Wireless Connectivity System and Architecture Engineer
Intel
- Location
- Israel Petah Tikva
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 1,112 approvals (FY2023)
- Posted
- 14h ago
Skills
About this role
Job Details
Job Description: Intel is a leading technology company specializing in cutting-edge wireless communication solutions. We are seeking a highly motivated Wireless Connectivity System Engineer to join our engineering team. In this role you will primarily own system-level integration, validation, and optimization of wireless connectivity SoCs and platforms, including Wi-Fi, Bluetooth, and related technologies, while also contributing to the system architecture and definition of next-generation products. You will work at the intersection of hardware, firmware, software, and architecture, driving issues from early bring-up through production readiness, and feeding real-world integration and debug insights back into system specifications, architectural trade-offs, and future product definition.
Key Responsibilities
System and Architect Lead and contribute to end-to-end system integration of wireless connectivity SoCs and platforms. Drive silicon bring-up , feature enablement, and system readiness across development milestones. Contribute to the definition of the system architecture of wireless SoC products, considering power efficiency, performance, and scalability. Integrate wireless IPs across HW, FW, driver, and OS layers to ensure correct system behavior. Translate integration and validation learnings into architectural improvements and next-generation product definition. Debug, Validation & Root Cause Analysis Perform system-level debugging of complex issues spanning analog, digital, firmware, and software domains. Develop and execute validation strategies, test plans, and stress scenarios to ensure product quality and robustness. Conduct deep root cause analysis and drive fixes across cross-functional teams. Leverage AI/ML-based tools and data analytics to accelerate log analysis, anomaly detection, and automated failure triage. Performance, Power & Reliability Optimization Analyze and optimize performance, latency, throughput, power consumption, and coexistence behavior at the system level. Identify and address performance bottlenecks , ensuring the SoC meets stringent performance requirements. Support trade-off decisions between features, power, performance, and schedule. Cross-Functional Collaboration Work closely with architecture, design, firmware, software, validation, and product teams to align system requirements and resolve integration challenges. Act as a technical focal point for system-level wireless connectivity topics. Documentation & Technical Leadership Produce clear technical documentation, integration guidelines, design guidelines, and issue reports. Present findings and recommendations to engineering and management stakeholders. Contribute to process improvements and best practices for system integration, validation, and architecture. Drive adoption of AI-assisted engineering practices and automation to improve debug, validation, and documentation efficiency.
Qualifications
Minimum Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering , or a related field. Experience in system integration or system validation of complex SoC-based products. Exposure to system architecture, system definition, or specification work for SoC or wireless products. Strong understanding of wireless connectivity technologies (Wi-Fi, Bluetooth, coexistence – advantage). Hands-on experience with debug tools, lab equipment, and system-level validation environments. Familiarity with semiconductor technologies and SoC development processes. Strong analytical, problem-solving, and debugging skills. Excellent communication skills and ability to work effectively in a cross-functional environment. Working proficiency with Python / scripting and AI-GenAI tools to automate data analysis, debug, and validation flows. Experience applying AI / machine learning techniques to log analysis, anomaly detection, or automated failure triage. Hands-on use of GenAI / LLM-based assistants for code,