Qualifications** **Required Qualifications:** + Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience **Preferred Qualifications:** + Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience + Experience in multi-modal data processing: + Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations + Experience with state-of-art model inference and serving frameworks + Experience with image/video/audio data processing + Experience with common data formats for efficient I/O + Experience in multi-modal pretraining and post-training: + Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed + Knowledge of auto-regressive and diffusion transformer models + Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism + Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO) + Experience in multi-modal inference and serving: + Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc. + Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines + Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton + Experience in leading technical projects and supporting architectural decisions with data Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 - $274,800.00 per year.