GPU training. Modify GPU frameworks and runtimes, build reliable large-scale training components, debug complex concurrent and distributed systems, and own solutions from design through production. The role requires strong systems programming, concurrency and memory-model expertise, distributed-systems reasoning, and the ability to navigate large codebases. GPU programming, high-performance networking, ML runtimes, and cluster orchestration are preferred.

Measures and improves product flow through distribution center operations, develops labor standards, conducts time studies and audits, tracks warehouse and transportation KPIs, facilitates Lean events, analyzes cost-reduction opportunities, and trains operations and management staff. The role partners with distribution leadership and supply chain teams to improve productivity, accuracy, labor efficiency, and operational methods.

Design, build, and scale backend services, cloud infrastructure, databases, and service architectures. Own features end to end with a focus on customer value, performance, security, RBAC, scalable storage, and high-quality product delivery. Collaborate across disciplines as an early employee while learning new technologies and helping shape company culture.

Lead the design, development, deployment, and operation of production-grade full-stack applications for investment and distribution teams. Build Python backend services, APIs, relational database integrations, and React-based interfaces. Embed and productionize AI and machine learning capabilities, use cloud infrastructure and modern DevOps practices, and establish engineering standards through testing and reviews. Collaborate with engineers, data specialists, and financial-services stakeholders to deliver scalable, data-driven solutions.