Systems Software Engineer

2 weeks ago

Austin, United States Understanding Recruitment Full time

About the Company : For three years, we have been the silent titan in stealth R&D, painstakingly crafting a technology platform that stands poised to redefine neural network computing. Our founders, trailblazers in the new physics of metamaterials, have forged spatial light modulators that set new benchmarks in speed, density, and power efficiency. This technological marvel, paired with conventional optoelectronics, is the key to unlocking an optical computing reality far beyond today’s expectations. With our first public funding round secured, we are on a path from secretive innovation to industry disruption, ready to expand our team and actualize our Optical Computing Platform. About the Role : As a Systems Software Engineer, you will craft the very fabric of next-gen AI algorithms on our optical accelerator chip. This is where simulation transcends its theoretical confines – your models will reflect the real-world performance of AI algorithms, offering a crystal-clear window into metrics like latency, throughput, and power efficiency. Your expertise will be the bridge connecting the raw power of our hardware with the nuanced requirements of modern data centers. Key Responsibilities : Engineer software models to mirror AI algorithms on our hardware, honing in on efficiency and performance metrics. Collaborate with engineering and data center teams, translating hardware specs into simulation models and integrating client feedback. Analyze and benchmark AI algorithm performance, ensuring our models stay at the vanguard of the AI industry. Qualifications : Demonstrated proficiency in AI software development, simulation, and a thorough understanding of computer architecture. Hands-on experience with AI coding, training, and deploying machine learning models, showcasing a command over languages like Python and C++. An advanced degree in Computer Science, Electrical Engineering, or a related field, cementing your expertise in this cutting-edge domain. Key Skills: AI Algorithms, Software Modeling, Hardware Acceleration, Optical Computing, Neural Networks, Performance Metrics, Python, C++, Data Center Operations, Simulation, Compilers, LLVM, XLA, TVM, MLIR

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