Cerebras Systems

Principal ML Investigator at Cerebras Systems building ML research and advanced development on the company's wafer-scale AI chip platform. Focus on post-training, dataset optimization, LLM pretraining, sparsity, and domain-specific agents.

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.

Applied AI/ML Scientist at Cerebras Systems developing and customizing large language models on the company's wafer-scale AI chip. Responsibilities include training custom models, fine-tuning LLMs, designing agentic systems, and serving as technical expert for customer AI initiatives.

AI Engineer at Cerebras Systems building model quality and performance systems for wafer-scale AI inference. Design eval suites with AI agents, automate release qualification, and build benchmarking workflows for customer use cases.

LLM Inference Performance & Evals Engineer at Cerebras Systems building performance-eval pipelines and benchmarking cutting-edge model optimizations on wafer-scale hardware. Prototype architectural tweaks, develop agent-driven automation for experiments, and collaborate across compiler, runtime, and silicon teams.

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.

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.

Engineering Manager leading Cerebras' ML inference runtime team. Responsible for designing and scaling high-performance inference systems for generative AI models on Cerebras' wafer-scale hardware, managing engineers, and driving cross-functional execution.

ML Research Engineer at Cerebras Systems optimizing transformer models for inference on the company's wafer-scale AI chip. Focus on speculative decoding, pruning, compression, and sparse attention techniques to deliver low-latency inference at scale.

ASIC Architect at Cerebras Systems designing wafer-scale AI chip architecture. Translate high-level specs to micro-architecture, perform PPA trade-offs, profile workloads, and optimize for ML inference performance.

Staff Kernel Optimization Engineer at Cerebras Systems developing high-performance ML and HPC kernels for the company's wafer-scale AI processor. Focus on implementing and optimizing deep learning operations in low-level assembly and custom domain-specific languages.

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.

Kernel Engineer at Cerebras Systems developing high-performance ML and HPC kernels for the company's wafer-scale AI processor. Focus on optimizing deep learning operations through low-level assembly and custom domain-specific language programming.

ML Systems Performance Engineer at Cerebras Systems optimizing inference speed and throughput on wafer-scale AI chips. Role spans kernel optimization, performance modeling, and debugging across hardware and software layers.

Senior/Staff engineer at Cerebras Systems bringing up and optimizing the Wafer Scale Engine (WSE) AI chip. Work spans hardware-software codesign, silicon validation, performance optimization, and cross-functional collaboration with chip design and software teams.

Senior/Staff engineer at Cerebras Systems bringing up and optimizing the Wafer Scale Engine (WSE) AI chip. Work spans hardware-software codesign, silicon validation, performance optimization, and cross-functional collaboration with chip design and software teams.

Full Stack LLM Engineer at Cerebras Systems bringing up state-of-the-art models on wafer-scale AI chips. Work spans model architecture, compiler optimization, runtime integration, and performance tuning across the entire software stack.

Kernel Engineer at Cerebras Systems developing high-performance ML and HPC kernels for the company's wafer-scale AI processor. Focus on optimizing deep learning operations through low-level assembly and domain-specific language programming.

Senior ML Systems Engineer at Cerebras building state-of-the-art training platforms on wafer-scale AI chips. Responsible for bringing up large-scale models (LLaMA, Qwen) on Cerebras CSX systems, spanning model architecture, compiler optimization, runtime integration, and performance tuning.

Staff Inference ML Runtime Engineer at Cerebras Systems building high-throughput, low-latency inference serving infrastructure for generative AI models on custom wafer-scale hardware. Focus on ML features, multimodal support, performance optimization, and scalable distributed runtime APIs.

Staff Python/PyTorch developer at Cerebras Systems building the frontend inference compiler for the world's largest AI chip. Focus on model representation, optimization, and compilation stack for generative AI inference.

Senior Performance Engineer at Cerebras Systems building benchmarking and competitive intelligence for AI inference performance. Focuses on reproducible benchmarks, GPU optimization, and pricing analysis across inference providers.

QA Lead at Cerebras Systems ensuring quality of ML software across training and inference workloads. Responsibilities include testing ML models, automating test workflows, debugging large-scale deployments, and validating customer workloads on Cerebras' wafer-scale AI chip platform.

Senior Runtime Engineer at Cerebras Systems designing and optimizing distributed runtime software for large-scale AI training and inference on custom wafer-scale hardware. Focus on high-performance data pipelines, multi-node orchestration, and performance optimization across heterogeneous clusters.

