QA
Software Engineer - ASIC Validation
Accepting applicationsQFocus AI · Bengaluru, Karnataka, India
Full-Time Entry C++PythonOOPValidationTesting
Estimated market salary
₹8-14 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
1d ago
Category
Design
Experience
Entry
Country
India
Role Overview
We are seeking a versatile and independent C++ Software Engineer to join the AI Infrastructure Silicon Validation team. Rather than designing chips, this role focuses on writing robust software to test, validate, and stress-test AI infrastructure platforms. You will use your strong Object-Oriented Programming (OOP) foundation to build validation applications, integrate with hardware vendor SDKs (including NVIDIA CUDA), and independently deliver reliable testing code.
Key Responsibilities
Write Validation Software: Design, implement, and maintain test applications in C++ to validate the performance and correctness of AI infrastructure.
SDK & API Integration: Successfully integrate and utilize third-party SDKs and low-level APIs, specifically including CUDA, to interact with compute hardware.
Apply Clean OOP Principles: Build reusable, modular, and easily maintainable validation frameworks using proper modern object-oriented design patterns.
Independent Execution: Take ownership of assigned validation features from technical requirements through to delivery, debugging, and documentation with minimal supervision.
Test & Debug: Identify software bugs, memory issues, and api integration edge cases in a Linux-based engineering environment.
Required Technical Skills
Strong C++ & OOP: Solid proficiency in core C++ (including modern standards like C++14/C++17) with a deep understanding of classes, inheritance, polymorphism, and memory management.
API/SDK Experience: Demonstrated ability to read documentation, pick up new technical SDKs quickly, and implement them—specifically CUDA APIs.
Proficiency with POSIX Multi-threading
Linux Environment: Comfortable developing, compiling (e.g., CMake/Make), and running applications in a standard Linux environment.
Independent Problem Solver: Proven track record of working autonomously to complete coding tasks, write clean test code, and troubleshoot issues.
Desired Experience
Experience writing unit tests or automated validation suites.
Basic familiarity with multi-threaded programming or concurrent execution concepts.
Familiarity with Python for basic scripting or test automation wrappers
6+ years of hands-on experience working in complex (preferably) HW-SW projects with tight schedules
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We are seeking a versatile and independent C++ Software Engineer to join the AI Infrastructure Silicon Validation team. Rather than designing chips, this role focuses on writing robust software to test, validate, and stress-test AI infrastructure platforms. You will use your strong Object-Oriented Programming (OOP) foundation to build validation applications, integrate with hardware vendor SDKs (including NVIDIA CUDA), and independently deliver reliable testing code.
Key Responsibilities
Write Validation Software: Design, implement, and maintain test applications in C++ to validate the performance and correctness of AI infrastructure.
SDK & API Integration: Successfully integrate and utilize third-party SDKs and low-level APIs, specifically including CUDA, to interact with compute hardware.
Apply Clean OOP Principles: Build reusable, modular, and easily maintainable validation frameworks using proper modern object-oriented design patterns.
Independent Execution: Take ownership of assigned validation features from technical requirements through to delivery, debugging, and documentation with minimal supervision.
Test & Debug: Identify software bugs, memory issues, and api integration edge cases in a Linux-based engineering environment.
Required Technical Skills
Strong C++ & OOP: Solid proficiency in core C++ (including modern standards like C++14/C++17) with a deep understanding of classes, inheritance, polymorphism, and memory management.
API/SDK Experience: Demonstrated ability to read documentation, pick up new technical SDKs quickly, and implement them—specifically CUDA APIs.
Proficiency with POSIX Multi-threading
Linux Environment: Comfortable developing, compiling (e.g., CMake/Make), and running applications in a standard Linux environment.
Independent Problem Solver: Proven track record of working autonomously to complete coding tasks, write clean test code, and troubleshoot issues.
Desired Experience
Experience writing unit tests or automated validation suites.
Basic familiarity with multi-threaded programming or concurrent execution concepts.
Familiarity with Python for basic scripting or test automation wrappers
6+ years of hands-on experience working in complex (preferably) HW-SW projects with tight schedules
Show more Show less