System Integration Engineer, Senior - Hod HaSharon

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General Summary:

System Integration Engineer - AI/ML

Company Description

Qualcomm is a company of inventors that unlocked 5G, ushering in an era of rapid innovation in connectivity and creating new possibilities that transform industries and enrich lives. This is the Invention Age, and this is where you come in.

Job Description

The System Integration team is seeking a hands-on engineer to strengthen the development and validation of AI software solutions. This role combines AI model adaptation, system-level testing, Python-based automation, CI and regression infrastructure, cross-platform execution, failure analysis, and close collaboration with framework, compiler, runtime, and product teams.

You will own end-to-end development and validation workflows across complex AI/ML and embedded environments. You will convert failures into reproducible engineering evidence, expand functional and performance coverage, and help development teams detect integration issues earlier in the development cycle.

Key Responsibilities

• Adapt AI models across platforms to enable performance and accuracy measurement on Linux and Windows hosts, x86 and Arm environments, mobile and target devices, MTPs, instruction-set simulators (ISS), and supported Hexagon architectures.
• Design, implement, and maintain system-integration, regression, preflight, and release-validation workflows.
• Analyze failures, crashes, output mismatches, accuracy changes, and performance regressions. Isolate the responsible component or change, and provide clear reproduction steps, logs, and actionable findings.
• Integrate test workflows 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, and visibility into regression health and release readiness.
• Create technical documentation, onboarding materials, and concise status reports for engineering stakeholders.

Minimum Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
• 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, with the ability to build maintainable automation and analysis tools.
• Hands-on experience debugging Linux-based systems 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.
• Strong analytical and problem-solving skills, with close attention to test evidence, configuration control, and root-cause isolation.
• Effective written and verbal communication skills, with the ability to collaborate across development, infrastructure, validation, and release teams.

Preferred Qualifications

• Experience testing embedded, DSP, accelerator, or heterogeneous-compute systems, particularly in Qualcomm Hexagon environments.
• Experience with C or C++, CMake, shared libraries, APIs, and low-level functional or intrinsic testing.
• Experience with pytest, GitHub Actions, Jenkins, automated scheduling, CI runners, dashboards, HTML reports, and regression databases.
• Experience performing cross-platform validation across x86, Arm, Linux, Windows, devices, and simulators.
• Familiarity with systematic test-design techniques, including boundary-value analysis, edge-case testing, combinatorial testing, and property-based testing.
• Experience supporting software releases and triaging bugs and regression failures.

Why Join Us

• Work on production-scale AI/ML validation and embedded acceleration technologies.
• Build automation that directly improves developer feedback, regression detection, and release confidence.
• Gain broad exposure to model frameworks, compilers, runtimes, hardware targets, CI infrastructure, and low-level libraries.
• Collaborate with experienced engineers while taking ownership of technically meaningful system-integration challenges.

Location

Hod HaSharon, Israel

Minimum Qualifications:

OR

Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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