Binangonan, Rizal, Philippines · On-site
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 …
Skills: Linux Administration, Network Engineering, Palo Alto Firewalls, Ansible, BGP
Binangonan, Rizal, Philippines · On-site
$175k–$275k/yr
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 …
Skills: SMT Manufacturing, IPC Standards, Statistical Process Control, PFMEA, 8D Problem Solving
Binangonan, Rizal, Philippines · On-site
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 …
Skills: Asset Tracking, Fixed Asset Accounting, Lease Accounting, ASC 842, GAAP
Binangonan, Rizal, Philippines · On-site
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 …
Skills: vLLM, SGLang, TensorRT-LLM, CUDA, Triton
Binangonan, Rizal, Philippines · On-site
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 …
Skills: SRE, DevOps, Python, Go, Terraform
Binangonan, Rizal, Philippines · On-site
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 …
Skills: AI Model Design, PyTorch, Python, C, Optimization Theory
Binangonan, Rizal, Philippines · On-site
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 …
Skills: Computer Architecture, AI/ML Theory, High Performance Computing, C, Python
Binangonan, Rizal, Philippines · On-site
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 …
Skills: WAN Engineering, BGP, VXLAN, EVPN, IPSec Tunnels
Binangonan, Rizal, Philippines · On-site
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 …
Skills: Compiler Development, IR Design, Code Generation, C Programming, Computer Architecture
Binangonan, Rizal, Philippines · On-site
$180k–$230k/yr
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 …
Skills: Technical Program Management, Hardware Design, Product Lifecycle Management, Manufacturing Workflows, Embedded Software
Binangonan, Rizal, Philippines · On-site
$175k–$275k/yr
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 …
Skills: Design Validation Test, Board Bring-up, Power Delivery Validation, High-Speed I/O Validation, Root Cause Analysis
Binangonan, Rizal, Philippines · On-site
$150k–$254k/yr
Company Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in r…
Skills: Product Management, Project Management, Software Development, Product Launch, Sustaining Engineering
Binangonan, Rizal, Philippines · On-site
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 …
Skills: Product Marketing, AI Benchmarking, Technical Writing, Influencer Marketing, Community Management
Binangonan, Rizal, Philippines · On-site
$150k–$260k/yr
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 …
Skills: Printed Circuit Board Design, Schematic Design, Component Selection, Board Layout, Lab Bring-up
Binangonan, Rizal, Philippines · On-site
$175k–$275k/yr
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 …
Skills: C++, Golang, Embedded Systems, Linux BSP, Distributed Systems
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Design, implement, and maintain robust IT and network infrastructure across manufacturing facilities, including LAN/WAN and high-speed core switching. Ensure high availability and security for plant-floor operations through automation and proactive performance monitoring.
Requires a Bachelor's degree and 4+ years of experience in network and Linux infrastructure engineering, preferably in an industrial setting. Must have deep expertise in RHEL/Rocky Linux, Palo Alto firewalls, and infrastructure automation tools like Ansible.
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.
We are seeking an experienced Manufacturing Linux / Network Engineer to design, implement, and maintain robust IT and network infrastructure across our manufacturing facilities. The ideal candidate brings deep expertise in Linux systems administration (Red Hat / Rocky Linux), network security (Palo Alto firewalls), storage infrastructure, CI/CD pipelines (Jenkins), and infrastructure automation (Ansible). This role sits at the intersection of enterprise IT and plant-floor operations, and is critical to delivering the high availability, security, and performance that modern manufacturing environments demand.
Design, deploy, and maintain LAN/WAN network infrastructure spanning manufacturing plants, warehouses, cloud providers, and corporate sites.
Implement and manage high-speed core switching at 10G and 100G using Arista, Juniper, and other enterprise switching platforms; ensure scalable, resilient fabric design.
Configure, troubleshoot, and optimize Layer 2/3 networking (LACP, VLANs, BGP) and security controls (Palo Alto firewalls, VPNs, NAC, IDS/IPS); manage ISP link failover and path redundancy.
Deploy, configure, and maintain Linux servers (Red Hat / Rocky Linux) using automation tools including Ansible, MAAS, Foreman, and custom scripting to ensure consistent, repeatable provisioning.
Monitor network and system performance — uptime, latency, bandwidth utilization, and capacity — across all sites; proactively detect and resolve issues before they impact
Design and maintain redundancy, failover, QoS, and traffic engineering strategies to support 24/7 manufacturing operations and minimize unplanned downtime.
Manage structured cabling, Wi-Fi 6/6E wireless infrastructure, and ruggedized networking hardware suited for plant-floor environments.
Partner with engineering, automation, OT, and IT security teams to ensure secure and reliable connectivity for production and operational systems.
Lead and contribute to greenfield and brownfield IT/OT modernization projects, including network redesigns for new equipment rollouts and facility expansions.
Own network documentation including topology diagrams, IP address management (IPAM), and standard operating procedures; keep them current as infrastructure evolves.
Provide Tier 2/3 support for network and Linux system incidents at manufacturing sites; participate in on-call rotation for production-critical issues.
Bachelor’s degree in Computer Science, Information Technology, Electrical Engineering, or a related field.
4+ years of experience in network and Linux infrastructure engineering, preferably in a manufacturing or industrial environment.
Deep Linux expertise with Rocky Linux / RHEL, including administration of core infrastructure services: DNS, DHCP, and network storage (NFS).
Hands-on experience with Palo Alto Networks firewalls, including policy management, threat prevention, and configuration of active/standby ISP failover links.
Demonstrated ability to automate infrastructure at scale; proven track record applying Infrastructure as Code (IaC) best practices using Ansible, Terraform, or equivalent tooling.
Strong knowledge of networking fundamentals: TCP/IP, VLANs, routing protocols (OSPF, BGP), switching, and network security.
Experience with enterprise network vendors including Cisco, Arista, and Juniper; familiarity with ruggedized industrial switches (Hirschmann, Cisco IE series, or similar).
Knowledge of cybersecurity best practices aligned with NIST frameworks.
Experience with wireless networking (Wi-Fi 6, cellular/private LTE) in industrial or plant-floor settings.
Experience with network monitoring and observability platforms (Grafana, Zabbix, or similar) and on-call alerting integrations such as PagerDuty.
Ability to review data center and plant-floor physical designs; experience collaborating with cabling vendors and server rack build teams to implement structured cabling best practices.
Comfortable working on the plant floor alongside cross-functional teams including maintenance, engineering, and operations.
Strong troubleshooting, documentation, and communication skills.
Able to participate in on-call rotation and respond to after-hours production-critical incidents.
Experience with Python scripting for network automation, configuration management, and compliance reporting.
Experience with cloud connectivity and hybrid network architectures (AWS, Azure, or GCP) in manufacturing contexts.
Familiarity with MES platforms and their integration with enterprise IT systems.
Knowledge of structured cabling standards (TIA-568, IEC 11801) and data center operations within manufacturing environments.
Experience with SD-WAN solutions for multi-site manufacturing connectivity.
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!
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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Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
There are currently 35 open technology positions in Binangonan, Philippines listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Cerebras, Intuitive, Wayve, among others. Browse the listings above to see every active employer.
Yes — 8 of the 35 open technology positions offer remote or hybrid work (4 remote, 4 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
