Senior Project Engineer leading Smart Manufacturing projects at Cargill to enhance process efficiency. Focus on engineering new technologies and improving existing manufacturing systems.
About the role
- 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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