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Principal Software Engineer – Physics

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    Software Engineer, Software Architect, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Principal Software Engineer – Physics Applications

Responsibilities

  • Define and implement high-quality, reusable software libraries for our core simulation engine.
  • Drive code quality, testability, and architectural standards across the team, ensuring our production system scales gracefully and remains maintainable.
  • Design interfaces that are easy to access and correctly reflect the physics they are modeling.
  • Take ownership of critical system components, mentor junior engineers, and guide the team in transforming research prototypes into hardened, customer-facing features.
  • Collaborate closely with a team of Physicists, AI researchers, Software Engineers and Computational Geometry experts to enforce software engineering best practices throughout the full development lifecycle, from ideation to deployment.
Requirements
  • 8+ years of experience in high-quality software development, with significant experience designing and building production-grade systems.
  • Prior experience with scientific computing or physics simulators (FEM, FEA, Molecular Dynamics, FDTD), or large-scale machine learning systems.
  • STEM MSc, PhD preferred but not required.
  • Demonstrated ability to lead technical initiatives focused on code health, modularity, and system correctness.
  • Expertise in building robust, tested, and maintainable software libraries and APIs.
  • Strong proficiency in modern software development practices, including system design, agentic coding, testing frameworks, and continuous integration/delivery (CI/CD).
  • Have contributed to a production data processing system.
  • Experience building and maintaining core ML, data infrastructure, or numerical computing software (e.g., PyTorch, Numpy, Cuda, distributed systems).
  • Experience going from early-stage prototype to a production environment.
  • Experience at a Startup or National Lab.
  • Have leveraged simulation for design or data generation purposes.
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