Cerebras

Cerebras Systems is seeking a senior front-end design engineer to join the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role involves deep expertise in RTL design and integration, focusing on high-performance, power-efficient, and scalable solutions. You will collaborate closely with verification, physical design, software, and system teams to bring innovative semiconductor architectures from concept to production, tackling the unique challenges of building WSE systems. The company's architecture enables industry-leading AI training and inference speeds, transforming AI applications and unlocking real-time iteration and agentic computation.

$200k - $290k

Cerebras Systems is seeking a senior software engineer to build and scale the platforms and tools used to monitor and manage its growing fleet of AI clusters across multiple data centers. This role involves owning substantial engineering work across backend services, operational tools, and user-facing applications. You will collaborate with various teams, including Cluster Operations, infrastructure, inference, security, and data center teams, to translate operational challenges into reliable, scalable software solutions. The goal is to ensure fleet health, efficient issue response, and continuous compute capacity availability.

Cerebras Systems is seeking an AI and Automation Engineer to join their Business Intelligence and Systems team. This role involves designing, building, and operating secure AI solutions and enterprise automations for the company. You will translate complex requirements from Finance, Accounting, Supply Chain, and other business units into reliable agents, applications, integrations, and controlled workflows. The position requires a blend of solution architecture, direct engineering, production support, and agile delivery, with a strong emphasis on software engineering judgment and practical business process knowledge to move prototypes into secure, supportable production services.

The Core ML team is seeking an engineer to map novel algorithms for efficient large-scale AI training and inference to the Cerebras architecture. This role involves determining when these algorithms outperform competing approaches and how their advantages scale with models, workloads, and hardware. You will combine analytical performance modeling, empirical benchmarking, and hands-on prototyping to characterize the efficiency frontiers of emerging ML algorithms. Your work will span kernel-level and end-to-end performance, influencing research directions, implementation on current systems, and future hardware/software capabilities.

The Core ML team is seeking an engineer to bridge the gap between novel machine learning research and efficient execution on Cerebras systems. You will work across ML frameworks, compilers, runtimes, and low-level kernels to implement new algorithmic capabilities, diagnose performance bottlenecks, and transform research prototypes into robust, high-performance demonstrations. Depending on your background, your work may emphasize runtime capabilities such as token orchestration, scheduling, communication, and distributed execution; low-level kernel development for novel ML operations; or a combination of both. This role is crucial for advancing the capabilities of Cerebras' unique AI chip architecture.

Cerebras is developing a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine. We are seeking a Software Engineer to build and enhance the ML API layer, making this heterogeneous serving system accessible, reliable, and user-friendly. You will operate across our inference APIs, model integration layer, request-routing services, and the Cerebras inference platform to ensure a consistent experience across various models and accelerator backends. This role is at the intersection of machine learning systems, API design, model serving, and distributed systems, enabling new model architectures and inference capabilities while defining stable user-facing behavior and ensuring features like streaming, sampling, tool use, structured outputs, and multimodal inputs function correctly in production.

Cerebras Systems is seeking a Senior Staff AI Accelerator Performance Architect to guide the evolution of their next-generation AI systems. This role involves connecting real-world AI workloads to architectural behavior, identifying critical bottlenecks, quantifying potential improvements, and influencing hardware and software roadmaps through rigorous performance analysis. The ideal candidate will possess deep knowledge of hardware architecture, gained through experience in hardware, compiler, kernel, or system performance work, and thrive at the intersection of applications, kernels, architecture, and system performance. This position focuses on performance evaluation and architectural recommendations, rather than production RTL design.

$175k - $275k

Cerebras Systems is seeking a Senior Fullstack Engineer to take ownership of and scale critical components of the Cerebras Developer Console. This role involves building high-quality frontend systems using Next.js and TypeScript, and designing backend services with GraphQL, Postgres, and Redis to manage usage tracking, billing, quotas, and observability. The systems will operate at high scale, requiring careful data modeling and balancing real-time and batch processing. The ideal candidate will make strong architectural decisions, drive projects from conception to production, and take end-to-end responsibility for major platform areas like billing and request logs. This is a deeply technical, end-to-end role focused on impacting customer experience and revenue.

Cerebras Systems is seeking a Software Engineer to design and build the core software powering their engineering infrastructure. This role involves working on Python frameworks, orchestration systems, distributed execution, scheduling, test infrastructure, and developer tooling. The ideal candidate enjoys dissecting unfamiliar code, understanding system interdependencies, tackling complex debugging challenges, and improving underlying designs rather than implementing quick fixes. The team values strong software engineering fundamentals, independent problem-solving, and sound systems thinking.

