1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Develop test strategies and ML test harnesses for AI inference accelerators.
- Develop and automate test plans, test frameworks, and Development Integration Testing solutions.
- Validate firmware, runtime, compiler, inference software, hardware/software interfaces, PCIe, DMA, memory, and peripheral subsystems.
- Perform system integration, feature validation, regression testing, release qualification, and Go/No-Go quality assessments.
- Onboard, validate, and optimize open-source AI models on accelerator platforms.
- Build CI infrastructure, continuous testing workflows, and software quality metrics.
- Collaborate with firmware and application software stakeholders and mentor engineers across 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; alternatively, a master's degree plus 1+ year, or a PhD in a related field.
- At least 1 year of work or academic experience with software or system testing and developing or automating test plans or tools.
- Strong Python and Shell scripting experience, plus C/C++ development, debugging, and testing on embedded platforms.
- Experience with automated test frameworks, Development Integration Testing, CI/CD pipelines, Jenkins, Git/Gerrit, and build automation.
- Understanding of ML software ecosystems, deep learning, transformer architecture, LLM-serving KPIs, AI inference runtimes, compiler technologies, and model deployment workflows.
- Experience with SoC architecture, memory hierarchy, interrupts, power management, multithreaded programming, PCIe, DMA, and peripheral subsystems.
- Experience with open-source AI/ML models and frameworks such as Llama, DeepSeek, Qwen, PyTorch, or Hugging Face.
- Familiarity with PCIe, LPDDR, ECC, PCIe AER, RAS, reliability validation, scalable automation, continuous testing, and end-to-end system integration.
- Demonstrated technical leadership in software quality, validation, automation, and release readiness, with experience mentoring engineers.
- Strong communication skills and ability to work 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.