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Develops and deploys production AI systems for retail shelf intelligence, focusing on computer vision tasks like object detection, OCR, and product recognition to improve inventory accuracy and retail operations.
Optimize ML inference for edge accelerators and GPUs, focusing on transformer-based models for low-power in-vehicle compute by improving compilers, runtimes, and kernels.
Our Culture and People: At Goddard, our most important asset is our people. We don't just work together; we thrive together. We foster a culture of collaboration, continuous learning, and mutual support. We believe…
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Senior AI Software Application Engineer Location: Yokohama Time Type: Full time Job Description About GF GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud…
Lead the design and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and generative AI for computer vision tasks like object detection and retail shelf analysis.
Build and deploy AI features for wearables, including on-device models, RAG pipelines, and AI agents, while collaborating with cross-functional teams.
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Build and integrate AI agents, RAG, and SLMs into production systems using LangChain, LangGraph, and containerized workflows.
Builds and promotes Intel’s AI PC SDK and tools, creates tutorials, and advocates for developers by engaging with communities and presenting at events.
Develops and deploys computer vision models and pipelines to analyze sports video data, using Python, PyTorch/TensorFlow, and cloud services to power analytics for elite athletes and teams.
NexTex AI is a Berlin deep-tech startup building an AI intelligence layer for textile manufacturing. Join the founding team to build scalable backend, cloud and edge-to-AI infrastructure. Tasks • Design and develop…
Lead the RTL design and microarchitecture of an ultra-low-power SoC for edge AI/IoT, defining dataflow fabrics, memory subsystems, and interconnects using SystemVerilog and collaborating across hardware, firmware, and verification teams.
Build and deploy ML models for object detection and image enhancement on embedded platforms for AR helmets, drones, and robots used in defense and first-responder scenarios.
Senior full-stack engineer building AI-powered systems for cloud and edge devices, integrating computer vision, NLP, and multimodal models into production-ready solutions for mission-critical applications.
Build and operate MLOps pipelines for enterprise AI that runs on-prem and air-gapped factory floors, handling model training, versioning, serving, monitoring, and safe rollouts across GPU and edge devices.
Build and optimize AI frameworks, compilers, and runtimes to run large language models efficiently at cloud scale, profiling and benchmarking across GPUs and Microsoft silicon.
Build and deploy computer-vision models for factory inspection lines, tuning cameras and lighting, training detectors, and running real-time inference on edge devices.
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