Lead RTL Design Engineer at Cerebras Systems designing the next-generation Wafer Scale Engine AI chip. Responsibilities include RTL development, synthesis, vendor management, and collaboration with design verification and physical design teams to deliver high-performance semiconductor architectures.

Senior front-end design engineer at Cerebras Systems building the world's largest AI chip. Focus on RTL design, microarchitecture, and chip integration for wafer-scale AI compute systems.

Software Development Engineer in Test at Cerebras Systems building test infrastructure and release quality systems for the Cerebras Inference Cloud platform. Owns weekly cloud releases end-to-end and scales test automation across distributed systems.

ML Performance Benchmarking Engineer at Cerebras Systems building observability and benchmarking infrastructure for AI inference on wafer-scale hardware. Focus on telemetry systems, performance analysis, and optimization across the full software stack.

Physical Design Engineer at Cerebras Systems building wafer-scale AI chip architecture. Responsible for synthesis, place-and-route, timing closure, and full-chip integration of the world's largest AI processor.

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.

ML Software Tool Development Engineer at Cerebras Systems building debugging, validation, and observability platforms for the world's largest AI chip. Focus on system-level profiling, compiler instrumentation, and high-performance hardware-software co-design.

Principal Engineer at Cerebras Systems building the cloud platform for wafer-scale AI inference. Owns multi-region architecture, reliability, latency optimization, and production operations for high-QPS inference services.

Principal Engineer at Cerebras Systems building reliability infrastructure for the world's fastest AI inference service. Owns SLO definition, incident response, and fault-tolerance mechanisms across distributed wafer-scale systems and multi-region cloud deployments.

3D physical design engineer at Cerebras Systems building wafer-scale AI chip architecture. Focus on 3D integration, physical verification, power/performance optimization, and packaging design 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.

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.

Sr. Technical Staff at Cerebras Systems performing post-silicon validation, hardware bring-up, and debug of wafer-scale AI chips. Develops test automation scripts in Python/bash and collaborates with hardware and software teams on silicon characterization and system integration.

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.

Infrastructure Hardware Technical Program Manager at Cerebras Systems driving end-to-end delivery of server and network platforms for AI clusters. Manages OEM/ODM partnerships, qualification, and production rollout across multi-team programs.

Senior ML Software Engineer at Cerebras Systems integrating and validating the software stack for the Cerebras AI platform. Focus on distributed systems debugging, automation, and reliability across ML infrastructure and hardware/software co-design.

Staff Software Engineer at Cerebras Systems building the cloud platform for AI inference. Focus on distributed systems, multi-region architecture, reliability, and latency optimization for high-QPS inference workloads.

Network Architect at Cerebras Systems designing and operating datacenter interconnect fabrics for AI/ML clusters. Role spans hardware-software integration, network reliability, and large-scale distributed systems debugging.

Engineering Lead for cluster security at Cerebras Systems, building security solutions for large-scale AI chip clusters. Responsible for end-to-end security architecture, multi-tenancy, and leading a security engineering team across hardware and software layers.

Engineering Manager, Kernel Reliability at Cerebras Systems. Lead a team improving reliability of advanced compute clusters and inference/training services. Focus on diagnostic tooling, failure analysis, and kernel-level debugging for wafer-scale AI chip systems.

Network Architect at Cerebras Systems designing front-end datacenter and interconnect architecture for AI/ML clusters. Responsible for developing proof-of-concept network designs, resolving performance bottlenecks, and leading cross-functional projects integrating hardware and software components.

Performance Engineer at Cerebras Systems optimizing CPU and memory subsystems for the CS-3 AI accelerator runtime. Focus on x86 architecture tuning, algorithm optimization, and profiling to enable faster ML training and inference workloads.

Performance & Reliability Engineer at Cerebras Systems optimizing ML workloads on the company's wafer-scale AI chip. Focus on characterizing hardware/software performance, power efficiency, and thermal management for next-generation AI systems.

Member of Technical Staff (Software Engineer) at Cerebras Systems building high-performance, low-latency inference infrastructure. Focus on Kubernetes orchestration, Python APIs, and deployment optimization for AI inference workloads.

Sr. Member of Technical Staff at Cerebras Systems building inference software and deployment infrastructure for AI chips. Focus on cloud-based workflows, containerization, monitoring, and system reliability using AWS, Kubernetes, and Python.

Prognostics & Health Monitoring Engineer at Cerebras Systems building frameworks to monitor, assess, and predict hardware health across AI chip infrastructure. Role spans reliability engineering, data science, and system software to enable early failure detection and proactive mitigation.

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.

