Senior Scientific Software Engineer, AI Simulation

🕒 May 29

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SandboxAQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

💊 Pharmaceuticals

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

📋 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, 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

🏖️ 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