Silicon Design Data Scientist

Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). Proficiency in SQL, NoSQL databases, and scalable data pipeline development. Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). Hands-on experience with runtime and memory profiling for verification workloads. Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. Strong programming skills in Python, Bash, Perl, or similar scripting languages. Effective communication and ability to present data-driven insights to engineering teams. ​What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: [[Sweden]] || [[Stockholm/ Lund]] Primary Recruiter: [[Anitha Pulluru]] Hiring Manager: [[Edward Lindenholst]]