"inference infrastructure" Jobs
366 open tech roles matching “inference infrastructure”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 366 results
Join Applied Intuition as a Senior Software Engineer to develop perception systems for L4 autonomous trucks.
Join Handshake as a Senior Software Engineer to build scalable ML infrastructure for a fast-growing AI data business.
Join Fireworks AI as a senior AI Field Engineer to build production systems and engage with enterprise customers on generative AI solutions.
Lead and grow a team of machine learning researchers to develop methods for extracting insights from in-vitro microscopy datasets.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Join AssemblyAI as a Senior Software Engineer to turn cutting-edge AI research into reliable customer-facing products.
Join Fireworks AI as a senior AI Field Engineer to build production systems for generative AI with leading organizations.
Join Protege as a Senior Software Engineer to lead the data processing layer for AI training data at scale.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.
Join Applied Intuition as a Software Engineer to optimize application-layer software for embedded systems in autonomous driving.
Join Fireworks AI as a senior AI Field Engineer to build production systems for innovative AI-native companies.
Join Baseten as an AI Engineer to build AI-driven product features and enhance internal workflows.
Join CoreWeave as a Senior Specialist Field Engineer to lead GPU cluster delivery and ensure high-performance AI workloads for customers.
Own the cost side of data center build-outs at Together AI, partnering with Infrastructure Strategy to evaluate new opportunities.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.