Define and maintain IDS requirements, use cases, and detection objectives across vehicle platforms and network domains.
Contribute to the design of in-vehicle IDS architectures, including sensor placement, data collection, and analysis flows.
Translate threat models, attack paths, and misuse cases into concrete detection logic, rules, and/or model requirements.
Partner with ECU owners, system architects, and suppliers to integrate IDS capabilities into ECUs, gateways, and central compute platforms.
Specify and refine IDS interfaces, data formats, and logging requirements for alerts, diagnostics, and backend consumption.
Support implementation, integration, and validation activities through lab testing, test vehicle evaluations, and trace analysis.
Analyze IDS performance (coverage, fidelity, false positives/negatives) and drive tuning and improvements into the production solution.
Ensure IDS design and implementation align with internal cybersecurity processes and external standards/regulations (e.g., ISO/SAE 21434, UN R155).
Develop and maintain engineering documentation, including specifications, design descriptions, and test plans.
Provide technical guidance and reviews for internal teams and suppliers on IDS-related topics.

Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
Solid experience in embedded systems and/or vehicle networking (e.g., CAN, LIN, Automotive Ethernet, SOME/IP, UDS).
Strong foundation in cybersecurity principles, including threat modeling, attack surfaces, and defense-in-depth for embedded/vehicle systems.
Ability to interpret and apply automotive cybersecurity standards and regulations (e.g., ISO/SAE 21434, UN R155) to engineering designs.
Experience with microcontroller-based systems and embedded operating systems, including AUTOSAR architecture and Linux-like environments.
Knowledge of software and hardware design.
Ability to reconcile future IDS program enhancements with near-term execution to identify design and implementation issues.
Proficient in at least one of the following programming languages: C, C++, Python, Go, or Java.
Strong analytical, problem-solving, and communication skills, with the ability to clearly document and review technical designs.
Ability to handle ambiguity and make decisions and recommendations with limited data.
GM does not provide immigration-related sponsorship for this role.

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Senior Product Cybersecurity Engineer – Vehicle Security

Key skills