Scientific Software Engineer, AI Simulation

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $121.600 - $228.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of SandboxAQ

SandboxAQ

51 - 200 Mitarbeiter

Gegründet 2021

🤖 Künstliche Intelligenz

🔒 Cybersecurity

💊 Pharmazie

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ ist ein Unternehmen, das quantitative KI- und quanteninspirierte Technologien entwickelt, um reale Probleme in den Bereichen Arzneimittelforschung, Materialwissenschaft, Cybersicherheit und Navigation zu lösen. Sie erstellen große quantitative Modelle (LQMs), die auf physikalischen und chemischen Grundlagen beruhen, um molekulare Eigenschaften vorherzusagen, therapeutische Designs zu beschleunigen und komplexe chemische und katalytische Prozesse zu simulieren, während sie auch ihr Fachwissen in KI und Post-Quanten-Kryptografie einsetzen, um digitale Sicherheit und Navigation in GPS-losen Umgebungen zu verbessern.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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

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