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Principal Engineer – Embedded Systems & Security

Job in Irvine, Orange County, California, 92713, USA
Listing for: Karma Automotive
Full Time position
Listed on 2026-09-13
Job specializations:
  • Software Development
Salary/Wage Range or Industry Benchmark: 185000 - 230000 USD Yearly USD 185000.00 230000.00 YEAR
Job Description & How to Apply Below

Brief Description Principal Engineer - Embedded Systems & Security

We are seeking an experienced Principal Engineer – Embedded Systems & Security to join our automotive engineering organization. The ideal candidate will have deep expertise in both cloud-based microservices architectures and embedded automotive systems, with a strong understanding of functional safety (ISO 26262) and an emphasis on cybersecurity (ISO 21434) standards.

This role bridges vehicle-side embedded control systems with cloud and edge computing services, helping define and implement next-generation Software-Defined Vehicle (SDV) architectures.

The ideal candidate combines strong technical expertise with experience in software development environments, particularly within the automotive sector, and has a solid understanding of A-SPICE and Agile methodologies.

  • Be part of an innovative team shaping the next generation of Software-Defined Vehicles.
  • Work across the full vehicle software stack—from embedded ECUs to cloud infrastructure.
  • Collaborate with industry-leading experts in automotive architecture, AI/ML, and cloud systems.
Responsibilities (include, but are not limited to):
  • Ensure architectural alignment with ISO 21434 cybersecurity principles
  • Lead cybersecurity initiatives, own the cybersecurity management system
  • Define and evolve the end-to-end software architecture across vehicle and cloud platforms, covering edge devices, embedded ECUs, zone controllers, and cloud services.
  • Design and guide implementation of microservice-based architectures for data analytics, OTA (Over-the-Air) updates, diagnostics, and connected vehicle features.
  • Collaborate with hardware, systems, and software teams to ensure scalable, modular, and safe system integration.
  • Lead architecture reviews and define software interfaces, service APIs, and communication protocols (e.g., SOME/IP, DDS, MQTT, REST/gRPC).
  • Mentor cross-functional engineering teams on architecture best practices, design patterns, and code quality standards.
  • Evaluate and integrate third-party technologies, frameworks, and tool chains to improve platform capabilities.
  • Support model-based system design, safety analysis, and traceability of requirements to implementation.
  • Other duties, as assigned.
Qualifications:

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
  • 10+ years of experience in software architecture or systems engineering within automotive or embedded domains.
  • Proven experience in both cloud-native software development (microservices, containers, Kubernetes, CI/CD pipelines, RESTful APIs) and low-level embedded development (C/C++, AUTOSAR, RTOS, bootloaders, CAN/Ethernet).
  • Strong understanding of distributed systems, data communication protocols, and service discovery.
  • Hands-on experience designing or validating safety-critical systems under ISO 26262 (ASIL-B or higher).
  • Formal training in ISO 21434 or equivalent cybersecurity frameworks for connected vehicles.
  • Experience with Dev Ops, container orchestration, and secure software deployment pipelines.
  • Proficiency in multiple programming languages (e.g., C, C++, Python, Java, Rust, or Go).
Preferred Qualifications (In Addition To Required)
  • 3+ years leading cybersecurity architecture and process practices with adherence to U.N. R155/R156
  • Experience with zonal architectures, service-oriented automotive platforms, or vehicle-cloud synchronization.
  • Familiarity with AWS, Azure, or Google Cloud automotive solutions.
  • Understanding of vehicle diagnostics (UDS/DoIP), OTA update frameworks, and data logging/telemetry systems.
  • Knowledge of AUTOSAR Adaptive, ASIL decomposition strategies, and cybersecurity threat modeling.
  • Experience with Simulink, Model-Based Systems Engineering…
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