Senior Backend Engineer, AI Sim
SandboxAQ
Location
United States
Employment Type
Full time
Location Type
Remote
Department
AI Simulation
Deadline to Apply
February 2, 2026 at 3:00 AM EST
Compensation
- Tier 1$158K – $221K
- Tier 2$134K – $191.2K
At SandboxAQ, we are committed to competitive, equitable, and transparent compensation; we continuously benchmark our salaries and total compensation to premium markets to ensure our competitiveness. Individual pay within the above range is determined by job-related skills, experience, education, and geographic location.
With a focus on pay equity and ensuring opportunity for future salary progression, our typical practice is to hire within the first half of the base salary range for a given role and level. This approach allows us to reward performance and increasing expertise consistently as your career develops with us.
We use two geographic pay tiers to reflect the pay differences in local markets:
Tier 1: Applies to candidates located within 75 miles of San Francisco, Los Angeles, Seattle, and New York.
Tier 2: Applies to candidates located in all other Locations in the US.
About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
About the Role
SandboxAQ is seeking a backend engineer generalist to contribute to our drug discovery and chemistry simulation platform. You’ll get exposure to a wide variety of areas, including:
Core application development - we’re building a platform that powers our R&D in life sciences and chemistry simulation. You will contribute to its core functionalities, APIs, and data and control planes.
DevOps - you will contribute to build, testing, and deployment pipelines for a complex set of build artifacts and IaC-managed infrastructure.
User and product work - you will work closely with the researchers that are using the software you’re building and you’ll immediately get to see your impact. You’ll work with the product team to gather and prioritize the feedback.
You’ll bring experience writing high-quality, readable, well-tested code. You will have experience with API design, database fundamentals, and CI/CD pipelines. You’re entrepreneurial and customer-obsessed. Most importantly, you’ll bring a track record of working in a fast-moving software development team, exploring new technologies, and solving problems across an entire software stack.
What You’ll Do
Contribute to the development of SandboxAQ’s chemistry and life sciences simulation platform.
Work closely with users and members of the product team to measure the impact of the code you develop on users, gather feedback, and iterate on your software.
Participate in planning, design, and sprint ceremony meetings.
Embed closely with R&D teams to assist in delivering project goals and drive adoption of practices and tooling.
Collaborate closely with the product team and internal stakeholders in all phases of software development to validate the solutions you propose and implement.
In collaboration with the rest of the engineering team, build and manage infrastructure for SandboxAQ’s simulation and data platform.
Review code and participate in design and architectural discussions.
About You
3+ years of experience with Python with knowledge of software design principles and architectural patterns.
Comfort writing clean, readable, well-tested, maintainable code.
Experience with at least one major cloud provider. GCP preferred.
Excellent communication and collaboration skills, with the ability to effectively influence a cross-functional team.
Experience with building REST APIs and knowledge of best practices.
Knowledge of cloud orchestration technologies like K8s or batch-type systems as well as workflow management tools (Airflow or similar)
Knowledge of database systems and related concepts: ORMs, schemas, and transactional vs. analytic systems.
Exposure to Terraform or another IaC system, along with DevOps and GitOps.
Knowledge of CI/CD best practices and building CI/CD pipelines.
Nice to have
Domain experience in advanced materials, drug discovery, cheminformatics, or other areas of chemistry or biology, especially experience with AI systems applied to these domains.
Delivering scientific code for R&D projects, especially in the simulation and numerical optimization domains
HCP systems, GPU programming and optimization
AI applications in knowledge graphs, AI agents, and multi-agent systems.
SandboxAQ Welcomes All
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.
Equal Employment Opportunity: 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
Compensation Range: $134K - $221K