"algorithmic workloads" Jobs
49 open tech roles matching “algorithmic workloads”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, C++. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 49 results
Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Join Anthropic's Inference team to design and maintain distributed systems serving AI models to millions globally.
Join Anthropic as a Staff Software Engineer to enhance deployment infrastructure for AI systems in a collaborative environment.
Join Anthropic's Inference team to build and maintain systems that serve AI models to millions of users worldwide.
Join Anthropic's Inference team to design and maintain distributed systems that serve AI models to millions of users worldwide.
Join Databricks as a Staff Software Engineer to drive the architecture of a managed GPU training platform for large-scale AI models.
Join Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.
Lead the development of next-generation multimodal models at Twelve Labs, impacting thousands of customers worldwide.
Lead a team of engineers to optimize Anthropic's inference infrastructure for AI systems.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.
Join Twelve Labs as a Senior AI Engineer to build the integration layer for their multimodal video AI system.
Join Anthropic as a Software Engineer specializing in ML Networking, focusing on network infrastructure and optimization.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Join Amplitude as a Senior Software Engineer to enhance a complex OLAP system that powers AI-driven product analytics for enterprise customers.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.
Join Databricks as a Senior Applied ML Engineer to optimize infrastructure and enhance serverless compute products.