CyberCoders
United State
Senior/Staff/Principal Physical IC Design Engineer (ASIC)
Programming Full-time 3h ago
- AI
- Cloud
- Machine Learning
- Perl
AI Summary
Build and optimize the distributed systems, data pipelines, and agent workflows for a seed-stage AI platform processing trillions of tokens weekly. Focus on reliability, performance, and tooling for domain experts in engineering and life sciences. Requires 0-6 years of production software experience with distributed systems and AI-adjacent optimization.
Key Highlights
Design and maintain distributed systems and data pipelines for AI agent workflows scaling to trillions of tokens weekly
Investigate production issues, optimize performance, and ensure fault tolerance in agent execution environments
Collaborate with domain experts to reduce manual work and improve software reliability
Key Responsibilities
Develop long-horizon agent workflows capable of processing trillions of tokens weekly
Build and manage services for task execution, evaluation results, and dataset delivery
Investigate production issues and optimize performance, resource usage, and failure recovery
Work with domain experts to improve their software and reduce repetitive manual work
Design new features and ensure their seamless operation in production
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Technical Skills Required
Benefits & Perks
$200,000-$400,000 base salary (plus equity)
Visa sponsorship considered
Highly competitive equity compensation
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Nice to Have
Experience with agent workflows or model inference/evaluation systems
Degree from a top engineering university
Job Description
About the Company
Our client is a seed-stage, deployment-first AI company founded in 2025 that works with enterprises and frontier AI labs to improve how AI performs in professional settings, starting with engineering and life sciences. It has raised $6M, has a team of about eight and is building the platform that runs AI agents and produces training and evaluation datasets from real professional work.
About the Role
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