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# Founding Engineer (Systems + ML)

- **Company:** Recruiting from Scratch
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Hardware Design, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Software Engineering, Software Systems, Scripting, Pytorch, Software Coding, Programming Languages
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/founding-engineer-systems-ml-san-francisco-ca--626e9609-5029-4f50-aebd-26535c46e9f8

## About the Role

Systems Engineering, Systems Engineering, Funding, Artificial Intelligence (AI), Startup, Leading Edge Technology, Machine Learning, Process Improvement, Software Development, Python Programming/Scripting Language, * 0-5 years of experience in software engineering or machine learning.

 * Proficiency in Python and experience with PyTorch.
 * Familiarity with C/C++ and Rust programming languages.
 * Strong problem-solving skills and ability to work collaboratively in a team environment.
 * Passion for hardware and AI technologies, with a desire to innovate.

Preferred

 * Experience with machine learning frameworks and algorithms.
 * Background in hardware development or engineering.
 * Familiarity with performance optimization techniques and tools.
 * Previous involvement in startup environments or fast-paced projects.

## Description

* Design and implement machine learning models to optimize chip design processes.
 * Collaborate with a small, agile team to develop robust software solutions.
 * Utilize Python and PyTorch to build scalable applications that enhance system performance.
 * Engage in hands-on coding in C/C++ and Rust to create high-performance algorithms.
 * Contribute to the entire software development lifecycle, from concept to deployment.
 * Analyze system metrics to identify areas for improvement and implement solutions.
 * Support cross-functional teams in integrating machine learning capabilities into existing systems.