SandboxAQ

Compensation

Full Description

Job Description: • Maintain and extend existing scientific software packages, and drive the full lifecycle of new ones: • Architect and implement cutting-edge scientific and ML software alongside subject matter experts • Adopt current practices and ensure stability through testing • Work closely with the Engineering Team to deploy these modules into the SandboxAQ’s simulation platform: • Manage dependencies, containerize, and integrate software into CI/CD pipelines • Integrate with the compute and data backends • Define API endpoints and schemas • Collaborate with the engineering team to build UI components • Maintain and support production deployments of scientific software packages • Foster a work culture of curiosity and kindness Requirements: • Bachelor's degree in a relevant scientific discipline (for example physics, chemistry, biology, or computer science) • At least 5 years professional experience in software development • Strong Python proficiency including experience with numeric and performance libraries like Numpy • Experience with ML libraries like PyTorch • Experience with relevant development tools and environments (git, Unix/Linux, cloud-based platforms, containerization) • Experience using LLM tools and coding harnessed to build quickly while producing understandable, secure, maintainable code that’s a strong foundation for long-term development. • Ability to rapidly write good quality code while not letting the perfect become the enemy of the good • Ability to devise, communicate internally and own technical roadmaps, in a self-directed environment • Desire to work in a fast-paced team with diverse professional experiences and viewpoints Benefits: • Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions • Retirement savings with company matching • Paid parental leave • Inclusive family-building benefits • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements that enable sustainable performance • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs