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This is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment. As the Computational Physics Software Engineer, you will play a meaningful role in our AI team developing differentiable physics-based equipment inferencer environment within an AI-driven control engine.
Job Responsibility:
Build infrastructure: Develop and maintain infrastructure for a differentiable multi-physics simulation engine
Design interfaces: Develop an interface with the object model through Object Relational Mapping
Control path support: Provide an infrastructure to support PassiveLogic’s control path predictor and front-end simulation environments
Develop autonomous systems: Develop robust autonomous software that must run with no human supervision for decades
Ensure robust systems: Use thoughtful architecture design, documentation, unit testing, integration testing, profiling, and collaboration with the Formal Methods team to ensure this robustness
Collaboration: Collaborate with the Digital Twins team for physics optimization and collaborate with the Compiler team for accelerator approaches
Requirements:
Proven experience: Strong proficiency in systems programming languages such as Swift, Rust, C++, or Java, as well as appreciable software engineering skills in working with large codebases with non-trivial architecture, beyond just coding small (1000’s of lines) programs and scripts
Exceptional communication skills: Extraordinary teammate with excellent interpersonal skills
Organized and strategic: Experience with software design, design patterns, and software architecture
Collaborative mindset: Strong self-motivation towards PassiveLogic’s mission to “empower people through generative autonomy to solve the world's largest climate challenges.”
Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate
Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up
Experience with: Code performance and memory optimization
Concurrency, threads, processes, Lib-dispatch/GCD
GPU programming, high-performance computing, and scientific computing
Vector, SIMD, and tensor computational methods
Strong math, numerical methods, and analysis skills
Nice to have:
A relevant educational background: A BS, MS, or PhD in software engineering, computer science, applied mathematics, physics or other engineering degrees
Varied programming and domain experience: Experience with Swift programming language, auto-differentiation, systems modeling and algorithm development, fundamentals of building energy or electromechanical systems, and/or autonomous systems
Familiarity with the startup environment: Experience working and collaborating in a startup
What we offer:
Competitive compensation
Generous equity share package
Medical, dental and vision coverage
Disability and life Insurance options
Flex PTO
Team-building events
Free catered lunch in the office Monday — Friday
Free ski pass (We are at the base of Big Cottonwood Canyon)