1 day ago
Haifa, IsraelMid Level
Responsibilities
- Develop real-time software for Qualcomm AI DSPs supporting generative AI models on Snapdragon platforms.
- Implement core Qualcomm AI Stack runtime components for inference on low-power, resource-constrained AI systems.
- Validate, analyze, and optimize software performance and accuracy for machine learning use cases.
- Debug complex issues, perform root-cause analysis, and improve system reliability.
- Collaborate with cross-functional and global AI teams to deliver scalable software solutions.
- Participate in software design and code reviews and contribute to technical knowledge sharing.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field, or an advanced degree with the corresponding experience listed in the posting.
- At least 3 years of general software development experience or 2 years of related AI DSP experience; the broader qualification section lists 4 years with a bachelor's degree, 3 years with a master's degree, or 2 years with a PhD.
- Proficiency in C/C++ software development and experience working in a Linux environment.
- Strong skills in data structures, algorithms, software design, debugging, and testing.
- Preferred experience includes at least 2 years building embedded software applications.
- Familiarity with generative AI architectures such as LLMs and hardware-accelerated inference on mobile, laptop, and AR/VR/XR edge devices.
- Experience with Linux, Android, or Windows platforms and git-based source control is preferred.
- Strong communication, collaboration, and ability to manage multiple interests in a globally diverse team.
Categories
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.