Software Engineer in high-performance computing developing AI models for hardware design iterations. Owning physics simulation pipeline and critical product features in a hybrid environment.
Responsibilities
Own the automated physics simulation data generation pipeline for various scenarios which involved solving steady and unsteady PDEs
Specifically elasticity, plasticity -- steady and transient phenomena modeling
Assist in the strategy, planning the product roadmap, and prioritizing the development in partnership with design partners and early customers
Build and ship critical product features
Learn a lot while building products that engineers will love
Requirements
5+ years of experience developing and shipping features in high-performance and scientific computing.
Proficiency in programming languages/tools: C++, CUDA/Hip, Python, JAX,
Deep expertise in the field of numerical simulation of a physical system, you have developed your own FEA code in C++ or CUDA/Hip
Experience in parallel programming and optimization techniques
Knowledge of algorithms, and data structures
Masters/Ph.D. degree in Engineering, Scientific Computing related field.
You are excited about building an AI model + GPU accelerated geometry and physics engine for various design problems (e.g. heat dissipation system for chips to landing gears)!
You are excited about entrepreneurship, taking things from 0 to 1, and have a continuous learning mindset.
You thrive when you have autonomy and ownership over your work
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