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Tier-1 brand plus metro location but senior, specialized role narrows applicant pool.
Role requires domain-specific HPC/EDA/agentic systems and platform engineering, making skills less transferable across industries.
Explicit 8+ years and mandatory HPC, distributed systems, CI/CD and language skills create strict filters.
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Own software architecture and design for scalable, modular AI-powered EDA/ML systems with robust abstractions and interfaces.
Build and manage automation and benchmarking frameworks for evaluating agentic systems' correctness, performance, and reliability.
Drive engineering best practices, code quality, and mentor engineers while collaborating with ML, systems, and infrastructure teams.
8+ years professional software engineering experience with complex, multi-component systems ownership.
Bachelor's degree in Computer Science, Engineering, Information Systems or related field plus 4+ years relevant experience OR Master's degree plus 3+ years OR PhD plus 2+ years.
Proficiency in Python, Java, or C++ with experience building large, maintainable codebases and frameworks.
Hands-on experience with HPC infrastructure using job schedulers like Slurm and LSF.
Strong understanding of agentic system architectures including handling non-determinism, feedback loops, and failure modes.
Experience building CI/CD pipelines with automated quality and evaluation gates in distributed or platform-scale software environments.
Demonstrated ability to lead technical direction, improve reliability and testability, and mentor other engineers in an AI/EDA software context.