Find your next AI-scored role.

Compute Server Platform Architect at Cerebras Systems designing x86 server platforms for AI cluster infrastructure. Owns server architecture, performance modeling, and vendor partnerships for Cerebras' wafer-scale AI accelerator systems.

New graduate engineer at Cerebras Systems working on wafer-scale AI chip architecture, kernel design, and performance modeling. Role spans hardware-software codesign, system bringup, and validation across simulators and actual hardware.

Applied Machine Learning Research Scientist at Cerebras Systems building LLM training, fine-tuning, and post-training pipelines on wafer-scale AI hardware. Focus on implementing ML techniques at scale, debugging ML systems, and optimizing training workflows.

AI Silicon Physical Design Engineer at Cerebras Systems building wafer-scale AI chips. Role focuses on synthesizing, placing, routing high-speed designs, and full-chip physical verification for the world's largest AI processor.

Product Manager for AI Models at Cerebras Systems, leading the strategic model portfolio for the world's fastest AI inference platform. Owns model roadmap decisions, quality standards, customer partnerships, and go-to-market launches for frontier and open-source models.

Entry-level AI Infrastructure Operations Engineer at Cerebras Systems supporting deployment, monitoring, and troubleshooting of wafer-scale AI chip infrastructure in data center environments. Focuses on hardware bring-up, telemetry monitoring, and first-line incident response.

AI Infrastructure Operations Engineer at Cerebras Systems managing wafer-scale AI compute clusters. Responsibilities include cluster health monitoring, container deployment, resource optimization, and 24/7 infrastructure support for large-scale ML workloads.

AI/ML Research Scientist at Cerebras Systems designing and developing AI models and training methodologies on wafer-scale hardware. Work spans optimization theory, model architecture, and computational science to explore new algorithmic possibilities enabled by novel hardware architecture.

R&D Engineer at Cerebras Systems designing and optimizing AI/ML and scientific computing workloads on wafer-scale hardware. Work spans algorithm design, compiler co-optimization, and hardware architecture to advance state-of-the-art performance benchmarks.

Compiler engineer at Cerebras Systems building the Tungsten dataflow compiler for wafer-scale AI processors. Design and implement compiler passes, optimize code generation for novel hardware, and co-design language constructs for efficient execution across hundreds of thousands of cores.

Staff Storage Engineer at Crusoe building petabyte-scale storage infrastructure for AI workloads. Lead architect of data layer for vertically integrated AI cloud, managing performance optimization, vendor strategy, and enterprise storage systems.

Staff Engineer at MongoDB building AI-powered code transformation tools that modernize legacy applications into microservices architectures. Lead the Code Gen team in designing and optimizing code transformation workflows leveraging LLMs and GenAI capabilities.

Staff Software Engineer at Crusoe building Virtual Pool Service and Capacity Management Intelligence systems for GPU fleet allocation and management. Focus on distributed systems, infrastructure automation, and cloud platform reliability at scale.

Founding Forward Deployed Engineer at Sphere, a trade compliance AI platform. Embed with strategic customers to understand workflows, identify compliance challenges, and design custom solutions integrating Sphere's AI system into their operations.

Machine Learning Engineer at Figma building AI-powered search, ranking, and generative features. Focus on end-to-end ML model development, scalable data pipelines, and cross-functional collaboration with researchers and product teams.

Software engineer building data infrastructure at Figma. Focus on large-scale distributed systems, batch/streaming pipelines, and data platforms powering analytics and AI/ML across the company.

Product Manager for Figma Make's developer platform, responsible for code generation, execution, and deployment systems. Leads AI agent infrastructure and platform strategy to enable developers and non-technical builders to ship production-quality code.

Product Designer, AI Models at Figma working to improve AI model design capabilities and evaluation quality. Bridge between AI research and design teams, developing design principles and heuristics for AI systems.

Manager, Software Engineering at Figma leading the Search & Recommendations team. Oversees engineers building search infrastructure and AI agent context retrieval systems across the design platform. Requires 4+ years of engineering management experience and 8+ years total engineering background.

Manager, Software Engineering at Figma leading a team of five engineers on observability and cost engineering platforms. Responsible for Figma's observability stack, instrumentation standards, cost attribution, and AI-driven operational automation.

Manager, Software Engineering at Figma leading a team building AI capabilities across core design products. Will partner with product, research, and data science to define strategy and drive AI-powered user experiences.

Data Platform Engineer at Figma building ML and data infrastructure for AI-driven products. Focus on model serving, feature pipelines, workflow orchestration, and self-serve analytics platforms.

Applied Scientist at Figma building generative AI models and systems to enhance design products. Focus on fine-tuning, reinforcement learning, and evaluation infrastructure for AI-powered features.

Research Engineer at Anthropic building AI observability systems to monitor and analyze large-scale training and deployment data. Design and implement monitoring frameworks, develop agentic integrations, and partner with safety teams to scale human oversight of AI systems.

Product Manager for Agent Studio at Sierra, a platform for building AI agents. Define the agent development experience, testing systems, and AI copilot integration across the full build-test-release lifecycle.