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 hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About the Role: We are looking for a hands-on Infrastructure Engineer to join our team and support our high-performance, on-premise server and networking infrastructure. You will be responsible for maintaining, provisioning, and troubleshooting hardware and Linux systems, working closely with network and system teams. This is an in-person role, ideal for someone who enjoys working across hardware, networking, and system layers.
Key Responsibilities:
Physically install, rack, cable, and maintain blade servers and hardware components (CPUs, DIMMs, NICs, storage devices, etc.)
Connect servers to high-speed networks (100G/400G), verify optics/DACs, and check link status
Configure BIOS, firmware, and out-of-band management (IPMI/iDRAC/iLO)
Install and provision Linux OS; configure hostnames, IPs, routing, and NFS mount points
Debug network issues at physical and OS level (VLAN, link issues, routing, etc.)
Use Linux tools (e.g., ip, dmesg, netstat, ping) to isolate and fix issues
Follow provisioning playbooks and maintain accurate records of assets and changes
Use scripting (Bash, Python) to automate routine tasks and improve efficiency
Collaborate with internal teams (network, systems, storage) and coordinate vendor RMAs
Document procedures and contribute to team knowledge base
Troubleshoot and replace failed server components with minimal downtime
Qualifications:
3–5+ years of experience in data center, lab, or infrastructure engineering roles
Proficient in Linux system administration and network configuration
Strong hands-on knowledge of x86 server hardware and enterprise networking
Familiar with BIOS configuration, firmware updates, and remote management tools
Skilled in physical setup and troubleshooting of high-speed NICs and optical links
Experience with VLANs, static routing, and diagnosing layer 1–3 issues
Ability to write scripts for automation and diagnostics (Bash, Python preferred)
Comfortable working on-site daily and lifting/moving server hardware
Preferred Skills:
Experience with PXE, NFS, RAID controllers, and monitoring tools
Familiarity with configuration management tools (e.g., Ansible)
Prior experience in a lab or R&D hardware/software environment
This is a unique opportunity to work with cutting-edge infrastructure and grow into more senior technical roles. If you enjoy bridging hardware and software with hands-on work, we’d love to hear from you.ADD DESCRIPTION HERE
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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