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Test infra & CI: Buildbot, GitLab CI, Jenkins (integration into workflows)
Scripting & automation: Python, Bash
Linux systems, debugging tools; containerized environments (Docker)
Test suites: LLVM test-suite, SPEC benchmarks; internal workloads
Top 3 responsibilities
Own end-to-end quality assurance for compiler releases (functional, performance, regression) across architectures/configurations
Develop, maintain, and scale automated test infrastructure; integrate test suites into CI pipelines; automate test execution, results, reporting
Analyze test failures, triage issues, drive root-cause analysis with compiler developers; monitor infrastructure health and improve reliability
Must-have skills
3+ years in compiler QA, test infrastructure, or systems validation
Proficiency in Python and Bash for automation
Deep understanding of LLVM/GCC toolchains, build systems (CMake, Ninja), and validation methodologies
Experience with CI/CD tools (Buildbot, GitLab CI, Jenkins)
Linux expertise (scripting, process management, debugging)
Docker/containerized test execution; strong debugging and communication skills
Nice-to-haves
Experience with performance benchmarking and test result analysis
Familiarity with release qualification processes; documenting test strategies and workflows
Prior work
Full Description
Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Software Engineering
General Summary
Job Description
Join a high-impact team focused on ensuring the quality and reliability of LLVM and GCC compiler toolchains at scale. As a Compiler QA Engineer, you’ll play a critical role in validating compiler correctness, performance, and stability across a wide range of targets and configurations. You’ll work closely with compiler developers to design and maintain automated test frameworks, integrate industry-standard and custom test suites, and drive continuous validation through CI pipelines. This role demands a strong debugging mindset, attention to detail, and a passion for building robust systems that uphold the quality of complex toolchains.
Key Responsibilities (Compiler QA Focus)
Develop, maintain, and scale automated test infrastructure for validating LLVM and GCC-based compiler toolchains.
Own the end-to-end quality assurance process for compiler releases, including functional, performance, and regression testing across multiple architectures and configurations.
Integrate and manage test suites such as the LLVM test-suite, SPEC benchmarks, and internal workloads into CI pipelines.
Analyze test failures, triage issues, and collaborate with compiler developers to drive root cause analysis and resolution.
Build and maintain scripts and tools to automate test execution, result aggregation, and reporting.
Monitor test infrastructure health, ensure test coverage, and continuously improve reliability and turnaround time.
Contribute to release qualification efforts by defining test plans, tracking quality metrics, and ensuring high confidence in compiler deliverables.
Document test strategies, workflows, and debugging procedures for internal teams.
3+ years of experience in compiler QA, test infrastructure, or systems validation.
Strong proficiency in scripting languages (Python, Bash) for test automation and tooling.
Solid understanding of compiler toolchains (LLVM, GCC), their build systems (CMake, Ninja), and validation methodologies.
Experience with CI/CD tools (Buildbot, GitLab CI, Jenkins, etc.) and integrating test workflows into them.
Familiarity with performance benchmarking, test result analysis, and debugging compiler/runtime issues.
Strong Linux system knowledge, including shell scripting, process management, and debugging tools.
Experience with containerized environments (Docker) for scalable test execution.
Compiler QATest InfrastructureSystems ValidationScripting LanguagesPythonBashCompiler ToolchainsLLVMGCCCI/CD ToolsPerformance BenchmarkingTest Result AnalysisLinux System KnowledgeContainerized EnvironmentsDebugging SkillsAnalytical Skillsmulti-location
Excellent analytical, debugging, and communication skills.
Join a high-impact team focused on ensuring the quality and reliability of LLVM and GCC compiler toolchains at scale. As a Compiler QA Engineer, you’ll play a critical role in validating compiler correctness, performance, and stability across a wide range of targets and configurations. You’ll work closely with compiler developers to design and maintain automated test frameworks, integrate industry-standard and custom test suites, and drive continuous validation through CI pipelines. This role demands a strong debugging mindset, attention to detail, and a passion for building robust systems that uphold the quality of complex toolchains.
Key Responsibilities (Compiler QA Focus)
Develop, maintain, and scale automated test infrastructure for validating LLVM and GCC-based compiler toolchains.
Own the end-to-end quality assurance process for compiler releases, including functional, performance, and regression testing across multiple architectures and configurations.
Integrate and manage test suites such as the LLVM test-suite, SPEC benchmarks, and internal workloads into CI pipelines.
Analyze test failures, triage issues, and collaborate with compiler developers to drive root cause analysis and resolution.
Build and maintain scripts and tools to automate test execution, result aggregation, and reporting.
Monitor test infrastructure health, ensure test coverage, and continuously improve reliability and turnaround time.
Contribute to release qualification efforts by defining test plans, tracking quality metrics, and ensuring high confidence in compiler deliverables.
Document test strategies, workflows, and debugging procedures for internal teams.
3+ years of experience in compiler QA, test infrastructure, or systems validation.
Strong proficiency in scripting languages (Python, Bash) for test automation and tooling.
Solid understanding of compiler toolchains (LLVM, GCC), their build systems (CMake, Ninja), and validation methodologies.
Experience with CI/CD tools (Buildbot, GitLab CI, Jenkins, etc.) and integrating test workflows into them.
Familiarity with performance benchmarking, test result analysis, and debugging compiler/runtime issues.
Strong Linux system knowledge, including shell scripting, process management, and debugging tools.
Experience with containerized environments (Docker) for scalable test execution.
Excellent analytical, debugging, and communication skills
Minimum Qualifications
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
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