Engineer- Windows

Key Responsibilities

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.

Required Qualifications

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.

Preferred Qualifications

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.

Applicants

: Qualcomm is an