Software Engineer Jobs in Irvine, CA

Lead architecture and development of scalable, secure cloud backend services. Drive cloud-native adoption, performance optimization, infrastructure automation, and mentoring of engineers. Integrate with cross-functional teams, own complex technical problem-solving, conduct code reviews, and implement security best practices.

Design and build cloud-native storage platforms and reusable infrastructure components for distributed databases. Automate provisioning, CI/CD, and operational workflows with Terraform and Ansible. Work with DBAs to optimize storage, performance, backup/recovery, and observability for large-scale distributed data systems.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.

Lead design, development, and maintenance of global corporate and product web applications. Drive architecture, best practices, and mentoring. Build responsive frontends with modern JS frameworks and backend services in PHP, Go, or Java. Integrate CMS, third-party APIs, cloud platforms, and AI-powered tools while optimizing SEO, performance, and accessibility.

Design and build scalable full-stack web applications, develop backend services with Node.js and Python, and create responsive frontends with React. Collaborate with cross-functional teams to deliver customer-facing features and improve system performance.

Develop and maintain a user-space runtime that enables production ECU firmware to run on workstations and cloud servers. Model peripherals, integrate RTOS-based firmware with host abstractions, maintain cross-compilation builds, and extend HIL Pytest validation suites. Debug firmware-host discrepancies using GDB and protocol analysis, collaborate across hardware and software teams, lead design reviews, improve code quality, and mentor engineers on real-time embedded development.

Architect and build the robotics platform enabling FieldAI autonomy systems to run reliably across diverse robots and hardware. Define versioned APIs, robot capability and intent models, middleware, runtime infrastructure, and high-performance data flows. Own latency, throughput, reliability, profiling, tracing, simulation, cloud connectivity, and deployment on physical hardware. Collaborate across autonomy, hardware, infrastructure, and deployment teams while setting technical direction and mentoring engineers.

Develop and optimize mapping and localization systems for robots, improve accuracy and performance of point cloud processing, and support collaborative efforts across robotics teams.

Develop embedded software and firmware for networking layers in switches and related controller or sensor systems. The role requires extensive Embedded Linux, RTOS, bare-metal, C/C++, and Layer 2/3/4 networking experience. Experience in software-defined radios, modem design, automotive or avionics, AI, or space products is also relevant. Yocto and PetaLinux are preferred. This is a long-term contract with potential conversion to permanent employment in Southern California.

The Software Engineer, Test Infrastructure will design and develop scalable test infrastructure, improve software quality, and automate testing processes for robotics platforms.

Develop complex C++ and Java applications with multimedia streaming (RTP/RTSP), build Android applications/services, work on Linux, participate across the software development lifecycle, troubleshoot issues, measure performance, and use scripting for automation and tooling.

Design and document comprehensive test cases for battery and energy management systems; perform SIL, HIL, and vehicle-level validation; analyze CAN/LIN/Ethernet telemetry; collaborate with embedded engineers to debug, calibrate, and validate BMS features; plan and coordinate test assets and environmental testing.

As a Robotics Software Engineer - Robot Integrations, you'll integrate new robotic platforms, develop robot drivers, and ensure system performance in various environments.

Lead development, support, and migration efforts for Siebel and Call Center systems, delivering enhancements, troubleshooting production incidents, coordinating vendors and stakeholders, and contributing to Siebel-to-Salesforce migration and enterprise modernization initiatives.

As a Principal Software Engineer, you'll design, develop, and implement complex systems, manage projects, mentor junior engineers, and engage in Agile practices.

Develop platform-level embedded software and functional safety components for automotive systems. Implement software safety requirements using C, microcontrollers, RTOS, multithreaded and multicore architectures. Evaluate safety concepts and analyses including FMEDA, FTA, and DFA; create verification and validation methods; support subsystem testing; and document safety activities. Collaborate across software, hardware, mechanical, systems, and manufacturing teams to advance safety-critical products from research and development through production.

Design and develop scalable full-stack applications using various technologies, collaborate with teams, and optimize performance in robotics AI systems.

Lead development of testing and validation for field-ready AI and robotics systems. Design automated test frameworks, validate reliability and risk-aware behavior, collaborate with engineering to improve models through real-world deployments, and ensure robust, production-quality software for robots operating in the field.

Build and maintain CI/CD pipelines and cloud-native, containerized infrastructure (Kubernetes/Docker) for robotics and AI systems. Deploy and support workloads across cloud and edge, improve developer workflows through automation, and collaborate with robotics, ML, and platform teams to ensure reliability, observability, and scalable deployments for distributed robotic systems.

Design, build, and maintain production data pipelines and infrastructure for robot telemetry, logs, sensor data, and events. Implement ingestion, transformation, and orchestration (Airflow), backend services/APIs, and AWS-based storage/processing. Improve reliability with monitoring, retries, schema validation, and data quality checks. Collaborate with robotics, ML, and deployment teams to scale data systems for fleet operations.

Build and maintain Back of House data delivery and related BOH projects using AWS serverless technologies. Write code and unit tests, collaborate with SRE/QE/security/product teams across Yum! Brands, document data flows, and improve tooling and processes to increase restaurant operational efficiency and data integrations.

Design, develop, and maintain embedded Linux software including device drivers and kernel modules. Build video processing, encoding, and streaming applications, implement APIs/protocols, manage CI/CD and containerization, debug and optimize system performance, and collaborate across teams.

Develop and deliver scalable, distributed SaaS features for a clinical-trial software platform. Responsibilities include architecture and hands-on development, engineering best practices, technology innovation, cross-service and AI-powered feature integration, real-time systems, customer-focused product delivery, and mentoring software engineers. The role collaborates closely with a fast-moving team and contributes to the product roadmap.

The Senior Software Engineer will develop complex multimedia applications in Java and C++ for Android, contributing throughout the software development lifecycle in an agile environment.

The MLOps Engineer will design and maintain infrastructure for machine learning systems in robotics, focusing on deployment, monitoring, and optimization of ML workflows.