As a Software Engineer - Perception at Lodestar, you’ll research and build computer vision and ML algorithms to detect, classify, and track space targets in real time, developing models and infrastructure for autonomous decision-making in space environments using C++, Python, and GPU-accelerated tools.
Designs and optimizes high-performance CUDA kernels and GPU libraries for AI training, inference, and HPC workloads. Works with ML engineers to profile production GPU systems using Nsight and NCCL, shipping performance improvements in C++/CUDA, PyTorch, JAX, or Triton.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
Member of Technical Staff for Model Training infrastructure and platform at Xperteez Technology. The role involves architecting and scaling distributed systems for supervised fine-tuning, reinforcement learning, and distillation across GPU clusters, owning inference optimization, experiment tracking, and platform architecture for AI research teams, using Python and systems languages such as C++, R
Job Title: Member of Technical Staff, Model Training (infra & platform) Job Type: Full-time Location: Remote The Role In this role, you will take technical ownership of the distributed systems and platforms that…
ML Platform Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today’s most…
NVIDIA is at the forefront of the generative AI revolution! The Algorithmic Model Optimization Team specifically focuses on optimizing generative AI models such as large language models (LLM) and diffusion models for…
NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, we are tapping into the unlimited potential of AI to define the next era of computing. Doing what has never been done…
NVIDIA is seeking talented engineers to join the TensorRT team and advance high-performance AI inference on NVIDIA GPUs. Our team develops software that accelerates state-of-the-art generative AI models for local and…
An applied research team within NVIDIA’s Networking Systems & Software Architecture group is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between…
Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize…
The engineer designs and optimizes real-time computer vision algorithms—target detection, tracking, calibration, and pose estimation—for a software-defined weapon optic running on embedded platforms, using C++ and Python.
Senior ML/CV Engineer owning the full machine learning stack for Anduril's Counter Intrusion team, designing and deploying multi-sensor object detection models on edge devices using C++, Python, PyTorch/JAX/TensorFlow, TensorRT, and ONNX for defense technology.
Lead the design, development, and deployment of ML models and data pipelines for autonomous maritime and air systems, managing the full ML lifecycle from data curation to production in a classified environment. Work spans computer vision, sensor processing, MLOps, and cross-functional integration with engineering teams.
A Senior ML Engineer at Anduril Industries bridges ML research and production by hardening and deploying ML systems on factory floors and in the cloud. The role owns MLOps infrastructure, inference pipelines, on-call rotations, and cross-functional coordination using Python, PyTorch/TensorFlow, Docker, Kubernetes, and edge/OT environments.
Senior Software Engineer on Anduril's Tactical Recon & Strike team, building computer vision and machine learning perception systems for small aerial drones. The role involves C++/Python development on Linux, integrating classical CV with ML, and deploying models with TensorRT and ONNX at the company's Costa Mesa headquarters.
Develops computer vision and machine learning software for aerial drones at Anduril's Costa Mesa headquarters, prototyping perception systems and integrating classical CV with ML methods using C++, Python, PyTorch, TensorFlow, TensorRT, and ONNX on Linux.
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