SandboxAQ

Staff Software Engineer, Life Sciences

United States · Staff+

Sponsorship not specifiedDetected 35 days ago

PythonKubernetesTerraformRESTData EngineeringAgentic AIEpicResearchCollaboration

About the role

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.
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.

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.
Technical expertise in building REST APIs, managing database systems (ORMs, schemas), and utilizing Infrastructure as Code (Terraform).

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.
Entrepreneurial mindset with a track record of shipping systems in fast-moving, customer-facing environments.
Domain expertise in drug discovery, cheminformatics, or advanced materials.
Experience delivering scientific code for R&D projects involving simulation or numerical optimization.
Familiarity with High-Performance Computing (HPC), GPU programming, and optimization.
Exposure to AI applications involving knowledge graphs, AI agents, or multi-agent systems.
Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued.
Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties.
At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact.

All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.
If you need such an accommodation, please let a member of our Recruiting team know.
Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status

This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.