Telematics System Performance Engineer

Job Summary

A Telematics Systems Performance Engineer for Qualcomm SoCs (Snapdragon Automotive Platforms) must bridge embedded software, hardware architecture, and wireless technologies. The role focuses on profiling, analyzing, and optimizing SoC performance, power, thermal, and KPI efficiency for connected vehicles and IoT.

Skillset Required

• Wireless Protocols: Familiarity with connectivity modules like 5G, LTE, WLAN.
• Auto Use cases: Familiarity with telematics and automotive use cases such as C-V2X (Cellular Vehicle-to-Everything), eCall, IMS, GNSS/location subsystems, PCIe, WLAN etc.
• Power Profiling: Hands-on experience with hardware/software power management stacks, sleep states, and dynamic voltage and frequency scaling (DVFS).
• ARM Architecture: Solid grasp of ARM processor microarchitectures (e.g., ARMv8, ARMv9), multicore/multiprocessor configurations, and virtualization (Hypervisors like GVM, QNX etc.).
• Memory Hierarchy Interconnects: Understanding of DDR interfaces, Non-Cache Coherent Interconnects (NoC), AXI/AHB bus protocols, Memory Management Units (MMU/SMMU) cache hierarchy (L1, L2, LLCC) etc.
• System Profiling: Ability to correlate hardware counters (e.g., Coresight-PMU) with software behavior.
• Debugging Tools: Proficiency with profiling and tracing tools such as Ftrace, Perf, Qualcomm Snapdragon Platforms etc.
• Workload Analysis: Ability to analyze complex use cases (e.g., simultaneous 5G data streaming, navigation, and AI inferencing) and pinpoint performance or thermal bottlenecks.
• Cross-functional collaboration: with global hardware, software, and product management teams to define hardware architecture trade-offs.

Minimum Qualifications

• Bachelor's degree in Computers or Electronics Engineering.
• 8+ years of experience in SoC System performance analysis.
• Must be quick learner and should be able to adapt to new technologies
• Working experience of scripting languages (perl, python) and Automating work-flows
• Ability to create professional quality reports and slides using MS Office or any advanced visualization tools.
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
• OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.