Senior Digital Verification Engineer
Posted Jun 28 · 0 applicants
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The role in plain words
This role focuses on maintaining and improving complex, scalable UVM-based verification environments and testbench architectures for next-generation imagery sensors. You will define verification methodologies, optimize regression environments and simulation workflows, and develop automation frameworks using Python, Perl, and shell scripting. Additionally, you will serve as a technical focal point for mid-level engineers and collaborate with cross-functional design and algorithm teams.
- 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
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced engineers with at least 8 years of ASIC/SoC verification experience, deep knowledge of SystemVerilog/UVM, and strong scripting skills for workflow automation. It is less ideal for junior engineers or those without a strong background in building large-scale verification infrastructures and regression environments.
Full job description
Original listing · kept for referenceSamsung 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.
Questions about this role
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- 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)