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Staff Business Systems Analyst at Cerebras bridging business strategy, process design, and enterprise systems (ERP, integrations, reporting) across Finance, Supply Chain, People, and Legal functions in a hybrid Bay Area role.
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…
Maintain and optimize Cerebras’ ultra-large AI compute clusters, deploying containerized services and building monitoring/automation tooling to maximize performance and uptime.
Design Verification Engineer at Cerebras building and validating the world's largest AI chip, ensuring first-silicon success through SystemVerilog/UVM testbenches and cross-functional collaboration.
Senior Infrastructure Engineer designs and maintains scalable cloud infrastructure for AI/data workloads, automates deployments, and enforces security and compliance while optimizing costs and reliability.
Sell AI-powered data security solutions to enterprise clients in Saudi Arabia, building pipelines and managing key customer relationships.
Build and optimize high-performance inference APIs and tools for generative AI models using Python, PyTorch, and C++ on Cerebras’ custom hardware.
Drive AI-powered data security sales by presenting Cohesity’s tech to customers and integrating it into their environments while gathering feedback for product teams.
Build and maintain a scalable cloud data platform using AWS, Terraform and Airflow to power analytics and AI-driven products.
Senior Software Engineer builds high-performance data pipelines and products in Java/Kafka to power AI-driven job search and ML models across Stepstone’s global hiring platforms.
Build and maintain scalable data infrastructure (AWS, Kafka, Spark, Airflow) to power analytics and AI-driven hiring products at a global job-tech platform.
Build and maintain automated testing and CI/CD infrastructure for a complex AI/ML software stack, ensuring reliability and performance across simulators, emulators, and hardware.
Design Verification Engineer at Cerebras, building and testing the world's largest AI chip to ensure first-silicon success and ultra-fast AI inference.
Lead the design of Cerebras' next-generation AI chips, focusing on high-performance RTL development and integration while collaborating with cross-functional teams and external ASIC vendors.
Design and optimize FPGA-based host and network IO subsystems for Cerebras' AI supercomputers, including RoCE v2, switching fabric, and proprietary WSE interfaces.
Build and deploy full-stack web/mobile apps for logistics customers, own features end-to-end, and mentor peers in a hybrid San Diego-area role.
Builds and maintains accounting software in an office setting using Python, NextJS, React, and Tailwind, collaborating with a small engineering team.
Build and optimize Cerebras' GPU-based AI inference stack, integrating vLLM, ROCm, and AMD GPUs to deliver ultra-low-latency, high-throughput LLM serving for production workloads.
Designs and optimizes large-scale data pipelines to analyze multi-terabyte hardware telemetry for AI chips, using Python, Spark, and ML to improve performance, reliability, and energy efficiency.
Designs and automates tests for AI inference services, validating cloud-based systems with Python, Java, Selenium, and REST APIs within CI/CD pipelines.
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