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Senior engineer building low-level diagnostic software in C/C++/Python to validate and stress-test next-gen data center GPUs and AI systems, including hardware interfaces and AI workloads.
Lead a team to design, build, and deploy advanced computer vision and sensor-fusion algorithms for geospatial-intelligence missions, using deep learning, CUDA, and real-time tracking in Python/C++.
Develop and optimize NVIDIA's CUDA driver for Windows, focusing on system-level software that accelerates GPU computing across AI, gaming, and scientific workloads.
We’re hiring a Platform Software Engineer to help build the execution layer behind OCI’s AI and GPU growth motion. You’ll work across Oracle data platforms, GPU scheduling, orchestration pipelines, and MLOps agentic…
- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience -…
- 5+ years of non-internship professional software development experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of…
Build and scale Snowflake’s Cortex Training platform, a distributed LLM post-training service that orchestrates GPU compute, scheduling, and fault tolerance for enterprise ML workloads.
Senior/Staff Machine Learning Engineer, Perception Team: Autonomy Software Location: South San Francisco, CA Commitment: Full Time Workplace Type: hybrid Salary: The US base salary range for this full-time position is…
Integrated Survivability Solutions (ISS) Software Architect Location: Merrimack, New Hampshire, United States Category: Engineering & Technology Employment Type: Full-Time Job Description Join BAE Systems’…
Optimizes deep-learning pipelines and GPU frameworks to speed up AI-driven trading strategies, working with PyTorch, JAX, CUDA and low-level GPU programming.
Builds and optimizes a high-performance research platform for financial market simulations and model training, using Python, Rust, and distributed systems in a global market-making firm.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Design and optimize GPU-based software for training large language models using CUDA, WebGPU, or GLSL, with a focus on performance and architecture.
Senior/Staff Software Engineer at a defense startup building autonomous gun turrets with computer vision and control systems using C++ and Python.
Lead the development and optimization of AI/ML models (CNNs, Vision Transformers, LLMs) for AMD’s next-gen compute platforms, focusing on compiler toolchains, performance tuning, and system-level engineering.
Develops and verifies GPU workloads and tools for Apple silicon graphics processors, focusing on real-time graphics, VR/AR, and parallel computing using C/C++ and GPU APIs.
Senior Software Engineer at Graphcore in Gdańsk optimizes and benchmarks the full AI stack—from ML frameworks and compilers to hardware—ensuring end-to-end performance for proprietary AI hardware and software solutions.
Senior Machine Learning Engineer at Graphcore optimizes AI models for specialized hardware, scales them across thousands of accelerators, and collaborates with research and software teams to advance AI compute technology.
Senior Machine Learning Engineer at Graphcore in Bristol, UK, optimizing AI models for specialized hardware and large-scale systems, collaborating with cross-functional teams to advance AI technology.
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