1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Develop test strategies and ML test harnesses for AI inference accelerators.
- Build and maintain automated test frameworks, test plans, and CI infrastructure using Python and Shell scripting.
- Perform embedded software development, debugging, functional testing, system validation, regression testing, and release qualification.
- Validate hardware/software interfaces including PCIe, DMA, memory, and peripheral subsystems.
- Support firmware, runtime, compiler, and inference software stack integration and workflows.
- Onboard, validate, and optimize open-source AI models on accelerator platforms.
- Conduct end-to-end system integration, feature validation, reliability validation, and Go/No-Go quality assessments.
- Define workflows with firmware and application software stakeholders and drive software quality best practices across teams.
- Mentor engineers and provide technical leadership across multiple teams.
Requirements
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field plus 2+ years of Software Test Engineering or related experience; or a relevant master’s degree plus 1+ year; or a relevant PhD.
- At least 1 year of work or academic experience in software or system testing, including automated test plans or tools.
- Strong Python and Shell scripting experience for test automation and infrastructure development.
- Experience with C/C++ software development, debugging, and testing on embedded platforms.
- Experience developing automated test frameworks and Development Integration Testing solutions.
- Experience with Jenkins, Git/Gerrit, build automation, and CI/CD pipelines.
- Understanding of SoC architecture, memory hierarchy, interrupts, power management, multithreaded programming, PCIe, DMA, and peripheral subsystems.
- Understanding of ML software ecosystems, deep learning, transformer architectures, LLM serving KPIs, AI inference runtimes, compilers, model onboarding, and deployment workflows.
- Experience with open-source AI/ML models and frameworks such as Llama, DeepSeek, Qwen, PyTorch, or Hugging Face.
- Familiarity with high-speed interfaces such as PCIe and LPDDR, plus ECC, PCIe AER, RAS, and reliability validation.
- Demonstrated technical leadership in software quality, validation, automation, and release readiness.
- Excellent communication skills and ability to collaborate across global cross-functional teams.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.