Scientific Software Engineer, AI Simulation

🕒 il y a 11 jours

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SandboxAQ

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2021

🤖 Intelligence artificielle

🔒 Cybersecurity

💊 Pharmaceutique

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ est une entreprise développant des technologies d'IA quantitative et inspirées par la physique quantique pour résoudre des problèmes concrets dans les domaines de la découverte de médicaments, la science des matériaux, la cybersécurité et la navigation. Ils construisent de grands modèles quantitatifs (LMQ) fondés sur la physique et la chimie pour prédire les propriétés moléculaires, accélérer la conception thérapeutique et simuler des processus chimiques et catalytiques complexes, tout en appliquant leur expertise en IA et en cryptographie post-quantique pour améliorer la sécurité numérique et la navigation dans des environnements privés de GPS.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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