About the Company

Company Name: Soniox
Location: Ljubljana, Slovenia
Website: soniox.com

About the Role

Job Title: GPU Kernels Engineer
Employment Type: Full-time
Department: Engineering

Responsibilities

• Design and implement custom GPU/CPU kernels to maximize hardware throughput and efficiency.
• Optimize for HBM utilization, instruction issue rate, cache locality, and memory bandwidth.
• Collaborate with platform and infrastructure teams to integrate and deploy kernels at scale.
• Develop low-precision kernels and quantization-aware techniques to reduce compute without compromising ML accuracy.
• Partner with ML engineers to co-design model architectures optimized for real-time training and inference.
• Work directly with hardware vendors to advise on architecture direction and co-design opportunities.

Qualifications

You might thrive in this role if you:

• Write excellent C/C++ and Python code and enjoy writing fast, clean low-level systems.
• Have a deep understanding of GPU (especially CUDA), CPU, or AI accelerator architectures.
• Know how to optimize every part of a compute kernel — from memory layout to instruction scheduling.
• Have experience working on large-scale ML training infrastructure, ideally for LLMs or real-time AI models.
• Are skilled in quantization and low-precision computation for modern ML workloads.
• Thrive on performance benchmarks and obsess over every percentage point of speedup.
• Have 3+ years of experience in high-performance computing, ML infrastructure, or systems-level optimization.

Benefits

• Help build one of the most technically advanced AI platforms in the world.
• Work directly with a world-class team of engineers and researchers solving frontier problems in speech and language AI.
• Have a voice in how the company grows, how customers succeed, and how AI transforms human communication.