June 3
🔄 Hybrid – San Francisco
• Collaborate with senior researchers and engineers to develop and improve software stack • Implement new algorithms for thermodynamic hardware simulation • Conduct tests and experiments to evaluate the effectiveness of thermodynamic models and software solutions • Maintain comprehensive documentation of software stack and provide internal support to researchers
• Strong experience with JAX is mandatory • Experience with debugging, maintaining, deploying python packages • Experience with scientific Python • Experience with version control tooling (e.g. git) and CI/CD tooling (e.g. GitHub actions) • Experience with writing and designing software documentation, and deploying it using standard tools (e.g. sphinx and readthedocs) • Knowledge of probability and linear algebra • Experience with infrastructure for machine learning experimentation and training in parallel/distributed environments (e.g. Slurm, Weights & Biases, etc.)
• Exciting opportunity to work with cutting-edge technology and hardware • Collaborative work environment with senior researchers and engineers • Opportunity to pioneer software development in thermodynamic models
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