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Senior Software Engineer
2 weeks ago
Lightricks, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting‑edge technology to the creative and business spaces.Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.What you will be doingAs an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of Lightricks’ machine learning inference systems. You’ll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. You’ll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering Lightricks' next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.ResponsibilitiesDesign and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniquesOptimize memory, compute, and data flow to meet real-time or high-throughput constraintsImprove the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutionsContribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flowsInvestigate performance bottlenecks at all levels of the stack—from Python to kernel-level executionNavigate and enhance a large, complex, production-grade codebaseDrive innovation in low-level system design to support future ML workloadsYour Skills and Experience5+ years of experience in high-performance software engineeringAdvanced proficiency in CUDA, C/C++, and Python, especially in production environmentsDeep understanding of GPU architecture, memory hierarchies, and optimization techniquesProven track record of optimizing compute-intensive systemsStrong system architecture fundamentals, especially around performance, concurrency, and parallelismAbility to independently lead deep technical investigations and deliver clean, maintainable solutionsCollaborative and team-oriented mindset, with experience working across functional teamsPreferred RequirementsExperience with low-level profiling and debugging tools (e.g., Nsight, perf, gdb, VTune)Familiarity with machine learning frameworks (e.g., PyTorch, TensorRT, ONNX Runtime)Contributions to performance-critical open-source or ML infrastructure projectsExperience with cloud infrastructure and GPU scheduling at scaleApply for Senior Software Engineer - ResearchOur headquarters are a one-of-a-kind indoor-outdoor office space that features beautiful ponds, gardens, a gym, restaurant, outdoor meeting areas, and most importantly, great people. For those living outside of the city, don’t worry, transportation is on us.Our brilliant minds in R&D take our products to the next level. Our areas of expertise include computer vision, machine learning, rendering, deep learning, computational photography, and augmented reality. Our tech team also boasts a leading research team, allowing Lightricks to remain an industry leader. #J-18808-Ljbffr
