CUDA Engineer

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

📋 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 similar technologies.

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

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

• Research optimization methods for matrix multiplication, attention mechanisms, and neural network layers.

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

• Tackle technically demanding challenges that require analytical thinking and practical experimentation.

⛳️ Requirements

• Extensive hands-on experience with CUDA and GPU programming.

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

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

• Familiarity with one or more frameworks such as vLLM, SGLang, TensorRT-LLM, Triton, or FlashAttention.

• Proven experience in diagnosing complex performance issues and exploring low-level system behaviors.

• Strong problem-solving abilities.

• Capability to convey complex technical concepts in English.

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

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

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

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

🏝️ Benefits

• Security through client vetting to minimize risks and ensure reliable, timely payments.

• Career support and assistance in discovering new opportunities.

• Legal assistance regarding independent contractor or sole proprietorship status, taxes, and related processes.

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Flexible working hours.

• 29 days of paid time off (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.