Cerebras Systems is seeking a Senior Software Engineer to build and operate the platform layer behind their engineering infrastructure. This role focuses on designing, building, and maintaining CI/CD systems, Kubernetes-based platforms, and deployment automation. You will work on cloud and on-premises infrastructure, developer environments, artifact management, and observability, ensuring these systems are reliable, scalable, and easy to operate. This is an engineering-focused role where you will automate repetitive tasks, debug complex issues across system boundaries, and drive durable software and platform improvements.

Cerebras Systems is seeking a hands-on SDET Technical Lead to establish and lead Release Integration Testing for AI Inference Core. This role is crucial for transforming integrated features into reliable production releases by defining the quality strategy across the entire release cycle, from feature integration to post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify and address release risks. This is a technical leadership position where you will design test architecture, lead debugging and release decisions, mentor engineers, and contribute to software and automation development.

As a Kernel Engineer at Cerebras, you will develop high-performance software at the intersection of hardware and software for cutting-edge artificial intelligence and high-performance computing workloads. You will help implement, optimize, and validate machine learning and linear algebra operations for the Cerebras Wafer-Scale Engine, our custom massively parallel processor architecture. Working alongside experienced kernel, compiler, performance, and hardware engineers, you will learn how algorithms are mapped to specialized hardware and contribute to software that maximizes compute utilization and system performance. You will be part of a team responsible for the design, development, performance tuning, and validation of foundational ML and HPC kernels. This is an excellent opportunity for a new graduate who is interested in computer architecture, parallel programming, low-level software, and machine learning systems.

Cerebras Systems is seeking a Senior Software Development Engineer in Test (SDET) to join their AI Cluster team. This role is crucial for ensuring the reliability of large-scale AI infrastructure deployments, aiming for 99.999% uptime. The ideal candidate will innovate and execute tests on cutting-edge AI infrastructure, define optimized test strategies, and adapt quickly to new technologies within the rapidly evolving ML community and AI model landscape. A key focus will be on automating tests to drive efficiency and scalability across all cluster features, including high availability, failure scenarios, performance, stress, and security.

Cerebras Systems is seeking a Senior Software Engineer in Test for the ML API features team. This role will lead testing strategy and execution for AI/ML models, focusing on accuracy, fairness, and performance at scale. You will be a key technical leader in validating software and hardware components for Cerebras API Features, owning feature integration quality and driving pre-deployment and production validation for inference solutions. The position involves defining and championing best testing practices, establishing debugging methodologies, and mentoring junior engineers to ensure world-class product quality within a rapidly scaling and complex environment.

Cerebras Systems is seeking a Software Engineer to join their Inference Platform team. This role involves contributing to the orchestration layer that manages inference on datacenter clusters, bridging cloud components with machine learning services. You will tackle novel problems in areas such as Kubernetes operators, service security policies, and CI/CD, helping to shape the next-generation architecture of a globally distributed inference platform.

Cerebras Systems is seeking a Staff Engineer to join their Inference Platform team. This role will focus on the orchestration layer responsible for running inference on datacenter clusters, bridging cloud components with machine learning services. The team tackles novel challenges in areas like Kubernetes operators, service security, and CI/CD, aiming to build the next-generation architecture for a globally distributed inference platform.

Cerebras Systems is seeking an AI Engineer focused on Model Quality and Performance to define and measure the quality of AI models for Cerebras' inference offerings. This role involves building AI-driven systems to assess model performance at scale and translate these insights into actionable artifacts for customers and the product team. You will leverage AI agents to create custom evaluation suites tailored to specific customer use cases, extract representative test data, automate release qualification processes, and develop performance datasets and benchmarking workflows. The ideal candidate will have a strong inclination towards automating tasks using AI agents and will collaborate closely with engineering, product, and customer-facing teams.

As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation.

Cerebras Systems is seeking a Principal Investigator to lead a new Machine Learning (ML) team focused on innovative AI efforts. This role involves partnering with ML leaders to define the team's direction, build its capabilities, and coordinate with existing ML teams (Field ML, Applied ML, Core ML). The new team will explore critical areas such as post-training and reinforcement learning, dataset curation and optimization, LLM pretraining, sparsity techniques, and various AI domains including coding agents and generative language models.

Cerebras is developing a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine. We are seeking a Software Engineer to productionize and optimize our GPU serving stack. This role involves working across custom inference APIs, the vLLM serving runtime, the AMD ROCm software stack, and rack-scale AMD GPU infrastructure to ensure this new serving path is reliable, numerically correct, observable, and exceptionally performant. You will write production code, establish operational practices for a new accelerator fleet, and drive improvements in time to first token, throughput, tail latency, and capacity efficiency. This is a hands-on role requiring deep debugging and optimization across application, runtime, distributed systems, and hardware layers.