We are searching for an ASIC Verification Lead to join Bull's dynamic team. In this role, you will play a key part in verifying complex ASIC architectures used in Bull’s high-end and exascale servers. You will drive verification strategy, lead UVM-based methodologies, and work closely with architecture and design teams to ensure the reliability and performance of advanced semiconductor designs.
Responsibilities
- Acquire knowledge of the architecture and microarchitecture of the ASIC by studying specifications and interacting with the architecture and logical design teams.
- Participate in defining overall verification strategies and methodologies, and the required simulation environments. Develop, maintain and publish verification specifications.
- Write and perform closely test plans with the logical design team.
- Develop coverage models and verification environments using UVM-SystemVerilog / C++.
- Monitor, analyze and debug simulation errors.
- Monitor and analyze simulation coverage results to improve tests accordingly, thereby achieving coverage targets on time.
- Submit recommendations on tools and methodologies to improve productivity.
- Mentor junior engineers on how to produce maintainable and reusable code across projects.
What we're looking for
Experience: 8+ years
Education: Bachelor's Degree (BE / BTech) or Master's Degree (ME / MTech)
Competences & Skills
- Integrating ASIC functional verification team.
- ASIC developed include network controller, router and cache coherence controller targeting Bull high-end servers and Bull high-performance (“big data” and “exascale” servers).
- Using “Constraint-Random, Coverage Driven” functional verification methodologies underlying UVM verification framework to ensure full and effective verification of complex ASIC.
- Participated in the successful verification of a complex SoC or ASIC.
- Mastering UVM or equivalent verification methodology.
Location
Madrid or Barcelona. Candidates from other locations in Spain may also be considered.
Benefits
- Flexible Work Schedule: Half day Fridays and an intensive summer workday supporting work-life balance.
- Learning and Growth: Opportunities to work with advanced AI technologies in an innovative and supportive R&D environment.