לוח משרות דרושים הייטק AI  בהוד השרון

Requirements:
Bachelor degree or higher in Computer Engineering / Computer Science or equivalent
At least 3 of the following:
o Advanced hands-on proficiency in Python and C/C++
o Deep expertise with PyTorch and other deep learning frameworks
o Comprehensive understanding of transformer architecture (Attention, MLP, KV cache)
o Proven experience with LLM serving frameworks and optimization techniques
o Strong system-level understanding of hardware accelerators
5+ years of relevant engineering experience
Excellence in system design and architecture
Track record of building and optimizing infrastructure components
Demonstrated ability to solve complex technical challenges
Strong research capabilities and quick learning ability
Outstanding collaborative and communication skills, ability to work as part of an international team
Innovative thinking
Ways to stand out from the crowd:
Ph.D. in Computer Science, Machine Learning, or related field
Experience with AI compilers (TVM, TensorRT)
Hands-on experience in LLM training and fine-tuning
Expertise in LLM deployment optimization:
o Parallelization strategies
o Scheduling optimization
o Batching strategies
Experience working with large-scale AI clusters and/or NVIDIA SuperPOD
CUDA or equivalent GPU programming expertise
Advanced knowledge of memory optimization for large-scale models.

Requirements:
MSc/PhD in Computer Engineering / Computer Science or equivalent
5+ years of experience in software development in Linux environments
Experience designing complex distributed systems
Deep system understanding and ability toenhance and optimize existing code
Proficiency in analyzing academic papers and studying AI/cloud technological trends
Strong technical leadership, excellent interpersonal skills, and ability to work in a global team
Fast learner, highly organized, detail-oriented, and able to manage multiple deadlines in a fast-paced environment.
Skills:
Expertise in AI/ML infrastructure, memory-tiering, caching, or high-performance computing
Proficiency in C++ and Python
Experience with cloud platforms (AWS, Google Cloud, Azure)
Knowledge of AI/ML frameworks (PyTorch, TensorFlow, vLLM) and performance optimization
Nice to Have
Experience in storage/memory domains (as applied to AI workloads)
Advanced Python programming with ML/AI library implementations
Experience with LLM (Large Language Model) and multimodal AI training pipelines
Background in benchmarking, performance tuning, and optimizing Storage or AI applications.