Staff Site Reliability Engineer at Cerebras Systems building self-service platforms and automation for AI inference infrastructure. Focus on GitOps-driven CD, observability, and reliability practices for wafer-scale compute clusters serving frontier AI labs.

Sr. Staff/Staff Design Verification Engineer at Cerebras Systems building verification infrastructure for wafer-scale AI chips. Develops testbenches, test strategies, and coverage plans using SystemVerilog and UVM to ensure high-quality silicon designs.

Design Verification Engineer at Cerebras Systems building verification infrastructure for wafer-scale AI chips. Develops testbenches, test strategies, and coverage plans using SystemVerilog and UVM to ensure silicon quality across simulation, emulation, and bring-up phases.

System Software Engineer at Cerebras building embedded and platform software for the Wafer Scale Engine AI processor. Focus on microcontroller firmware, Linux BSP, system monitoring, and cluster orchestration integration.

Design Verification Engineer at Cerebras Systems building verification infrastructure for wafer-scale AI chips. Develops testbenches, test strategies, and coverage plans using SystemVerilog and UVM to ensure silicon quality across simulation, emulation, and bring-up phases.

Design Verification Engineer at Cerebras Systems building verification infrastructure for wafer-scale AI chips. Develops testbenches, test strategies, and coverage plans using SystemVerilog and UVM to ensure silicon quality across simulation, emulation, and bring-up phases.

Distributed Software Engineer at Cerebras Systems building cluster orchestration and monitoring software for wafer-scale AI supercomputers. Focus on bare-metal automation, Kubernetes-based scheduling, and large-scale distributed systems infrastructure.

Manufacturing Bring-up Engineer at Cerebras Systems supporting system-level validation and testing of AI chips in the manufacturing pipeline. Responsibilities include hardware bring-up, cross-functional collaboration, and process automation using Python/Perl scripting.

Manufacturing Bring-up Engineer at Cerebras Systems supporting system-level validation and testing of AI chips in the manufacturing pipeline. Responsibilities include hardware bring-up, cross-functional collaboration, automation, and process optimization.

Software engineer at Cerebras Systems building kernel reliability and debugging tools for AI compute clusters. Focus on failure analysis, root-cause investigation, and improving reliability of training and inference systems at scale.

Electrical engineer at Cerebras Systems designing printed circuit boards for AI inference chips. Lead PCB development from schematic through production, collaborate with cross-functional teams on power delivery and signal integrity.

Engineering Lead for Cluster UI Full Stack at Cerebras Systems, building a large-scale cluster management portal for AI infrastructure. Role involves UI development, backend integration, and technical leadership for a team managing thousands of wafer-scale accelerators and servers.

Senior Hardware Technical Program Manager at Cerebras Systems managing end-to-end schedules for AI chip design, manufacturing, and deployment. Owns program planning, risk mitigation, and cross-functional coordination across engineering, supply chain, and software teams.

Mechanical Engineer at Cerebras Systems designing mechanical systems for wafer-scale AI chips. Lead design from concept through production, collaborate across teams, and solve complex electro-mechanical challenges in a fast-paced environment.

Design Validation Test Lead at Cerebras Systems, a hardware AI chip company. Own end-to-end DVT for complex PCBs and systems, including power delivery, high-speed I/O, and thermal validation. Drive debug, root-cause analysis, and design closure.

Senior Mechanical Engineer at Cerebras Systems designing mechanical systems for wafer-scale AI chips. Lead design from concept through production, collaborate across teams on electro-mechanical infrastructure for next-generation hardware.

Senior VLSI test and yield enhancement engineer at Cerebras Systems, building wafer-scale AI chips. Analyze ATE data, perform failure analysis, and drive yield improvements using optical and physical inspection techniques.

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.

Site Reliability Engineer at Cerebras Systems supporting high-performance AI inference infrastructure powered by wafer-scale chips. Focus on Kubernetes operations, automation, observability, and continuous delivery pipelines for production systems serving frontier AI models.

Senior Technical Program Manager at Cerebras Systems overseeing site and data center operations for AI infrastructure deployments. Owns end-to-end programs for hardware systems, cloud infrastructure, and operational readiness across cross-functional teams.

Senior Product Marketing Manager at Cerebras Systems focused on marketing the company's AI inference chip. Role involves creating technical content, benchmarks, and community programs to position Cerebras' speed advantage in the rapidly evolving AI market.

IT SRE Team Lead at Cerebras Systems building reliability infrastructure for internal corporate systems. Leads a small team on automation, observability, and incident response for identity, endpoint, and SaaS platforms.

