Top Remote Linux Jobs in San Diego, CA

Lead and ship native iOS and Android apps: set technical roadmap, enforce testing and quality standards, manage CI/CD and store releases, mentor engineers, use AI-assisted development, and respond to mobile production incidents.

As a Senior FPGA Verification Engineer, you will architect and develop test benches, verify code functionality, and prepare design review materials.

Lead and modernize global endpoint engineering across Windows, macOS, ChromeOS and VDI/DaaS platforms. Own OS/image lifecycle, endpoint configuration/hardening, Intune/Autopilot and SCCM co-management, VDI performance, and endpoint security controls. Partner with Security, Risk, and Desktop Operations for audit readiness, telemetry-driven improvements, and scalable production rollout.

Research and develop techniques to GPU-accelerate high performance databases and ETL applications, optimizing complex data workloads for better performance.

Lead a team of performance engineers to optimize complex workloads on NVIDIA's CPUs and GPUs, driving technical excellence and innovation while mentoring team members and collaborating with cross-functional partners.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Execute manual and automated test plans across web and mobile, validate front- and back-end functionality, run smoke/functional/regression and end-to-end tests, support API and connector testing, coordinate UAT, lead QA for multiple Agile teams, improve test automation and processes, analyze defects, and drive continuous QA improvements.

Design, deploy, and optimize secure, scalable AWS environments. Lead migrations, build Infrastructure as Code (Terraform/CloudFormation/Ansible), apply FedRAMP/NIST security controls, manage cost/performance, operate containerized apps (ECS/EKS/Docker), integrate CI/CD pipelines, and lead stakeholder technical discussions to align cloud solutions with mission goals.

Design, integrate, and maintain secure, resilient hybrid and multi-cloud network architectures. Lead cloud networking, automation (IaC), SDN, monitoring, and disaster recovery efforts while supporting CI/CD and cross-functional teams to modernize enterprise connectivity.

Design, implement, and manage secure, scalable Microsoft Azure architectures; lead migrations and Azure governance; build IaC (Terraform, Bicep, ARM, Ansible); apply Azure security and compliance (FedRAMP, NIST 800-53); operate AKS container environments; integrate Azure with DevOps/CI-CD pipelines; optimize cost, monitoring, and performance; lead technical design sessions with stakeholders.

Support field metrology issue resolution, coordinate factory-to-field technology transfer, develop training and collateral, work with R&D on product definition, risk assessment, modeling, and process characterization, and manage project schedules to ensure timely delivery.

Manage and retain a team of engineers; oversee design, development and implementation of multiple projects; collaborate with architects and product managers; enforce engineering best practices, mitigate risks, ensure incremental releases and quality, and stay current on engineering technologies and trends.

Lead design, development, and commissioning of SCADA/BMS/EPMS for data centers. Develop architectures, program PLCs/SCADA/HMIs, create SOOs/P&IDs, mentor engineers, and support FAT, construction, and commissioning across US and Europe.

Deploy, validate, and support data center network infrastructure: configure switches, install and test optics and fiber (OTDR/insertion loss), manage hardware logistics, maintain as-builts/cutsheets, and collaborate with cross-functional teams to drive on-site deployments and post-deployment incident response. Frequent travel for onsite turn-ups.

Lead design and build of read/write EHR integrations using FHIR/HL7/C-CDA, deliver clinical notifications into provider workflows, apply AI to extract and route unstructured data, support payer and partner data flows, and implement monitoring, error-handling, and documentation to scale integrations.