Top Entry Level Linux Jobs in San Diego, CA

Analyze and improve manufacturing processes to reduce costs, waste, cycle time, and quality issues. Lead Lean and productivity improvement projects, evaluate engineering data, implement safety and work-method changes, and educate teams on process improvement. Collaborate on new products and technologies, resolve quality issues, coordinate plant layouts and equipment installations, and manage projects within budget and schedule.

Design and manufacture composite parts at scale, including completing DFM, developing production tooling, testing parts, and improving factory processes toward automation. Collaborate with customers and software engineers to translate manufacturing constraints into Helicon’s supply-chain, quoting, pricing, and simulation platform. The role requires hands-on composite manufacturing experience, particularly with high-volume processes and hydraulic presses.

Tenure-track faculty member responsible for developing a productive digital systems research program, teaching undergraduate and graduate electrical and computer engineering courses, mentoring students, contributing to curriculum development, and providing departmental, university, and professional service. Research areas may include embedded and cyber-physical systems, computer architecture, digital IC design, SoCs, AI hardware, robotics, automation, and secure or trustworthy systems.

Build code, integrations, documentation, benchmarks, and reference implementations for a macOS and Apple Silicon compute platform. Operate workloads, debug issues across application and infrastructure layers, support developers, improve tooling and products, and represent developer needs internally. The role also involves technical writing, workshops, open-source engagement, performance analysis, and collaboration across platform, networking, fleet, product, and engineering teams.

Build and operate CrewAI’s cloud and enterprise infrastructure across AWS, Azure, and GCP. Develop CI/CD pipelines, deployment automation, observability, security controls, self-hosted installation tooling, and reliability processes. Support containers, Kubernetes, databases, queues, networking, secrets, and production workloads. Participate in incident response and on-call operations while partnering with runtime and product engineering teams to improve deployment safety, scalability, and customer production environments.

Supports PLC and HMI programming, testing, simulation, documentation, troubleshooting, and commissioning under direct supervision. The role assists engineering and field service teams, updates control-system records, reviews wiring diagrams and schematics, and develops foundational automation programming skills.

Two-year rotational program for graduating students to design, build, and enhance web, mobile, and backend applications. Work includes cloud and API-based full-stack development, Agile delivery, technical capstones, hackathons, cross-functional collaboration, and mentorship across three eight-month rotations.

Build simulation and modeling infrastructure for AI inference accelerators before silicon availability. Develop analytical performance models, functional and timing simulators, virtual platforms, and software integrations. Validate functionality and performance against reference implementations and hardware, improve simulator speed and usability, and create automated regression coverage. Collaborate with hardware, compiler, firmware, runtime, performance, and test engineers to support architecture exploration and realistic software workloads.

Own the technical systems supporting customer acquisition and growth, including conversion tracking, attribution, integrations, funnel experiments, analytics, and internal automation. Build website experiences in TypeScript and React, analyze funnels and cohorts with SQL and PostHog, reconcile marketing and billing data, and run statistically sound experiments. Partner with marketing and product teams, maintain reliable event instrumentation, document decisions, test releases, and monitor production systems.

Build and operate highly available AWS and Kubernetes infrastructure, maintain Infrastructure as Code, improve CI/CD and GitOps workflows, and automate operational tasks. Troubleshoot production issues across applications, containers, networking, and cloud infrastructure while improving observability, reliability, security, performance, and cost efficiency. Partner with development and data teams, participate in incident response, document solutions, mentor teammates, and use AI engineering tools responsibly to accelerate development and operations.