New college grad software engineer building and improving functional and pipeline-accurate simulators in C++ for Cerebras' wafer-scale AI engine. Requires strong C++ and computer architecture knowledge to support hardware/software co-development across kernel, compiler, and verification teams.
Build and debug software infrastructure for next-generation AI hardware systems at Cerebras. Requires strong Python/C++ skills, OS and computer architecture knowledge, and experience with complex hardware-software debugging and system integration.
Develop verification strategies, reusable testbenches, and coverage plans for large-scale AI chip designs. Requires 3+ years of Design Verification experience with SystemVerilog, UVM, and strong debugging skills.
Lead design verification for wafer-scale AI chips. Develop verification strategies, reusable testbenches, and coverage plans while collaborating with architecture and design teams. Requires 10+ years of experience and deep expertise in SystemVerilog and UVM.
Build and optimize low-level software for Cerebras’s AI-accelerated systems, working across hardware interfaces, networking, distributed infrastructure, and compilers. The role targets 2026 graduates with C/C++ proficiency and an interest in systems programming, performance, and hardware-software integration.
Designs, deploys, and maintains Linux servers and high-speed network infrastructure (LAN/WAN, 10G/100G switching) across manufacturing facilities. Requires 4+ years experience with RHEL/Rocky Linux, Ansible automation, Palo Alto firewalls, and plant-floor networking in industrial environments.
Develops embedded system software, Linux BSP, and administrative services for the world's largest AI processor (WSE). Requires 5+ years in C++/Golang, embedded fundamentals, and cross-team collaboration; bachelor's degree minimum.
Develops and optimizes low-level machine-learning and HPC kernels for Cerebras’s custom massively parallel processor architecture. The role requires C++ and Python proficiency, strong debugging skills, and an understanding of hardware architectures; experience with parallel algorithms, accelerators, and ML frameworks is preferred.
Develop and optimize high-performance ML and HPC kernels in low-level assembly and CSL for Cerebras' custom AI hardware architecture. Requires strong C++/Python skills and hardware architecture knowledge.
New college grad software engineer building and improving functional and pipeline-accurate simulators in C++ for Cerebras' wafer-scale AI engine. Requires strong C++ and computer architecture knowledge to support hardware/software co-development across kernel, compiler, and verification teams.
Build and debug software infrastructure for next-generation AI hardware systems at Cerebras. Requires strong Python/C++ skills, OS and computer architecture knowledge, and experience with complex hardware-software debugging and system integration.
Develop verification strategies, reusable testbenches, and coverage plans for large-scale AI chip designs. Requires 3+ years of Design Verification experience with SystemVerilog, UVM, and strong debugging skills.
Lead design verification for wafer-scale AI chips. Develop verification strategies, reusable testbenches, and coverage plans while collaborating with architecture and design teams. Requires 10+ years of experience and deep expertise in SystemVerilog and UVM.
Build and optimize low-level software for Cerebras’s AI-accelerated systems, working across hardware interfaces, networking, distributed infrastructure, and compilers. The role targets 2026 graduates with C/C++ proficiency and an interest in systems programming, performance, and hardware-software integration.
Designs, deploys, and maintains Linux servers and high-speed network infrastructure (LAN/WAN, 10G/100G switching) across manufacturing facilities. Requires 4+ years experience with RHEL/Rocky Linux, Ansible automation, Palo Alto firewalls, and plant-floor networking in industrial environments.
Develops embedded system software, Linux BSP, and administrative services for the world's largest AI processor (WSE). Requires 5+ years in C++/Golang, embedded fundamentals, and cross-team collaboration; bachelor's degree minimum.
Develops and optimizes low-level machine-learning and HPC kernels for Cerebras’s custom massively parallel processor architecture. The role requires C++ and Python proficiency, strong debugging skills, and an understanding of hardware architectures; experience with parallel algorithms, accelerators, and ML frameworks is preferred.
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Develop and optimize high-performance ML and HPC kernels in low-level assembly and CSL for Cerebras' custom AI hardware architecture. Requires strong C++/Python skills and hardware architecture knowledge.