1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Develop test strategies and ML test harnesses for AI inference accelerators.
- Build automated test frameworks, test plans, and Development Integration Testing solutions.
- Validate firmware, embedded 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 across firmware, runtime, compiler, and inference software stacks.
- Develop and maintain test automation and CI infrastructure using Python and Shell scripting.
- Define workflows with firmware and application software stakeholders and collaborate across global cross-functional teams.
- Provide technical leadership, mentor engineers, and drive software quality and validation best practices.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field and 2+ years of relevant experience; alternatively, a master's degree and 1+ year of experience, or a PhD in a related field.
- At least 1 year of work or academic experience in software or system testing, including automated test plans or tools.
- Strong experience with Python and Shell scripting for test automation and infrastructure development.
- Experience with C/C++ software development, debugging, and testing on embedded platforms.
- Experience developing automated test frameworks, DIFT solutions, CI pipelines, build automation, and software quality metrics.
- Understanding of SoC architecture, memory hierarchy, interrupts, power management, multithreaded programming, and hardware/software validation.
- Knowledge of ML ecosystems, deep learning, transformer architectures, LLM-serving KPIs, inference runtimes, compiler technologies, and model deployment workflows.
- Experience with open-source AI/ML models and frameworks such as Llama, DeepSeek, Qwen, PyTorch, and Hugging Face.
- Familiarity with PCIe, LPDDR, ECC, PCIe AER, RAS, reliability validation, scalable automation, and continuous testing.
- Demonstrated technical leadership, mentoring ability, strong communication, and effectiveness across multiple 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.