GPU Optimization Jobs

Why this is a real AI job: The role is explicitly focused on building and optimizing LLM inference systems, spanning the entire stack from hardware to software. The responsibilities and requirements heavily emphasize AI/ML/LLM expertise.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…

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Why this is a real AI job: The role is explicitly focused on building and optimizing machine learning infrastructure, tooling, and systems for training, evaluating, deploying, and operating models at scale. The responsibilities and qualifications heavily emphasize ML engineering and sy…

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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Why this is a real AI job: The role is explicitly focused on optimizing machine learning workloads for production, requiring deep expertise in ML performance areas and systems engineering. The job description heavily emphasizes ML-specific tasks and skills.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

Details Open source / apply

Why this is a real AI job: The role is explicitly focused on building and optimizing LLM inference systems, spanning the entire stack from hardware to software. The responsibilities and requirements heavily emphasize AI/ML/LLM expertise.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…

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Why this is a real AI job: The role is fundamentally focused on bringing ML models to efficient execution on specialized AI hardware, involving deep technical work in model compilation, optimization, and validation. The entire job description revolves around AI/ML concepts.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transfor…

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Why this is a real AI job: The role is explicitly focused on building and maintaining infrastructure for ML research and serving, with a strong emphasis on large language models and GPU utilization. The requirements and responsibilities directly relate to core AI/ML engineering tasks.

ABOUT THE ROLE We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Responsibilities: - Provide infrastructure support to our ML research and product - Build tooling to diagnose cluster issues…

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Why this is a real AI job: The role is entirely focused on building and optimizing the model serving layer for voice applications, including LLMs, STT, and TTS. It requires deep expertise in ML engineering, inference optimization, and GPU utilization. The responsibilities and requireme…

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a…

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Why this is a real AI job: The role is explicitly focused on building and optimizing the model serving layer for voice applications, working with state-of-the-art voice models and inference engines. The responsibilities are heavily centered around ML engineering tasks.

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a…

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Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…

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Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing advanced generative AI systems and ML models. The fellow will be directly involved in ML projects, research publications, and advising on AI-related technologies. The description heavily emp…

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…

Details Open source / apply