[Remote] Senior Scientific Software Engineer, AI Simulation
Note: The job is a remote job and is open to candidates in USA. SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The Senior Scientific Software Engineer role involves developing computational chemistry tools and collaborating with a team to create reliable software for physics-based simulations and machine learning applications.
Responsibilities
- 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
Skills
- 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, designing and developing well-maintained software systems and collaborating with domain experts to design solutions that meet their needs
- 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
- Experience developing software for scientific applications
- Familiarity with open source scientific and molecular libraries such as OpenMM, RDKit, Scikit-learn
- Experience with modern deep learning architectures
- Experience with the drug discovery and drug development processes
Benefits
- Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
- 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.
Company Overview
Company H1B Sponsorship