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Tier-1 employer, metro Bangalore, mid-level generalist engineering title, and broad skillset requirements increase candidate competition.
Requires system-level C++ expertise and GPU performance verification, reducing cross-industry transferability.
Explicit 3+ years and mandatory C++/software fundamentals with several preferred tools cause moderate shortlisting filters.
Design and maintain automated GPU performance verification pipelines covering workload trace generation to result analysis and correlation with architecture targets.
Develop performance monitoring infrastructure for consistent observability across simulation, emulation, and silicon environments.
Build scalable data pipelines and dashboards to visualize and compare performance metrics across builds and environments, coordinating closely with GPU architects and hardware teams.
Bachelor’s or Master’s in Computer Science, Computer Engineering, or equivalent experience.
3+ years of software engineering experience primarily in C++, with Python used for tooling and automation.
Strong CS fundamentals including data structures, algorithms, OOP, and system design.
Work Experience Required: 3+ years of software engineering experience (explicit).
Experienced in full-stack development including backend (Java/Python), REST APIs, and frontend frameworks is advantageous.
Familiarity with databases (SQL, MongoDB), Git, CI/CD, Kubernetes, Docker, and messaging systems (RabbitMQ) supports performance verification tooling.
Exposure to GPU/CPU/SoC chip performance verification and AI development tools indicates best strategic fit.