Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Designing and optimizing GPU-accelerated ML inference systems for generative video models with an accent on low-level parallelism, CUDA, and systems architecture. Focus on enhancing runtime efficiency, solving performance bottlenecks, and contributing to production-grade ML pipelines.

Location: Onsite in central Israel

Company

hirify.global is an AI-first company that builds generative video models and products like Facetune and LTX Studio, used by hundreds of millions globally.

What you will do

• Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques.
• Optimize memory, compute, and data flow to meet real-time or high-throughput constraints.
• Improve the performance, reliability, and observability of the inference backend across diverse compute targets (CPU/GPU).
• Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions.
• Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows.
• Investigate performance bottlenecks at all levels of the stack—from Python to kernel-level execution.

Requirements

• 5+ years of experience in high-performance software engineering.
• Advanced proficiency in CUDA, C/C++, and Python, especially in production environments.
• Deep understanding of GPU architecture, memory hierarchies, and optimization techniques.
• Proven track record of optimizing compute-intensive systems.
• Strong system architecture fundamentals, especially around performance, concurrency, and parallelism.
• Ability to independently lead deep technical investigations and deliver clean, maintainable solutions.

Nice to have

• Experience 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 projects.
• Experience with cloud infrastructure and GPU scheduling at scale.

Culture & Benefits

• Daily door-to-door shuttles, Car-to-go subscriptions for several locations in central Israel, plus free parking and train-station pickups.
• Two chef-led restaurants on site by the Machneyuda Group, plus a bakery in the office.
• Empowerment with cutting-edge tools and learning opportunities through workshops, access to platforms, subscriptions, and clear guidelines for responsible AI use.
• Environment encouraging people to think, create, and explore for real impact through experimentation and collaboration.
• Focus on pushing the boundaries of what’s possible with AI and video for craft, challenge, and genuine innovation.