Top Entry Level Linux Jobs in San Diego, CA

Build responsive Bubble.io applications for startup clients, collaborate with product managers and designers, refine requirements, test tools and assumptions, communicate with clients weekly, and contribute reusable components and tutorials to the internal library. The role offers autonomy, client exposure, and opportunities to advance into technical leadership or product management.

Looking for a Founding Software Engineer to develop and implement software products for industrial automation, focusing on modern technology integration with manufacturing processes.

Own and scale Salient’s production telephony platform, including SIP infrastructure, Asterisk, call servers, audio and dialing layers, Kubernetes deployments, observability, security, and customer integrations. Responsibilities include completing migration work, ensuring reliability, supporting zero-downtime deployments, capacity planning for high call volumes, implementing failover and self-recovery, integrating SIP trunks and contact-center platforms, and developing self-service configuration tools. The role requires deep SIP, SDP, RTP, networking, real-time media, and production operations expertise.

Designs, develops, tests, and implements Microsoft Power Platform solutions for clients. Builds Power Apps using Dataverse, Power Automate, SharePoint, Excel, and Forms; creates Power BI analytics with Power Query and DAX; designs data models; integrates systems; modernizes legacy applications; troubleshoots and optimizes solutions; and communicates requirements, designs, progress, and documentation to clients and project teams.

Own supplier coordination, BOM management, material planning, manufacturing readiness, and program dependencies across hardware programs. Design, deploy, maintain, and troubleshoot automated test equipment, production fixtures, programming stations, sensor systems, and custom manufacturing hardware. Collaborate with electrical, mechanical, firmware, software, contract manufacturing, and supply-chain teams to resolve sourcing risks, engineering changes, production issues, and automation challenges from prototype through volume manufacturing.

Build and own software connecting robots to customer businesses, including teleoperation and fleet management interfaces, task scheduling and dispatch, customer system integrations, performance dashboards, and mobile and web tools. The role involves working directly with on-site operators, designing real-time systems, and iterating quickly based on field usage.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Develop and maintain full-stack applications using Java, Spring Boot, Angular, and/or React. Build secure REST APIs, microservices, and cloud-native applications across AWS and Azure. Collaborate in Agile and DevSecOps teams, supporting application modernization, integration, testing, CI/CD, performance optimization, production deployments, and secure development practices for federal systems.

Lead hands-on verification for complex networking ASICs from strategy and test planning through coverage closure and tape-out. Develop SystemVerilog/UVM environments, testbenches, sequences, checkers, scoreboards, and constrained-random tests. Debug RTL and simulation failures, drive functional/code/assertion coverage, and collaborate with architecture, RTL, physical design, firmware, emulation, and silicon teams. Establish quality gates, manage verification risks, support full-chip validation, and ensure tape-out and post-silicon readiness.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.