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Solutions Architect (AI, Edge & Cloud)
Design and deploy AI-powered edge-to-cloud systems for smart cities and IoT, optimizing models for latency, power, and scale across Qualcomm’s hardware and cloud platforms.
Software Engineer, AI Tools
Builds and optimizes AI model quantization tooling to deploy neural networks efficiently on Qualcomm’s Snapdragon platforms, using Python/C++ and frameworks like PyTorch.
Machine Learning Scientist
Research and develop efficient generative AI models (LLMs, multi-modal) for on-device deployment, focusing on reasoning, RAG, and Agentic AI.
AI Engineer, Business Operations
Build and deploy AI models into scalable services, turning research prototypes into production-ready systems with Python, Airflow, and cloud/on-prem infrastructure.
Senior Software Engineer - AI
Build and lead large-scale AI systems for federal programs, designing Python-based LLM solutions, RAG pipelines, and cloud-native architectures while ensuring compliance and security in regulated environments.
AI HPC Infrastructure Engineer
Maintains and optimizes a hybrid HPC/AI Linux cluster with GPUs, scheduling tools (SLURM/Kubernetes), and MLOps pipelines to support large-scale model training and inference for researchers.
Technical Product Manager, AI Inference & Software
Own the AI inference and software product roadmap, translating model innovations into technical requirements and serving-stack features while collaborating with engineering and GTM teams.
Machine Learning Senior Software Engineer (Remote)
Build and operate AI model validation, quantization, and safety systems for Akamai’s Inference Cloud, including vulnerability scanning, optimization pipelines, and compliance guardrails.
Systems Design Engineer, AI Software
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And…
Principal Software Engineer
Principal Software Engineer Location: CO - Work from home Remote Type: Remote Time Type: Full time Job Description We’re building a world of health around every individual — shaping a more connected, convenient and…
Software Engineer — RISC-V SIMD Kernels for LLMs
Write and optimize low-level compute kernels (matmul, attention, quantization) in C++23 for a custom RISC-V chip, using SIMD intrinsics and memory-hierarchy tuning to accelerate LLM inference/training.
Full-Stack AI Engineer, Robotics and Digital Twin
Build full-stack AI apps for Micron’s smart factories: ingest sensor data, train models, ship React/FastAPI front-ends, and deploy digital twins in Gazebo/Unity for robotics and predictive maintenance.
Senior Computer Vision Engineer
Senior Computer Vision Engineer builds and optimizes ML SDKs, ports models to edge/cloud hardware, and automates deployment pipelines using C++ and Python.
Deep Learning Software Engineer, TensorRT Performance (Remote)
Build and optimize NVIDIA’s deep-learning inference stack (TensorRT, TensorRT-LLM) by profiling models, writing GPU kernels, and integrating OSS frameworks to maximize GenAI performance across datacenter and edge GPUs.
Senior DevOps LLM (Инвестиционный бизнес)
Senior DevOps engineer deploying and optimizing open-source LLMs (DeepSeek, Qwen) on-premises, building high-throughput inference servers and observability for an investment platform.
Senior Machine Learning Engineer
Build and ship AI models for Berlitz’s online learning platform, focusing on speech, text, and computer vision to deliver real-time speaking practice, conversation, and feedback.
Senior AI Solution Architect
Design and deploy enterprise-grade AI systems—from LLMs to robotics—using Python, PyTorch, and MLOps, ensuring scalable, secure, and commercially viable solutions.
Machine Learning Engineer, AI Research (Physical AI)
Research and develop AI models for physical robots, training vision-language-action systems and reinforcement-learning policies to perceive, reason, and act in the real world.
Senior Machine Learning Engineer, AI Research (Physical AI)
Research and build large-scale machine learning models for physical AI systems, focusing on robotics, reinforcement learning, and multimodal models to enable intelligent agents to interact with the real world.
(Staff/ Sr. Staff) Machine Learning Engineer
Lead research and development of ML algorithms and toolchains for Edge AI, focusing on quantization, compression, and on-device learning to optimize models for constrained hardware.