Scientific Software Engineer, AI Simulation

🕒 Maio 28

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

SandboxAQ

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

🤖 Inteligência Artificial

🔒 Cibersegurança

💊 Farmacêutico

Artificial Intelligence • Cybersecurity • Pharmaceuticals

A SandboxAQ é uma empresa que desenvolve tecnologias de IA quantitativa e inspiradas em quantum para resolver problemas reais em descoberta de medicamentos, ciência dos materiais, cibersegurança e navegação. Eles constroem grandes modelos quantitativos (LQMs) baseados em física e química para prever propriedades moleculares, acelerar o design terapêutico e simular processos químicos e catalíticos complexos, além de aplicar sua expertise em IA e criptografia pós-quântica para aprimorar a segurança digital e navegação em ambientes sem acesso a GPS.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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