3 days ago
Haifa, IsraelSenior
Responsibilities
- Adapt AI models across platforms for performance and accuracy measurement across Linux, Windows, x86, Arm, mobile devices, target devices, simulators, and Qualcomm Hexagon architectures.
- Design, implement, and maintain system-integration, regression, preflight, and release-validation workflows.
- Analyze crashes, output mismatches, accuracy changes, and performance regressions; isolate causes and provide reproducible evidence, logs, and findings.
- Integrate testing with Git, GitHub or Gerrit, CI systems, scheduled jobs, service accounts, target stations, and automated result distribution.
- Improve test coverage, reproducibility, execution time, environment stability, regression visibility, and release readiness.
- Create technical documentation, onboarding materials, and status reports for engineering stakeholders.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related field, or a qualifying master's degree or PhD.
- Professional experience with AI/ML frameworks or model-execution workflows, including PyTorch and/or TensorFlow, graph compilation, and runtime validation.
- Knowledge of quantization, tensor operations, graph execution, numerical comparison, bit-exact validation, accuracy metrics, and performance analysis.
- Professional experience in software testing, system integration, validation, test automation, or embedded software development.
- Strong Python programming and scripting skills for maintainable automation and analysis tools.
- Hands-on Linux debugging experience using logs, command-line tools, debuggers, and reproducible test cases.
- Working knowledge of Git-based development, code review, branching strategies, CI workflows, and defect tracking.
- Bachelor's path requires 2+ years of relevant engineering experience, master's path requires 1+ year, or a relevant PhD may qualify; equivalent experience may be considered.
- Preferred experience includes embedded, DSP, accelerator, or heterogeneous-compute systems; Qualcomm Hexagon; C or C++; CMake; shared libraries; pytest; GitHub Actions; Jenkins; dashboards; HTML reports; regression databases; cross-platform validation; systematic test design; and software release support.
Benefits
- Work on production-scale AI/ML validation and embedded acceleration technologies.
- Build automation that improves developer feedback, regression detection, and release confidence.
- Gain exposure to model frameworks, compilers, runtimes, hardware targets, CI infrastructure, and low-level libraries.
- Collaborate with experienced engineers while owning technically meaningful system-integration challenges.
- Located in Hod HaSharon, Israel.
- Qualcomm provides equal opportunity employment and disability accommodations during the hiring process.
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.