Staff Software Engineer, SandboxAQ

• This role demands a "startup" mindset: the seniority to lead a project's technical vision and the humility to execute any task necessary to move the mission forward
• 7+ years of professional software development experience, with deep proficiency in Python and modern architectural patterns
• Proven ability to operate independently in high-ambiguity environments, moving from ideation to functional code with high velocity
• Hands-on experience with cloud orchestration (Kubernetes, Batch systems) and workflow management tools like Airflow
• Technical expertise in building REST APIs, managing database systems (ORMs, schemas), and utilizing Infrastructure as Code (Terraform)
• Entrepreneurial mindset with a track record of shipping systems in fast-moving, customer-facing environments

Desirable

• As a Staff Software Engineer within our AI Simulation group, you will act as the primary technical bridge between our core Large Quantitative Models (LQMs) and our most ambitious client contracts
• This is a high-agency "builder" role designed for a resourceful generalist who thrives on autonomy and is passionate about tackling the hardest challenges in drug discovery and chemical simulation
• You will be embedded directly with internal scientific delivery teams, operating at the frontiers of knowledge where fundamental research converges with practical, real-world impact
• Your central purpose is to ensure the technical enablement and success of our most critical partnerships
• You will be expected to independently discern complex bottlenecks, architect custom solutions, and orchestrate compute at scale
• Whether you are wrapping scientific application logic, managing massive data transformations, or integrating with Agentic systems, you will own the entire lifecycle of your deployments
• Orchestrate Technical Delivery: Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts
• Architect and Develop Solutions: Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows
• Drive Cross-Functional Collaboration: Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements
• Scale and Optimize Infrastructure: Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle
• Pioneer Technical Integration: Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges