Cerebras jobs

Principal AI Security Engineer role at Cerebras Systems focused on designing and building security controls for enterprise IT, infrastructure, AI platforms, and agentic systems. Requires 10+ years of security engineering, platform security, or infrastructure security experience with strong hands-on Python ability and one additional production language. Key responsibilities include defining security architecture, building reusable AI/agent security patterns, developing runtime controls, and automating security reviews. Role emphasizes training/inference workflows, model serving, customer workloads, and agentic systems security. Location listed as US and Canada Offices (no remote-only specification).

Cerebras is hiring a Software Engineer for its Inference Platform team, focused on orchestration layer for distributed AI inference clusters. The role involves building k8s operators, CI/CD, observability, and production architecture for globally distributed systems. Sunnyvale, CA headquarters location (on-site); full-time; no salary provided.

Staff Software Engineer role at Cerebras leading the Inference Platform team (orchestration layer for datacenter AI chip inference clusters). Responsibilities include design feedback, platform architecture, reliability, production leadership, and cross-team technical influence. Requires 8+ years experience with hands-on coding, mentoring, and expertise in Kubernetes, distributed systems, and observability. Located in Sunnyvale, California with no remote option mentioned.

Physical Design Engineer for 3D chip integration, designing and analyzing 3D integrated circuits using Synopsys tools. Requires 10+ years physical design experience, expertise in DRC/LVS, IR/EM analysis, and 3D packaging; on-site in Sunnyvale, CA; salary $230k–$280k.

Lead Full Stack Machine Learning Engineer at Cerebras (India) rapidly bringing up frameworks for RL, inference serving, and ML models on Cerebras CSX systems. Responsibilities span model architecture translation, graph lowering, compiler optimizations, runtime integration, performance tuning, and cross-stack debugging. Requires Bachelor's/Master's/PhD in CS/Engineering with 10+ years experience, full AI toolchain comfort (Python, compiler IRs, profiling), strong deep learning framework experience (PyTorch/TensorFlow, attention/MoE/diffusion internals), C/C++ proficiency, and optimization expertise. On-site in India.

Design Verification Engineer developing and implementing verification strategies for Cerebras hardware designs. Responsibilities include developing test strategies, creating SystemVerilog testbenches, managing regressions, debugging across simulation/emulation/silicon phases, and enhancing verification infrastructure. Requires 3+ years design verification experience, deep SystemVerilog/UVM/DPI knowledge, Python/Perl scripting, and familiarity with simulators and coverage tools. Preferred: pipelined processor architecture knowledge, BS/MS in CS or EE. On-site in India; salary ₹80L–₹1.1Cr annually.

Design Verification Engineer at Cerebras, developing verification strategies and testbenches for complex chip designs. Responsibilities include creating SystemVerilog testbenches, managing regressions, debugging test failures, and collaborating across architecture and RTL teams. Requires 3+ years Design Verification experience, SystemVerilog/UVM expertise, Python/Perl scripting. Located in Sunnyvale, CA (on-site); salary $190k–$230k plus equity.

Business Operations Lead, Datacenters at Cerebras partnering with senior leadership to build operating systems, planning cadence, and execution mechanisms for the Datacenter organization. Responsibilities include monthly/quarterly business reviews, metrics/reporting, strategic planning translation, business planning processes, change management, communications, and cross-functional coordination. Requires experience in business operations, program management, or operational leadership in datacenter/infrastructure environments, strong analytical and execution skills, clarity-building in ambiguity, and experience scaling organizations. On-site in Sunnyvale.

ASIC Architect position at Cerebras focused on translating high-level architecture specs into micro-architecture features, performance/power modeling, and hardware acceleration opportunities. Requires Masters/PhD and 10+ years in performance analysis across GPUs/CPUs/accelerators. Role emphasizes hardware architecture trade-offs, Python-based performance modeling, and kernel-level optimization for AI/ML workloads.

This Network Architect role shapes front-end datacenter and interconnect fabric for Cerebras AI clusters, requiring deep expertise in cluster networking, high-performance computing, and distributed systems. It demands strong networking fundamentals (RoCEv2, ECMP, congestion control), Python automation, observability/telemetry, and SRE practices. The role requires a PhD in CS/EE plus 5+ years industry experience (or Master's plus 10+ years) and is based in Sunnyvale headquarters.

A Senior/Staff Technical Program Manager role owning end-to-end datacenter capacity delivery (forecast → site strategy → design → construction → operations). Responsibilities include orchestrating cross-functional execution across real estate, power, design, procurement, construction, and deployment; managing MW-scale AI infrastructure build-outs; identifying and resolving critical risks; and maintaining program governance and executive reporting. Requires 12-15+ years in mission-critical facilities/datacenter management, deep infrastructure knowledge, cross-functional leadership, and program management expertise. This is technical program management and operations, not software engineering. Position is on-site at Cerebras' Sunnyvale headquarters with up to 50% travel.

Director/Senior Director of Critical Facility Operations role focused on leading availability, operational integrity, and performance across a colocation-driven data center footprint. Responsibilities include building a no-downtime operating model, vendor management and orchestration, SLA alignment, preventive/predictive maintenance strategy, SOPs standardization, and multi-site leadership. Requires 12–15+ years in mission-critical facilities or data center operations with expertise in electrical and mechanical systems. Based on-site in Sunnyvale.