Senior QA Engineer Performance & Reliability ONLY W2 ONSITE

Key Responsibilities

Performance & Reliability Strategy

• Test Design & Execution: Design and execute comprehensive test plans for performance benchmarking, stress testing, longevity/endurance testing, and thermal/power characterization of TCU/BMC systems.

• Workload Analysis: Analyze system behavior under various heavy workloads to identify performance bottlenecks in throughput, latency, and resource utilization (CPU, Memory, PCIe).

• Reliability Validation: Conduct Mean Time Between Failures (MTBF) prediction, long-duration stability tests, and error injection campaigns to validate system robustness.

Deep Dive & Issue Resolution

• Root Cause Analysis: Lead the deep-dive investigation of performance degradation and reliability failures. Use advanced debugging tools (oscilloscopes, logic analyzers, firmware traces) to isolate issues.

• Developer Collaboration: Work directly with firmware and hardware engineers to reproduce complex bugs, analyze crash dumps, and verify fixes.

• Infrastructure Enhancement: Develop and maintain automated performance testing frameworks and reporting dashboards to track regression and trends over time.

Reporting & Leadership

• Reporting: Generate detailed performance assessment reports and reliability analysis metrics for stakeholders.

• Mentorship: Mentor junior engineers on performance testing methodologies and system debugging techniques.

• Experience: 5+ years of experience in embedded system testing, with a strong focus on performance verification and reliability engineering.

• System Knowledge: Deep understanding of TCU, BMC, HMC, RoT (Root of Trust), Secure Boot, TPM, HSM, PCIe (Gen4/5), DDR memory, and networking protocols.

• Performance Tools: Proficiency with performance profiling tools, traffic generators, and standard benchmarks (e.g., SPEC, IOzone, iperf). Experience with thermal and power measurement tools.

• Programming: Strong scripting skills in Python for test automation and data analysis; familiarity with C/C++ for code analysis is a plus.

• Operating Systems: Strong Linux/Unix skills, including kernel tuning, system monitoring, and log analysis.

• Tools: Experience with CI/CD pipelines (Jenkins, GitLab CI) and version control (Git).

• Education: BS/MS degree in Computer Science, Electrical Engineering, or a related field.