5 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and develop crash dump collection, processing, and analysis tools for GPU and AI accelerator platforms.
- Build hardware debugging, device inspection, failure analysis, post-mortem debugging, and root-cause analysis tools.
- Develop diagnostics spanning host software, device drivers, firmware, and accelerator hardware.
- Build scalable mechanisms for collecting and analyzing logs, traces, telemetry, and diagnostic data.
- Design extensible APIs and tooling for multiple hardware generations and accelerator architectures.
- Automate failure detection, debugging, and diagnostic workflows to reduce engineering effort.
- Collaborate with hardware, firmware, driver, platform, and cloud infrastructure teams on cross-layer issues.
- Improve tooling quality, reliability, testability, performance, and developer experience.
- Participate in architecture and design reviews, contribute to engineering practices, and mentor other engineers.
- Apply and share AI-assisted engineering practices for design, coding, debugging, testing, documentation, learning, and workflow automation.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline, or equivalent experience with 8+ years of relevant industry experience.
- Software development experience in C, C++, C#, Rust, Python, or similar languages.
- Experience developing systems software, debugging tools, diagnostic software, or developer tools.
- Understanding of operating systems, computer architecture, memory management, concurrency, and low-level software concepts.
- Ability to diagnose complex software or hardware-software interaction issues and develop reliable, maintainable, and testable production software.
- Experience with crash dump, debugger, tracing, profiling, diagnostic, telemetry, observability, or post-mortem analysis tools is preferred.
- Experience with GPU, AI accelerator, heterogeneous compute, Linux systems programming, kernel interfaces, device drivers, firmware, embedded systems, or SoC architectures is preferred.
- Knowledge of PCIe, device interfaces, memory-mapped I/O, hardware/firmware interaction, JTAG, or OpenOCD is preferred.
- Experience building developer tools across different hardware generations or platforms is preferred.
- Ability to use AI-assisted techniques for code analysis, debugging, test generation, failure investigation, engineering automation, and technical learning.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.