[Remote] Staff Software Engineer, Life Sciences

Note: The job is a remote job and is open to candidates in USA. SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. As a Staff Software Engineer within their AI Simulation group, you will act as the primary technical bridge between core Large Quantitative Models and client contracts, ensuring technical enablement and success of critical partnerships.ResponsibilitiesOrchestrate 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 contractsArchitect 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 workflowsDrive Cross-Functional Collaboration: Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirementsScale and Optimize Infrastructure: Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecyclePioneer Technical Integration: Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challengesSkills7+ years of professional software development experience, with deep proficiency in Python and modern architectural patternsProven ability to operate independently in high-ambiguity environments, moving from ideation to functional code with high velocityHands-on experience with cloud orchestration (Kubernetes, Batch systems) and workflow management tools like AirflowTechnical 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 environmentsDomain expertise in drug discovery, cheminformatics, or advanced materialsExperience delivering scientific code for R&D projects involving simulation or numerical optimizationFamiliarity with High-Performance Computing (HPC), GPU programming, and optimizationExposure to AI applications involving knowledge graphs, AI agents, or multi-agent systemsBenefitsCompetitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributionsRetirement savings with company matchingPaid parental leaveInclusive family-building benefitsFlexible paid time offCompany-wide seasonal breaksSupport for flexible work arrangements that enable sustainable performanceOpportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programsCompany OverviewSandboxAQ develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees. Its website is https://www.sandboxaq.com.Company H1B SponsorshipSandboxAQ has a track record of offering H1B sponsorships, with 7 in 2025, 6 in 2024, 3 in 2023, 5 in 2022, 1 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.