AI Algorithms Engineer - Qualcomm, Hod HaSharon, Israel

About this role

## Company: Qualcomm Israel Ltd. ## Job Area: Engineering Group, Engineering Group > Modem Technologies General Summary: # # Role Overview We are looking for a Senior/Staff AI Algorithms Engineer to join our research and engineering team, focusing on the development, training, and optimization of large-scale language models (LLMs) on distributed networks. The ideal candidate combines deep theoretical understanding with hands-on engineering excellence

# # Must-Have Requirements ## ## Education & Experience * M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field * 5+ years of industry or research experience in machine learning / deep learning * Demonstrated track record of delivering production-quality ML systems or publishing in top-tier venues (NeurIPS, ICML, ICLR, TMLR, etc.) ## ## Core AI/ML Expertise * Deep understanding of transformer architectures (encoder-only, decoder-only, encoder-decoder), attention mechanisms, positional encodings (RoPE, ALiBi, etc.), and normalization strategies * Hands-on experience training large-scale models (1B–70B+ parameters) from scratch * Familiarity with pre-training, instruction tuning, RLHF, DPO, and related alignment techniques * Knowledge of model evaluation: perplexity, downstream benchmarks (MMLU, HellaSwag, etc.), and ablation methodology ## Distributed Training & Systems * Strong practical experience with distributed training paradigms: * Data Parallelism (DDP, FSDP) * Tensor Parallelism (Megatron-style) * Pipeline Parallelism * ZeRO (Stage 1/2/3 with optimizer/gradient/parameter sharding) * Proficiency with modern training frameworks: PyTorch, DeepSpeed, Megatron-LM, Hugging Face Accelerate / Transformers * Experience managing large-scale GPU clusters (A100/H100/B200 or equivalent), including job scheduling, multi-node communication (NCCL), and GPU utilization monitoring ## ## Engineering Skills

Apply for this role on Qualcomm’s official careers site.