"reproducible builds" Jobs
229 open tech roles matching “reproducible builds”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 229 results
Own the infrastructure for AI-driven software development at MaintainX, enhancing developer efficiency and collaboration.
Join Distyl AI as an Applied AI Researcher to redefine software usage and drive innovative benchmarking in AI systems.
Join MaintainX as a senior Infrastructure Developer to build AI-native cloud infrastructure for internal developers.
Join Pave as a Software Engineer to build the infrastructure that powers a leading compensation platform.
Join Neuralink as a Software Engineer to design and scale CI/CD platforms for groundbreaking brain-computer interface technologies.
Join insitro as a Staff Software Engineer to enhance imaging software and ML infrastructure in drug discovery.
Join Resolve AI as a Staff+ Software Engineer to build autonomous AI solutions for complex system issues.
Join Sprig as a Senior Platform Engineer to modernize CI/CD processes and enhance developer experience in an AI-driven environment.
Join Reflection AI as a Forward Deployed Engineer to fine-tune models and work directly with enterprise customers in a dynamic startup environment.
Join Atoms as a Senior Software Engineer to build core simulation systems for real-world robotics applications.
Join Vercel as a Security Software Engineer to enhance the security of open source frameworks like Turborepo and SvelteKit.
Join a fast-moving team as a Senior Robotics Test Engineer to enhance safety and efficiency in autonomous vehicle technology.
Lead a team of engineers to build infrastructure for training and evaluating ML models in a flat, innovative organization.
Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.
Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.