Staff Systems Engineer, Automotive Network Communications

What you'll do

• Define and maintain Network Performance Budgets across various vehicle product areas and architectures.
• Forecast future network loading and bandwidth requirements based on product roadmaps and feature growth.
• Perform end-to-end network load assessments including message catalog reviews, traffic modeling, and simulation of bus utilization.
• Create and manage a Network Performance Dashboard to provide visibility into current and projected performance health.
• Support Electrical Architecture Reviews by evaluating the impact of new features and providing risk assessments.
• Act as a primary interface between software, hardware, and microcontroller teams to align on bandwidth and timing constraints.
• Develop and standardize tools and methods for network modeling, simulation, and data analysis.
• Document best practices and reference architectures to ensure consistent performance assessment across all product areas.

What we're looking for

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical field.
• Minimum of 7 years of engineering experience with in-vehicle networks and automotive electrical systems.
• Proven experience performing network performance analysis including utilization, latency, jitter, and margin in embedded systems.
• Strong understanding of CAN, LIN, and Ethernet-based communication systems like 100BASE-T1 and 1000BASE-T1.
• Hands-on experience with tools such as CANoe, Vector tools, Wireshark, or other proprietary OEM measurement tools.
• Experience building dashboards and data pipelines to visualize performance metrics for large engineering teams.
• Familiarity with systems engineering frameworks and safety/quality standards like ASPICE, ISO 26262, and MBSE.
• Proficiency in requirements engineering and change control processes for non-functional requirements.
• Experience defining Network Performance Budgets and Load Assessments for multi-domain automotive architectures (preferred).
• Background in cross-product or platform-level architecture development with high feature growth (preferred).
• Familiarity with enterprise reporting tools to monitor reliability and scalability at scale (preferred).
• Demonstrated ability to mentor and coach other engineers in network performance concepts and best practices (preferred).