Software Architect at Cerebras Systems leading a team of full-stack engineers to design and deliver manufacturing test software systems for AI chip production. Owns technical vision and roadmap across cloud and on-premises infrastructure spanning multiple manufacturing facilities.

Full-stack engineer at Cerebras Systems building manufacturing test software for AI chip production. Responsibilities include test frameworks, user interfaces, distributed data storage, and cross-functional collaboration with hardware and operations teams.

Security & IT General Opportunities at Cerebras Systems, a company building wafer-scale AI chips. Roles span IT operations, security engineering, infrastructure, and automation across enterprise environments supporting advanced AI workloads.

Manufacturing Test Development Engineer at Cerebras Systems building test automation software for AI chip manufacturing. Develops test scripts, GUI solutions, and data reporting portals from PCBA to system level.

Frontend engineer at Cerebras Systems building customer-facing inference, training, and admin consoles for AI cloud platform. Focus on responsive web interfaces, high-traffic handling, and developer experience using React, Next.js, and modern web technologies.

Senior/Staff Technical Program Manager at Cerebras Systems managing end-to-end datacenter capacity delivery for AI infrastructure. Owns forecasting, site strategy, design, construction, and go-live for MW-scale facilities supporting GPU/AI system deployment.

Director of Critical Facility Operations at Cerebras Systems, leading mission-critical data center infrastructure across colocation environments. Owns uptime, vendor relationships, safety, and operational excellence for AI compute facilities.

Manager of Business Operations at Cerebras Systems, building operational analytics and execution systems for AI chip manufacturing and deployment. Role combines analytics infrastructure, KPI design, and process improvement across supply chain and data center operations.

Data Center Commissioning Lead at Cerebras Systems overseeing end-to-end commissioning and readiness of AI data center infrastructure across colocation environments. Responsible for testing, validation, and operational handover of mission-critical systems supporting Cerebras' wafer-scale AI chips.

Senior WAN Network Engineer at Cerebras Systems designing and managing global network connectivity for AI chip infrastructure. Responsibilities include WAN deployment, routing protocol optimization, cloud connectivity, and network automation using Python and Ansible.

Head of IT at Cerebras Systems, an AI chip company. Build and scale the internal technology backbone including identity, endpoint management, networking, and IT controls for a rapidly growing organization.

Head of Data Center Acquisition at Cerebras Systems, responsible for sourcing and closing data center capacity deals across North America and Europe to support AI inference infrastructure deployment. Leads commercial negotiations, diligence, and cross-functional alignment with legal, finance, technical, and customer teams.

Vice President of Creative & Integrated Marketing at Cerebras Systems, an AI chip company. Leads brand strategy, creative vision, and cross-channel campaigns to drive awareness and pipeline growth for enterprise AI infrastructure.

Business Operations Lead at Cerebras Systems managing datacenter organization operating cadence, planning cycles, and cross-functional coordination. Partner with senior leaders to build operating systems, drive business reviews, and scale execution with rigor.

Director of Strategic Finance at Cerebras Systems, a newly public AI chip company. Build corporate FP&A infrastructure, financial models, and reporting systems for a scaling organization. Lead planning, forecasting, and business partnering across the company.

Senior Quality Engineer at Cerebras Systems driving manufacturing quality for AI chip PCBAs and subassemblies. Responsible for process controls, yield improvement, and corrective actions across contract manufacturers in high-volume production.

Sourcing Manager at Cerebras Systems responsible for developing global sourcing strategies for critical AI chip components. Manages supplier relationships, cost optimization, and supply chain risk mitigation for a leading AI hardware company.

Manufacturing Linux Network Engineer at Cerebras Systems designing and maintaining IT/network infrastructure across manufacturing facilities. Expertise in Linux systems, enterprise switching, Palo Alto firewalls, and infrastructure automation required.

Director of Cost Accounting at Cerebras Systems leading cost accounting, inventory, and financial operations for AI chip manufacturing and data center infrastructure. Responsible for costing models, SOX compliance, and IPO readiness across hardware and compute operations.

Manager of data center asset tracking and accounting at Cerebras Systems, responsible for fixed asset management, lease accounting under ASC 842, and financial controls for AI infrastructure globally. Reports to finance leadership and partners with supply chain, manufacturing, and engineering teams.

Senior Billing and Collections Analyst at Cerebras Systems managing order-to-invoice cycles for hardware, professional services, and compute usage. Owns month-end billing close, NetSuite invoicing, and collections support across multiple revenue streams.