Staff Forward Deployed Engineer in AI simulation at SandboxAQ, ensuring technical success of key partnerships. Collaborating with scientists to tackle drug discovery and chemical simulation challenges.
Responsibilities
Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts.
Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows.
Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements.
Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle.
Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges.
Requirements
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.
Domain expertise in drug discovery, cheminformatics, or advanced materials is highly desired.
Experience delivering scientific code for R&D projects involving simulation or numerical optimization is highly desired.
Familiarity with High-Performance Computing (HPC), GPU programming, and optimization is highly desired.
Exposure to AI applications involving knowledge graphs, AI agents, or multi-agent systems is highly desired.
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
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