SandboxAQ
Senior Scientific Software Engineer, AI Simulation
Canada · Senior
Sponsorship not specifiedDetected 53 days ago
PythonGitCI/CDLinuxMachine LearningDeep LearningPyTorchscikit-learnNumPyLLMsEpicCollaboration
About the role
- Our team is seeking a Software Engineer to contribute to the development of computational chemistry tools, and bridge the gap from R&D prototypes to stable, well-test, production-ready implementations.
- We are looking for an experienced engineer who can enhance our team's work through the creation of clean software and collaboration with a team of computational chemists, physicists, AI experts, and software engineers.
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
- Manage dependencies, containerize, and integrate software into CI/CD pipelines
- Collaborate with the engineering team to build UI components
- Maintain and support production deployments of scientific software packages
- 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
Skills
- Bachelor's degree in a relevant scientific discipline (for example physics, chemistry, biology, or computer science)
- 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)
- Ability to rapidly write good quality code while not letting the perfect become the enemy of the good
- 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
- SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges.
Compensation
- Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits
- Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
- Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
Company info
- Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
- We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued.
- Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
Equal opportunity
- All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
- Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.
- If you need such an accommodation, please let a member of our Recruiting team know.
- Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Visa & Work Authorization
- ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
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This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.