Senior AI Platform Engineer

Candidate requirements :

• Minimum qualifications : Bachelor s or Graduate degree in computer science, electronics, information technology or related field.
• Minimum of 12 (twelve) years of demonstrable hands-on experience working as software solutions developer / architect with experience in EDA software optimization
• Extensive hands-on experience in software development (CI / CD), including SCM (one or more of git / svn / bitbucket / perforce), release management, testing and documentation.
• Experience with AWS services such as ECS Fargate, Lambdas, AWS IAM, AWS CDK.
• Proven experience designing AI / ML solutions for scientific computing, specific to EDA / Silicon design.
• Experience using AI prompts, RAG based patterns, Langchain, vector databases
• Deep experience in Engineering DRM (eg. LSF, Univa, Slurm, RTDA) based workflow implementation or optimization.
• Experience with data engineering and data security - including databases, data lakes / data lakehouses.
• Have the technical skill to review, verify and validate the software code developed in the project.
• Strong leadership and communication skills, with the ability to collaborate effectively across teams.
• Excellent analytical and problem-solving abilities with a focus on proactive optimization.

Soft Skills :

• Customer-centric mindset with a strong focus on delivering exceptional service.
• You are able to verbalize your thoughts and ideas and take the initiative to translate ideas into outcomes.
• Logical thinking and advanced problem-solving skills, with a proven ability to analyze complex issues.
• Team-oriented approach, with a willingness to work collaboratively with cross-functional teams to achieve goals.
• Proven experience working in a global environment handling international clients considered a significant asset.

Skills Required

DevSecOps, Aws Cloud