Engineer- Windows

Location: Hyderabad, Telangāna, India

Department: Software Engineering

Work Location: onsite

Company:

Job Area:

General Summary:

Minimum Qualifications:

• Analyse and optimise system and application performance on Windows-based ARM platforms.
• Investigate performance bottlenecks across OS, drivers, middleware, and applications using industry-standard profiling tools.
• Perform ETW trace analysis, CPU scheduling analysis, memory analysis, storage analysis, and power-performance investigations.
• Develop performance-focused tools, automation, and microbenchmarks to evaluate platform capabilities.
• Optimise industry-standard benchmarks and real-world workloads to improve platform competitiveness.
• Collaborate with cross-functional teams including architecture, driver, power, thermal, and application engineering teams.
• Present technical findings, root-cause analysis, and optimisation recommendations to internal stakeholders and external partners when required.
• Leverage AI/GenAI-based tools and automation techniques to improve analysis efficiency and productivity.

• B.E./B.Tech or M.E./M.Tech in Computer Science, Electronics, Electrical Engineering, or related discipline.
• Strong understanding of Operating System fundamentals, including:
  • Process and Thread Scheduling
  • Memory Management
  • Synchronisation Mechanisms
  • Interrupts, DPCs, and I/O Subsystems
• Good understanding of OS internals and device driver architecture Windows OS is plus.
• Strong knowledge of ARM architecture and instruction set (ARM ISA) desired
• Proficiency in C/C++ programming along with debugging skills with WinDbg, JTAG are preferred.
• Experience with debugging and performance profiling tools such as Windows performance analyzer, Vtune.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills with the ability to present technical concepts clearly.

• Experience with Windows kernel-mode or user-mode driver development.
• Knowledge of ARM Assembly programming.
• Experience developing microbenchmarks and workload characterisation tools.
• Hands-on experience with performance analysis tools such as:
  • ETW
  • PMU/Hardware Performance Counters
  • Visual Studio Performance Tools
• Experience optimising industry-standard benchmarks, including:
  • Geekbench
  • Procyon / Procyon AI
  • 3DMark
  • Cinebench
  • Browser and productivity benchmarks
  • SPEC
• Familiarity with GenAI-assisted engineering workflows, automation frameworks, and data-driven performance analytics, scripting.
• Exposure to Windows-on-ARM platforms and performance tuning techniques.

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