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Principal AI Software Engineer (AHT)
Principal AI Software Engineer at Northrop Grumman builds and deploys large language models, NLP/NLU systems, and AI-driven decision tools for defense applications using PyTorch, TensorFlow, and cloud platforms.
Associate AI Software Engineer/ AI Software Engineer (AHT)
Develop and deploy AI/ML models (LLMs, NLP, computer vision) for defense systems, focusing on explainable AI and sensor/data fusion, using frameworks like PyTorch and TensorFlow.
Member of Technical Staff — Developer Technology
Optimize and accelerate LLM inference and training systems like SGLang and Miles by profiling GPU performance, writing custom kernels, and enabling new models on modern hardware.
Sr. Computer Vision Engineer (Deep Learning)
Design and deploy deep-learning perception models for ADAS in commercial EVs, optimizing neural networks for embedded automotive hardware.
LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Research scientist building and fine-tuning vision and language models, improving robustness, efficiency, and training pipelines using PyTorch/JAX.
Ingénieur(e) IA Générative - Hébergement De Modèles LLM
Design and build a cloud-native SaaS platform for data management and MLOps that supports 5G core networks, using Python, Go, Kubernetes, and hyperscale cloud services.
Lead AI Engineer
Lead AI Engineer builds and deploys agentic AI systems, RAG pipelines, and ColBERTv2 architectures while optimizing models and ensuring compliance.
Software Engineer, Cloud Infrastructure (Multiple Seniority Levels)
Build and run AWS-based cloud and ML infrastructure for an AI aviation platform, including LLM endpoints, RAG pipelines, and IoT deployments using CDK/Terraform and LangChain.
2026 Fall Intern, Memory and Personalization
Lab Summary: Advanced Intelligence Lab at Samsung Research America is working towards a vision of a world-class voice assistant that provides a unified AI experience across multiple devices (Galaxy Smartphones, Galaxy…
Staff Engineer, Embedded AI Software Engineer
Build and optimize AI deployment tools for embedded systems, enabling efficient neural network execution on constrained hardware like DSPs and NPUs for healthcare-focused SoCs.
Staff Machine Learning Engineer
Build and deploy edge AI models for in-vehicle health monitoring, processing logs and sensor data to predict failures in real time on resource-constrained devices.
AI Model Architect
Design and partition cutting-edge AI models (e.g., Transformers) for custom silicon, mapping them to heterogeneous ASICs before hardware tape-out and ensuring cycle-accurate performance.
AI SoC Hardware Architect
Designs AI-focused system-on-chip architectures by translating AI workloads into silicon requirements, owning performance modeling and hardware-software co-design for next-gen AI accelerators.
Customer Engineering / Solutions Architect (AI, Edge & Cloud) - UAE
Architects end-to-end AI solutions spanning edge devices, cloud, and IoT for smart cities and industrial systems, optimizing for latency, power, and scale.
Lead Generative AI Engineer
Lead the engineering and deployment of production-grade generative AI systems, including LLMs and multimodal models, with a focus on scalability, reliability, and MLOps in an enterprise energy-tech environment.
Machine Learning Engineer
Build and deploy ML models using TensorFlow and NLP, quantize models for mobile, and analyze large datasets to enhance products.
[AI반도체] NPU Core Architect
Designs and optimizes the microarchitecture of an AI accelerator (NPU) core, mapping deep-learning workloads to hardware and guiding PPA trade-offs for edge ASIC chips.
[AI반도체] Deep Learning Research Engineer
Research and develop deep-learning models optimized for AI semiconductors (NPUs), including quantization, pruning, and tooling for training and deployment.
[AI반도체] Deep Learning Optimization Engineer
Develops and optimizes compilers and quantization/pruning techniques to accelerate AI semiconductor inference, converting models across frameworks and improving performance for NPU deployment.
ML엔지니어(NLP·LLM)
Build and maintain an NLP/LLM pipeline that extracts entities from financial news and disclosures, links them to a financial ontology, and powers RAG/Graph RAG features for evidence-backed answers in a securities trading platform.