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At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom training…
Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management,…
Build and maintain ML pipelines, backend systems, and cloud-native infrastructure to deploy and monitor AI-driven tools that optimize infrastructure design and reduce CO₂ in the built environment.
Build and run a production-grade ML platform: design AI system architectures, deploy and optimize LLM inference servers, and maintain MLOps pipelines with GPU scheduling and monitoring.
Lead embedded software development for real-time radar and electronic warfare systems, designing C++ signal-processing architectures and guiding multi-disciplinary teams to deploy operationally relevant solutions.
Lead embedded software engineering for real-time radar and electronic warfare systems, designing and implementing digital signal processing solutions in C++ for deployable defense tech.
Lead architecture and deployment of production AI systems, optimizing inference pipelines and mentoring engineers in a fast-growing company.
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Develop 3D computer-vision and machine-learning algorithms for autonomous-vehicle perception, including object tracking, pose estimation, and sensor fusion using LiDAR, cameras, and IMU.
Build and deploy end-to-end ML systems for industrial sorting machines, focusing on computer vision and MLOps across cloud and edge.
Build and ship computer-vision models: train, evaluate, wrap in services, and demo via simple web UIs. Core stack: Python, PyTorch, OpenCV, FastAPI/Flask, Docker.
Grundium Oy develops and manufactures the Ocus® series of compact, high-performance microscope slide scanners. Our products help healthcare and research professionals create accurate digital images of microscope slides…
Optimize distributed AI training for 100B+ parameter models across 100k+ GPUs, writing CUDA/Triton kernels and co-designing hardware-efficient training recipes.
Build and maintain computer-vision models that detect building defects from drone and telephoto imagery, using PyTorch, CUDA, and AWS GPU infrastructure.
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Own the design, training, and deployment of a novel foundation model, including custom CUDA kernels, distributed training pipelines, and cloud-based scaling.
Engineer large-scale LLM pre-training pipelines and distributed GPU clusters using PyTorch, DeepSpeed, or Megatron-LM, optimizing networking, memory, and fault tolerance for month-long runs.
About Company Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain…
Department: Location: Belknap Campus Time Type: Full time Worker Type: Regular Job Req ID: R109119 Minimum Requirements: Bachelor's degree in Computer Science or a related field and eight (8) years of relevant…
Senior C++ engineer building real-time signal-processing algorithms for radar systems on Linux, FPGAs, and GPUs, with a focus on numerical accuracy and low latency.
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