Trace Machina is at the forefront of revolutionizing software development with NativeLink, our open-source simulation infrastructure platform. We build high-performance build caching and remote execution systems that significantly accelerate software compilation and testing. Our mission is to reduce infrastructure costs and optimize build workflows for organizations of all sizes, helping them scale and streamline their processes efficiently. We're pushing the boundaries of AI and machine learning to enhance NativeLink's capabilities. Our engineering team leverages cutting-edge technologies like AI and robotics to solve complex problems in software build optimization. Our tech stack includes Python and other data science programming languages with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas. We are committed to remote work and foster a collaborative environment. With our recent seed funding round, we are rapidly growing and looking to expand our team of talented engineers and data scientists. We are a small but growing company of 11-50 employees, working to build a scalable build system with many of the biggest companies in the world, and our engineering culture is one of innovation, collaboration, and continuous learning. We value a data-driven approach, encouraging our team to experiment and discover new ways to enhance our platform's performance. The company is based in Palo Alto, California, but is remote-first, allowing us to attract top talent globally. Our values are rooted in open-source principles, ensuring transparency and community involvement. Join us at Trace Machina, where you can make a tangible impact on the future of software development! We offer a competitive salary and benefits package, opportunities for professional development, and the chance to shape the evolution of high-performance build systems with AI/ML.