Sr. Specialist – Diagnostics Integration

What you’ll do

• Own the design, implementation, testing, validation, and release sign-off of vehicle diagnostic systems across complex EV platforms.
• Ensure that ECU diagnostics, fault handling, and service communication are fully validated across CAN, LIN, and Automotive Ethernet networks, and meet production readiness standards for vehicle release.
• Define how all vehicle systems diagnostics robustly on the platform — directly shaping the reliability, scalability, and performance of the entire vehicle platform.
• Establish acceptance criteria for ECU diagnostics functionality, validate fault handling behavior along with service and manufacturing diagnostic flows.
• Own validation execution across multiple environments (SIL, HIL, and vehicle integration testing).
• Design scalable regression test suites for ECU communication systems.
• Ensure consistent behavior across simulated and real-world environments.
• Validate multi-ECU communication across distributed vehicle systems across powertrain, BMS, ADAS, chassis, body systems.
• Perform deep debugging of network issues such as CAN bus load saturation, message timing drift, signal corruption or loss, gateway routing failures etc.
• Analyze ECU interactions under stress, fault injection, and edge conditions.
• Use diagnostic protocols (UDS – ISO 14229) to validate ECU behavior.
• Analyze large-scale CAN/Ethernet logs for intermittent failures, cross-ECU timing mismatches, system-level integration issues.
• Coverage of integration across Powertrain / Electrification (BMS, inverter, charging), Body & Comfort, ADAS / AD compute platforms, Infotainment & Connectivity, Central Compute / Zonal Controllers.
• Validate that system behavior meets system requirement specifications (SRS) under nominal conditions, boundary conditions, fault injection scenarios, high bus load scenarios, low voltage and cold crank conditions.
• Ensure feature-level integration synchronization, power mode management, wake-up/sleep strategy robustness.
• Own vehicle-level regression test planning, drive root cause analysis of cross-domain issues and help support integration war-room activities during DV/PV builds.

What you’ll bring

• A Master’s degree in electrical engineering, Computer Engineering, Computer Science, or a related field with 10+ years of experience.
• A strong understanding of vehicle E/E architecture and ECU-level software stacks, automotive communication protocols (CAN, LIN, FlexRay, Ethernet), UDS diagnostics (ISO 14229) and diagnostic communication tools.
• Expert knowledge of Jira, GitHub/GitLab, Jenkins, and Artifactory. ALM/PLM proficiency in Siemens Polarion, IBM DOORS Next Gen, or PTC Windchill.
• A strong understanding, development and verification of plant and control models in MATLAB/Simulink for execution in hardware in the loop test environment, dSpace control desk and automation desk.
• A strong understanding of 1st principles in Engineering, result/solution oriented.
• Familiarity with SW for embedded systems, EE systems and architecture.
• Familiarity with A2B, CAN, Automotive Ethernet, LIN, LVDS communication protocols and Vehicle Network tools, such as CANalyzer, CANoe, etc.
• Expertise with complex problem solving, data analysis, access/interpret/drive results with extended teams.
• A knowledge of Automotive design and development process, system requirements, and general engineering best practices.