Senior Digital Verification Engineer
פורסם 28 ביוני · 0 מועמדים
התפקיד במילים פשוטות
מהנדס אימות דיגיטלי בכיר זה יתמקד בשיפור מתמיד של תשתית האימות עבור חיישני הדמיה מהדור הבא. התפקיד כולל תחזוקה ושיפור סביבות אימות מבוססות UVM, הגדרת שיטות עבודה מומלצות וייעול סביבות רגרסיה וכלי איתור באגים. בנוסף, המהנדס יפתח וישמר מסגרות אוטומציה וצינורות כלים באמצעות Python, Perl וסקריפטים מתקדמים בסביבת לינוקס.
- BSc. or MSc. in Electrical/Electronic Engineering, Computer Engineering, or a related field
- Minimum of 8+ years of progressive experience in complex ASIC/SoC verification, with a proven track record of completing multiple successful tape-outs
- Demonstrated experience in architecting, building, and maintaining large-scale verification environments and regression infrastructures
- Deep, authoritative knowledge of SystemVerilog and advanced UVM architectures
- Expert-level proficiency with industry-standard verification tools, simulators, and regression management systems (strong preference for the Cadence ecosystem)
- Deep understanding of Image Signal Processor (ISP) algorithms, DMAs, or complex security blocks
- Extensive experience verifying standard protocols, specifically MIPI, APB, AXI, and AHB
- Background in developing products for Mobile, AR/VR, or Automotive domains, including familiarity with functional safety standards (e.g., ISO 26262)
- Proven experience leveraging Machine Learning or AI-assisted tools within hardware verification flows
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדסים בעלי ניסיון של 8+ שנים באימות ASIC/SoC מורכב, עם רקורד מוכח של השלמת מספר טייפ-אאוטים מוצלחים. נדרשת מומחיות עמוקה ב-SystemVerilog ובארכיטקטורות UVM מתקדמות, כמו גם מיומנויות תכנות וסקריפטים יוצאות דופן לאוטומציה של זרימת עבודה. פחות מתאים למועמדים ללא ניסיון משמעותי בארכיטקטורה ותחזוקה של סביבות אימות בקנה מידה גדול.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןSamsung R&D Center (SIRC) is looking for an expert-level Senior Verification Engineer to join our team, focusing on the continuous improvement of our verification infrastructure. We are shaping the world of tomorrow, today—focusing beyond the horizon and driving exciting developments across key areas of technology. Samsung is creating a new era of continuous innovation, delivering value to society, and cultivating a workplace where our employees can maximize their talent, creativity, and passion. The Group The Verification Advanced Sensor Products team tackles the full verification flow for next-generation imagery sensors powering Mobile, AR/VR applications, and Automotive domains. We dive deep into complex design flows, focusing heavily on Image Signal Processor (ISP) algorithms, system control blocks, and security blocks. To support this complexity, we require a robust, scalable, and highly automated verification ecosystem. We are looking for a senior verification engineer who can architect our methodologies, optimize our toolchains, and build the infrastructure that empowers our verification teams to work faster and smarter. What You Will Be Doing • Maintain, and continuously improve complex, scalable UVM-based verification environments and testbench architectures across the entire sensor portfolio. • Define and drive best practices in verification methodology, ensuring high reusability, efficient coverage closure, and robust SVA strategies across block and system levels. • Lead the optimization of regression environments, simulation workflows, and debug toolchains (e.g., Cadence Xcelium, vManager, Indago) to reduce turnaround time and improve resource utilization. • Develop and maintain sophisticated automation frameworks and tooling pipelines using Python, Perl, and advanced shell scripting (Bash/TCSH) within a Linux environment. • Support the evaluation and integration of AI tools and methodologies to accelerate test generation, automate triage, and modernize verification workflows. • Serve as a technical focal point for mid-level engineers. Collaborate closely with Design, Algorithm, FW, and Analog teams to ensure the infrastructure supports all cross-functional requirements seamlessly.
Requirements: • BSc. or MSc. in Electrical/Electronic Engineering, Computer Engineering, or a related field. • Minimum of 8+ years of progressive experience in complex ASIC/SoC verification, with a proven track record of completing multiple successful tape-outs. • Demonstrated experience in architecting, building, and maintaining large-scale verification environments and regression infrastructures. • Deep, authoritative knowledge of SystemVerilog and advanced UVM architectures. • Expert-level proficiency with industry-standard verification tools, simulators, and regression management systems (strong preference for the Cadence ecosystem). • Exceptional programming and scripting skills (Python, Perl, Bash/TCSH, Makefiles) focused on workflow automation and CI/CD pipelines for hardware. • Experience using AI tools to accelerate verification, improve test generation, or optimize workflows. Advantages • Deep understanding of Image Signal Processor (ISP) algorithms, DMAs, or complex security blocks. • Extensive experience verifying standard protocols, specifically MIPI, APB, AXI, and AHB. • Background in developing products for Mobile, AR/VR, or Automotive domains, including familiarity with functional safety standards (e.g., ISO 26262). • Proven experience leveraging Machine Learning or AI-assisted tools within hardware verification flows.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- BSc. or MSc. in Electrical/Electronic Engineering, Computer Engineering, or a related field, Minimum of 8+ years of progressive experience in complex ASIC/SoC verification, with a proven track record of completing multiple successful tape-outs, Demonstrated experience in architecting, building, and maintaining large-scale verification environments and regression infrastructures, Deep, authoritative knowledge of SystemVerilog and advanced UVM architectures, Expert-level proficiency with industry-standard verification tools, simulators, and regression management systems (strong preference for the Cadence ecosystem)