1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Develop test strategies and ML test harnesses for AI inference accelerators.
- Add firmware support for machine learning Edge and Datacenter use cases.
- Develop automated test frameworks, Development Integration Testing solutions, and CI infrastructure.
- Validate hardware/software interfaces, including 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.
- Work across firmware, runtime, compiler, and inference software stacks.
- Define workflows with firmware and application software stakeholders and drive software quality best practices.
- 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 Systems Test Engineering or related experience; alternatively, a master's degree plus 1+ year of experience or a PhD.
- 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/CD pipelines, Jenkins, Git/Gerrit, and build automation.
- Understanding of SoC architecture, memory hierarchy, interrupts, power management, and multithreaded programming.
- Experience validating PCIe, DMA, memory, and peripheral subsystems.
- Understanding of ML software ecosystems, deep learning, transformer architectures, LLM serving KPIs, AI 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, continuous testing, and end-to-end system integration.
- Demonstrated technical leadership, mentoring experience, excellent communication, 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.