Scientific Software Engineer, AISim
Scientific Software Engineer, AISim
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$ 154 - 256
1 Vacancy
Job Description
About SandboxAQ
SandboxAQ is a highgrowth company delivering AI solutions that address some of the worlds greatest challenges. The companys Large Quantitative Models (LQMs) power advances in life sciences financial services navigation cybersecurity and other sectors.
We are a global team that is techfocused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties. The company emerged from Alphabet Inc. as an independent growth capitalbacked company in 2022 funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds epic challenges. Join us to advance your career in pursuit of an inspiring mission in a community of likeminded people who value entrepreneurialism ownership and transformative impact.
About the Role
Our team is seeking a Scientific Software Engineer to develop and maintain AIaccelerated computational chemistry tools enabling breakthrough solutions for materials discovery. This role places you at the heart of pioneering advancements where youll be instrumental in advancing cuttingedge AIpowered material discovery software including sophisticated agentic AI systems focused on tasks like automated catalyst design. You will be working at the exciting intersection of physicsbased simulations advanced machine learning generative AI largescale data processing and massively parallel computing. As our portfolio of capabilities expands leveraging these cuttingedge areas and modern deep learning architectures we require reliable efficient and scalable software to drive our AIdriven 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.
What Youll Do
- Maintain and extend existing scientific software packages and drive the full lifecycle of new ones
- Architect and implement cuttingedge scientific and ML software alongside subject matter experts
- Adopt current practices and ensure stability through testing
- Accelerate use of these packages through AI agents
- Work closely with the clientfacing Material Discovery Team to identify needs and help with technical challenges
- Improve prototypes of novel scientific tools to overcome bottlenecks and instabilities.
- Offer oversight and guidance for performing missioncritical computational scientific work
- Provide clear and uptodate documentation
- Work closely with the Engineering Team to build on top of the groups cloud infrastructure
- Manage dependencies and integrate software into CI/CD pipelines
- Adapt software to different commercial cloud backends
- Foster a work culture of curiosity and kindness
About You
- Degree in a relevant scientific discipline (for example computer science computer engineering physics chemistry chemical engineering materials science or a related field)
- At least 5 years professional experience (of which 3 in a nonacademic setting) in software development designing and developing wellmaintained software systems and collaborating with domain experts to design solutions that meet their needs
- Strong Python proficiency including experience with numeric and performance libraries (e.g. Numpy Pytorch)
- Experience with relevant development tools and environments (e.g. git Unix/Linux cloudbased platforms containerization)
- Ability to balance rapid software delivery with software quality
- Ability to devise communicate internally and own technical roadmaps in a selfdirected environment
- Desire to work in a fastpaced team with diverse professional experiences and viewpoints
Nice to Haves
- Experience developing software for scientific applications
- Familiarity with open source scientific libraries such as ASE FairChem Scikitlearn
- Experience building agentic AI solutions including designing developing and implementing autonomous agents (e.g. Langchain and Langgraph)
- Experience with workflow management platforms (e.g. Apache Airflow)
- Experience with modern deep learning architectures
- Experience with the material discovery and material development processes
The US base salary range for this fulltime 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 jobrelated skills experience and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
SandboxAQ welcomes all.
Employment Type
Full-Time
