MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.
Why does MWDN rock?:
Here’s what you can expect when you join MWDN:
- Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
- Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
- Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
- Professional development: We offer English courses and professional growth opportunities, as well as team-building events.
Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team.
What is your new project?:
We’re looking for a highly technical engineer or researcher with deep expertise in GPU computing, CUDA, and LLM inference optimization to work on challenging problems at the intersection of AI systems and high-performance computing.
This opportunity is ideal for someone who enjoys understanding how things work under the hood — from GPU architecture and low-level kernels to LLM inference engines and performance bottlenecks.
What makes this project exciting?:
- Investigate and optimize LLM inference performance on modern GPUs.
- Work with inference and serving frameworks such as vLLM, SGLang, TensorRT-LLM, or similar systems.
- Analyze GPU execution, memory access patterns, kernel performance, and inference bottlenecks.
- Develop, optimize, debug, or reverse-engineer CUDA kernels and low-level GPU operations.
- Explore optimization techniques for matrix multiplication, attention mechanisms, and neural network layers.
- Benchmark performance and identify opportunities to improve latency, throughput, and GPU utilization.
- Work on technically challenging problems requiring strong analytical thinking and hands-on experimentation.
What makes you a great fit:
- Strong hands-on experience with CUDA and GPU programming.
- Deep understanding of GPU architecture, memory hierarchy, parallel execution, and performance optimization.
- Experience with 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.
- Experience debugging complex performance issues and investigating low-level system behavior.
- Strong problem-solving skills and the ability to communicate complex technical concepts in English.
Nice to have
- PhD or research experience in Computer Science, Machine Learning, Computer Architecture, or a related field.
- Publications, research projects, or meaningful contributions to open-source GPU/LLM infrastructure.
- Experience with PyTorch internals, distributed inference, quantization, KV cache optimization, or custom GPU kernels.
- Contributions to projects such as vLLM, SGLang, Triton, FlashAttention, or related repositories.
Why work with us?:
- People-first management with minimal bureaucracy
- A friendly company culture, proven by employees who choose to return
- Flexible working hours
- 29 days of PTO (18 working days per year pluse all national holidays)
- 10 paid recovery days
- Full financial and legal support for independent contractors
- Free English classes, with native speakers or Ukrainian teachers
- Dedicated HR support
MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.
Why does MWDN rock?:
Here’s what you can expect when you join MWDN:
- Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
- Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
- Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
- Professional development: We offer English courses and professional growth opportunities, as well as team-building events.
Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team.
What is your new project?:
We’re looking for a highly technical engineer or researcher with deep expertise in GPU computing, CUDA, and LLM inference optimization to work on challenging problems at the intersection of AI systems and high-performance computing.
This opportunity is ideal for someone who enjoys understanding how things work under the hood — from GPU architecture and low-level kernels to LLM inference engines and performance bottlenecks.
What makes this project exciting?:
- Investigate and optimize LLM inference performance on modern GPUs.
- Work with inference and serving frameworks such as vLLM, SGLang, TensorRT-LLM, or similar systems.
- Analyze GPU execution, memory access patterns, kernel performance, and inference bottlenecks.
- Develop, optimize, debug, or reverse-engineer CUDA kernels and low-level GPU operations.
- Explore optimization techniques for matrix multiplication, attention mechanisms, and neural network layers.
- Benchmark performance and identify opportunities to improve latency, throughput, and GPU utilization.
- Work on technically challenging problems requiring strong analytical thinking and hands-on experimentation.
What makes you a great fit:
- Strong hands-on experience with CUDA and GPU programming.
- Deep understanding of GPU architecture, memory hierarchy, parallel execution, and performance optimization.
- Experience with 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.
- Experience debugging complex performance issues and investigating low-level system behavior.
- Strong problem-solving skills and the ability to communicate complex technical concepts in English.
Nice to have
- PhD or research experience in Computer Science, Machine Learning, Computer Architecture, or a related field.
- Publications, research projects, or meaningful contributions to open-source GPU/LLM infrastructure.
- Experience with PyTorch internals, distributed inference, quantization, KV cache optimization, or custom GPU kernels.
- Contributions to projects such as vLLM, SGLang, Triton, FlashAttention, or related repositories.
Why work with us?:
- People-first management with minimal bureaucracy
- A friendly company culture, proven by employees who choose to return
- Flexible working hours
- 29 days of PTO (18 working days per year pluse all national holidays)
- 10 paid recovery days
- Full financial and legal support for independent contractors
- Free English classes, with native speakers or Ukrainian teachers
- Dedicated HR support
