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Lead a team building neural rendering and generative models for autonomous-vehicle sensor simulation, translating research into production-grade camera, LiDAR, and radar pipelines.
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Build and scale the distributed training infrastructure for a cutting-edge video-generation AI model, optimizing multi-GPU clusters and data pipelines for stability and performance.
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work. We strive to make a…
Senior ML engineer optimizes PyTorch models for real-time, on-vehicle deployment, using quantization and distillation to meet tight latency and memory constraints.
Build and fine-tune LLMs/SLMs on GPU clusters, from data prep to deployment, and explain the full training pipeline to stakeholders.
Design and deploy GPU-native AI supercomputers, creating low-level hardware and datacenter blueprints while collaborating with vendors and engineering teams to turn designs into production-grade systems.
Develops advanced algorithms for partial discharge monitoring and predictive maintenance in energy infrastructure using sensor data, signal processing, and machine learning to detect faults early and improve system reliability.
Owns and optimizes high-performance data pipelines and enterprise systems, focusing on C++, CUDA, and memory/concurrency optimizations to maximize throughput and efficiency.
Senior Software Engineer owning performance-critical paths in a large-scale data-processing platform, profiling and optimizing with Python, C/C++/Rust, PostgreSQL, and GPU/CUDA acceleration.
Build and secure the cloud and on-prem infrastructure that deploys and updates Sunrise Robotics’ AI-powered manufacturing robots, automating workflows and hardening Linux/Windows endpoints.
Staff Software Engineer on Google's MARC team co-designing ML systems between frontier ML workloads and TPU silicon roadmaps, using JAX, PyTorch, Pallas, and XLA.
Develops C/C++ applications for military mission systems and image processing on Linux/Windows, with optional GUI, GPU (CUDA), and containerization (Docker/Kubernetes) work.
Develops Linux/Windows applications for military mission systems and image processing, primarily using C/C++/VC++. Focuses on OOP, GUI design, and software lifecycle processes.
About Us We’re a digital entertainment company creating engaging online platforms people love. Since 2021, we’ve been building something different. Our brands include MetaWin, WOW Vegas, BetZoo Media, and Rolla, with…
Develops Linux/Windows applications for military mission systems and image processing, primarily using C/C++/VC++ and object-oriented design.
Develops Linux/Windows applications for military mission systems and image processing, primarily using C/C++/VC++. Builds GUI and interfaces with hardware, with optional GPU and containerization experience.
Develops Linux/Windows applications for military mission systems and image processing, primarily using C/C++/VC++ and OOP principles.
Build and scale multi-cluster GPU infrastructure for training tabular foundation models, optimizing cost and throughput while owning Slurm clusters, scheduling, and distributed training performance.
Design AI/ML accelerator ASICs and storage solutions, defining I/O subsystems (PCIe/UCIe/CXL) and memory hierarchies for high-performance AI workloads.
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