Top Linux Jobs in San Diego, CA

As a Machine Learning Engineer, you'll design and implement distributed systems for training large-scale ML models while optimizing performance under challenging conditions.

Architect and build scalable full-stack systems using TypeScript and multiple databases (SQL, MongoDB, Redis). Design server-side logic, APIs, and responsive front ends, deploy to cloud using containerization, mentor engineers, collaborate with product and design, and drive technical direction for an AI-powered sales product.

Lead modernization of operational data store, implementing data transfer methodologies, leveraging AI for migration and reconciliation, and collaborating across teams.

Perform software functionality and integration testing for SONiC, along with verifying BIOS/UEFI and BMC functions. Develop automation testing software and design CICD workflows.

The RTL Design Tech Lead will manage RTL design for ASIC/SoC projects, lead a team of engineers, ensure high design quality, and drive projects from architecture to tapeout.

Develop, integrate, and analyze enterprise applications in finance systems using Workday technologies. Collaborate with stakeholders to enhance software functionality and maintain application security.

Design, implement, and maintain production firmware for robotic systems using C/C++ or Rust. Develop real-time control loops, integrate sensors and actuators, manage microcontroller peripherals, and implement embedded communication protocols. Collaborate with electrical engineers on board bring-up and hardware-software interfaces. Build validation tooling, debug hardware/software interactions, and support field deployment.

Lead mechanical engineering for aerospace hydraulic valves and actuation systems: drive design, trade studies, analysis, testing, standards compliance, and cross-project technical oversight. Provide customer-facing technical leadership, support safety analyses (SHA, FMEA, FTA), use FEA/DFSS methods, and mentor/coordinate multi-engineer efforts to deliver flight control products.

Design and prototype rugged electromechanical systems for heavy machinery, collaborating with teams to ensure reliable performance in extreme conditions.

Customer-facing role to deploy, integrate, and operationalize an AI orchestration platform in enterprise healthcare environments. Build and manage cloud infrastructure and Kubernetes clusters, develop IaC and CI/CD pipelines, configure AI components and RAG pipelines, deploy customer-specific AI use cases, monitor performance, and collaborate with product and engineering teams to improve reliability and scalability.