SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
Our team is seeking a Scientific Software Engineer to develop and maintain AI-accelerated computational chemistry tools, enabling breakthrough solutions for materials discovery. This role places you at the heart of pioneering advancements, where you'll be instrumental in advancing cutting-edge AI-powered material discovery software including sophisticated agentic AI systems focused on tasks like automated catalyst design. You will be working at the exciting intersection of physics-based simulations, advanced machine learning, generative AI, large-scale data processing, and massively parallel computing. As our portfolio of capabilities expands, leveraging these cutting-edge areas and modern deep learning architectures, we require reliable, efficient, and scalable software to drive our AI-driven scientific explorations.
We are looking for an experienced engineer to create robust and maintainable software by collaborating closely with computational chemists, physicists, AI experts, and software engineers to transform scientific prototypes into scalable products that redefine materials science.
The US base salary range for this full-time position is expected to be $154K - $256K per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
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