Software Engineer Jobs in Santa Ana, CA

Integrate, debug, deploy, and support autonomous wheeled robotic systems across federal and commercial programs. Build integration utilities and automated testing tools, improve software reliability, analyze system performance, collaborate across hardware and software domains, support customers in the field, and translate operational feedback into technical solutions. The role is fully onsite in Irvine, California and requires U.S. Person eligibility.

Design and implement a vehicle Diagnostics Tool for core products and R&D, including an Android tablet proof-of-concept. Interface with vehicles and End-of-Line teams, perform unit and hardware-level testing, troubleshoot and validate diagnostic functions, and ensure compliance with safety and software architecture standards.

Own and ship full‑stack production software across Compa’s web app and backend. Lead architecture and technical decisions, integrate ML/AI into data workflows, mentor through code review, and collaborate with Product and Design to build enterprise features and data pipelines.

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.

Lead ADAS firmware integration across ECUs, sensors, and vehicle platforms. Perform CPU/memory profiling, embedded Linux bring-up, network debugging (CAN, Ethernet, SOME/IP), develop test/automation frameworks in Python, support SIL/HIL and vehicle testing, and coordinate with external firmware partners to deliver production-ready software.

Validate and lead bench-level and HIL testing of CDC and ADCU ADAS systems for L2+ features. Develop black-box test methodology, automate test cases, simulate environments, and maintain rigorous test documentation and requirements traceability.

Leads design, development, maintenance, and modernization of mission-critical IBOR applications using COBOL and Java. Translates business requirements into technical solutions, performs analysis, design, coding, testing, implementation, troubleshooting, and performance tuning. Collaborates with architects, analysts, QA, and infrastructure teams; supports Agile delivery and production operations; reviews code and designs; mentors junior developers; and contributes to modernization roadmaps.

As a DevOps Engineer, you will design and maintain the infrastructure supporting CI/CD pipelines, work with container orchestration tools, and collaborate with engineering teams to improve development workflows.

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

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.

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.

Design and implement decision-making frameworks and LLM APIs for robotic autonomy, build semantic scene graph world models, and expand testing and validation with unit and integration tests to ensure safe, reliable autonomous systems.

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.

The role involves developing software using .NET technologies, collaborating with teams, performing coding tasks, participating in Agile practices, and ensuring quality work delivery.

The role involves developing software using Microsoft .NET technologies, interpreting requirements, participating in Agile processes, and performing testing/quality assurance.

The Junior Software Engineer will develop and maintain software applications, conduct testing, mentor junior team members, and ensure high code quality 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.

Develop and optimize large-scale point-cloud processing pipelines (registration, denoising, segmentation, primitive extraction); design efficient 3D algorithms focused on memory and runtime; implement production-grade computational geometry and linear algebra in C++ and Python; solve reconstruction challenges (loop closure, global consistency, multi-view fusion); evaluate and integrate emerging 3D vision methods and work with platform teams for scalable deployment.