About the job
Join Lightricks, an innovative AI-driven company dedicated to revolutionizing content creation technology for businesses and studios. Our mission is to seamlessly connect creativity and production, spearheaded by our flagship product, LTX-2—an open-source generative video model that delivers top-notch, high-fidelity video output at unparalleled speeds. This cutting-edge model fuels our proprietary applications and a burgeoning network of partners via API integrations.
Globally recognized for pioneering consumer creativity with award-winning products like Facetune, Lightricks empowers millions worldwide to express their visual creativity through AI-enhanced tools. We blend thorough research, user-centered design, and comprehensive execution to shape the future of creative expression.
Why Work With Us?
At Lightricks, we are committed to redefining the limits of AI and video technology—not for mere recognition, but for the love of craftsmanship, the thrill of tackling challenges, and the opportunity to create something genuinely transformative.
We foster an environment that encourages ingenuity and exploration. Real progress occurs when individuals are empowered to innovate and collaborate. Here, every significant breakthrough is rooted in a team-oriented mindset and exceptional talent. If you are seeking a workplace that merges advanced technology with creative passion, you may have found your perfect fit.
Your Role
As a Senior Machine Learning Software Engineer specializing in low-level and CUDA-based optimizations, you will be instrumental in defining the architecture, performance, and scalability of our machine learning inference systems. You will tackle complex technical challenges at the crossroads of GPU acceleration, systems architecture, and machine learning deployment. Your skills in CUDA, C/C++, and performance optimization will be vital to improving runtime efficiency across diverse computing environments. Collaborating with designers, researchers, and backend engineers, you will create production-ready ML pipelines that prioritize latency, throughput, and memory efficiency, directly impacting the infrastructure behind Lightricks' advanced AI offerings.
This position is ideal for an engineer possessing robust systems-level thinking, in-depth knowledge of GPU internals, and a fervor for enhancing performance and efficiency in machine learning frameworks.
