Senior Software Engineer (AI/ML)

TL;DR

Senior Software Engineer (AI/ML): Designing and implementing highly optimized GPU-accelerated ML inference systems with an accent on low-level parallelism and performance tuning. Focus on enhancing runtime efficiency across heterogeneous computing environments and building production-grade ML pipelines for next-generation AI products.

Location: Onsite in Haifa, Israel

Company

hirify.global is an AI-first company creating next-generation content creation technology, known for pioneering consumer creativity with products like Facetune and an open-source generative video model, LTX-2.

What you will do

• Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism.
• 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 to deliver efficient and scalable inference solutions.
• Contribute to ComfyUI and internal infrastructure to improve model execution flows.
• Investigate performance bottlenecks and drive innovation in low-level system design for future ML workloads.

Requirements

• 5+ years of experience in high-performance software engineering.
• Advanced proficiency in CUDA, C/C++, and Python 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

• Environment that encourages people to think, create, and explore.
• Empowerment to experiment, evolve, and elevate together for real impact.
• Collaborative mindset with a focus on deep tech and creative energy.
• Commitment to a zero-buzzword culture.