Top Entry Level Linux Jobs in San Diego, CA

The job description provides no specific responsibilities or qualifications beyond the Modeling and Simulation Engineer title. The role likely involves engineering work related to modeling and simulation, but no further details are provided.

Perform manual and functional testing throughout the software development lifecycle. Create and execute test cases, identify and document defects, validate fixes, conduct regression testing, review test coverage, and test APIs and cloud integrations. Collaborate with developers and the Product Owner in Agile/Scrum workflows, maintain technical QA documentation, and evaluate cybersecurity-related product behavior. The role is fully remote within a lean product team developing a new software capability.

Plans, designs, and supports the execution of formwork and shoring solutions for construction projects. Collaborates with clients, project managers, engineers, architects, and construction teams; creates drawings, models, and calculations; selects materials; ensures compliance with codes and safety standards; provides technical guidance; and monitors project progress, risks, and corrective actions.

Build and evolve Restate’s durable execution runtime, focusing on distributed systems, state management, storage, messaging, concurrency, fault tolerance, performance, and reliability. Design, test, operate, and improve production-scale backend infrastructure; diagnose complex systems issues; develop integrations and tooling; collaborate with production users; and contribute to architecture, observability, documentation, and engineering practices.

Designs and executes manual and automated tests for NVIDIA networking switch software and firmware. Reviews requirements, maintains lab infrastructure, develops test automation, performs regression, performance, functional, and security testing, reports and reproduces defects, verifies fixes, and tracks release quality. Requires knowledge of QA methodologies, network switch configuration, Linux administration, engineering lab environments, and software release workflows. Python or other scripting experience is preferred.

Leads electrochemistry research and development for lithium-ion battery cells, including materials evaluation, cell architecture studies, degradation analysis, experimental design, and electrochemical testing. Builds data and analysis infrastructure, investigates quality and yield issues, supports equipment commissioning, and translates findings into production-ready cell designs and processes. Collaborates with manufacturing, engineering, quality, supply chain, suppliers, and academic partners to improve cell performance, safety, lifetime, and manufacturing stability.

Manages onsite maintenance and service delivery for a customer’s mission-critical land mobile radio communications system. Coordinates Motorola service providers, vendors, infrastructure maintenance, emergency repairs, upgrades, testing, system performance reporting, SOP development, and issue escalation. Maintains service records, monitors availability metrics, supports continuous improvement, collaborates with customers and engineers on system changes, and identifies opportunities for additional services.

Serves as the plant engineering authority for wheel alignment and headlight aim processes. Analyzes statistical process and audit data, resolves assembly and quality issues, performs root-cause analysis, develops corrective actions, establishes calibration and equipment standards, and drives continuous improvement. The role partners with maintenance, production, and engineering teams to improve process flow, quality, and equipment availability while maintaining engineering documentation and change control.

Architect and support multi-cloud infrastructure, primarily on GCP and Vertex AI with Azure integration. Design enterprise AI platforms, including generative AI, RAG, fine-tuning, and agentic workflows. Establish infrastructure-as-code, security, IAM, governance, MLOps, migration, monitoring, and FinOps standards. Document architectures, review deployments, collaborate across engineering and data science teams, and mentor staff on cloud best practices.

Leads test automation strategy, quality standards, metrics, and test coverage improvements. Develops automated testing for cloud environments, coordinates test planning and execution, and removes delivery blockers. Requires expertise in cloud services, system and network administration, infrastructure automation, programming, continuous integration, and application integration protocols.