Leveraging AQ - the powerful compound effects of AI + Quantum technology
Scientific Software Engineer, AI Simulation
Location
United States
Posted
6 hours ago
Salary
$121.6K - $228K / year
Seniority
Senior
Job Description
Scientific Software Engineer, AI Simulation
SandboxAQ
• 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
Job 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
- 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
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
• Sustentação do ambiente, mas principalmente planejar a migração para as novas tecnologias adotadas pela empresa • Oferecer mentoria aos membros da equipe para ajudá-los a aprimorarem suas habilidades de desenvolvimento, conforme necessário • Trabalhar lado a lado com o gerente de engenharia de software e com as equipes de arquitetura e produtos • Realizar pull requests e revisões de código voltadas para as melhores práticas de codificação e para questões de segurança • Trabalhar junto com áreas de produtos para criar boas estimativas de entrega • Coordenar os lançamentos da produção e cumprir tarefas fora das horas regulares de trabalho quando isso for necessário • Oferecer mentoria para os desenvolvedores aprimorarem suas habilidades de forma a aumentar a qualidade geral da equipe • Capacidade de comunicar conceitos, ideias e tópicos técnicos para profissionais não-técnicos
Pessoa Desenvolvedora Fullstack Sênior
BHSTransformamos negócios através da tecnologia gerando resultados de impacto.
• Desenvolver sistemas web utilizando C# .Net e Angular.
Junior Software Engineer
UrrlyEmpowering People and Property Management companies with future proof staffing solutions.
• Build modern web app features. • Work across front-end and back-end systems. • Use AI coding agents to solve real problems. • Learn the stack through guided, hands-on work. • Sandbox ideas before moving them into product. • Help modernize older products into newer systems. • Ship features that support public safety workflows.
Senior Software Engineer, GTM Engineering
VantaVanta is the leading trust management platform that helps simplify & centralize security for organizations of all sizes.
• Build and ship applications that accelerate Vanta's GTM efforts: from AI-powered workflows that automate prospecting and account research to internal tools that improve rep productivity and pipeline velocity • Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems • Partner closely with Sales, Technical Success, and Revenue Operations to identify high-leverage opportunities, understand user needs, and build for them • Apply AI and modern technologies in novel ways to systematize and automate GTM workflows (e.g., pipeline generation, deal preparation, renewal velocity, scoring and routing) • Design, develop, and maintain internal-facing web applications and AI-driven agents using a mix of frameworks, APIs, and code (Python, TypeScript, SQL) • Ship reliable, maintainable systems with technical documentation, monitoring, and testing frameworks to ensure adoption and observability • Translate learnings from customer-facing work into feedback for product and research teams to inform broader product development • Evaluate and implement new technologies, orchestration tools, and AI platforms with a clear "build vs. buy" perspective




