CUDA Engineer

This is a fully remote position, open to applicants in Croatia.

📋 Description

• Investigate and enhance the performance of LLM inference on contemporary GPUs.

• Collaborate with inference and serving frameworks such as vLLM, SGLang, TensorRT-LLM, or comparable systems.

• Analyze GPU execution, memory access patterns, kernel performance, and identify inference bottlenecks.

• Develop, optimize, debug, or reverse-engineer CUDA kernels and low-level GPU operations.

• Explore optimization strategies for matrix multiplication, attention mechanisms, and neural network layers.

• Benchmark performance and pinpoint opportunities to enhance latency, throughput, and GPU utilization.

• Engage in technically demanding AI systems and high-performance computing challenges.

• Conduct hands-on experimentation and share insights in a technical team setting.

⛳️ Requirements

• Extensive practical experience with CUDA and GPU programming.

• Profound understanding of GPU architecture, memory hierarchy, parallel execution, and performance optimization.

• Background in LLM inference, AI systems, GPU kernels, or high-performance computing.

• Familiarity with vLLM, SGLang, TensorRT-LLM, Triton, or FlashAttention.

• Experience in diagnosing complex performance issues and analyzing low-level system behavior.

• Strong analytical and problem-solving abilities.

• Capacity to articulate complex technical concepts in English.

• PhD or research experience in Computer Science, Machine Learning, Computer Architecture, or a related discipline (preferred).

• Publications, research projects, or significant contributions to open-source GPU/LLM infrastructure (preferred).

• Familiarity with PyTorch internals, distributed inference, quantization, KV cache optimization, or custom GPU kernels (preferred).

• Contributions to vLLM, SGLang, Triton, FlashAttention, or related repositories (preferred).

🏝️ Benefits

• Security through client vetting to mitigate risks and ensure dependable, timely payments.

• Career support and assistance in securing new projects.

• Legal guidance for setting up independent contractors or sole proprietorships, taxes, and related processes.

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Flexible working hours.

• 29 days of PTO (18 working days per year plus all national holidays).

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.