Binangonan, Rizal, Philippines · Remote OK
$170k–$175k/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: Docker, Kubernetes, Java, C++, ActiveMQ
Binangonan, Rizal, Philippines · Remote OK
$230k–$250k/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: Python, AWS, Docker, Kubernetes, Terraform
Binangonan, Rizal, Philippines · Remote OK
$250k–$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: Electrical Signal Integrity Analysis, Hardware Bring-up & Debug, Functional and Electrical Characterization, Test Automation, High Speed Interfaces & Protocols
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: 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
$204k–$360k/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: Clinical Trial Strategy, Project Management, Regulatory Compliance, Clinical Evidence Generation, Budget Management
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
Binangonan, Rizal, Philippines · On-site
$137k–$231k/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: Supplier Process Engineering, Part Qualification, pFMEA, Process Validation, ASME Y14.5 GD&T
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Implement and optimize high-performance, low-latency inference infrastructure using Kubernetes and Docker. Develop Python-based scripts and APIs to streamline data preprocessing and ensure system reliability through automated monitoring and debugging.
Requires a Master's degree in Computer Science or a related field and at least 1 year of experience in software development. Proficiency in container orchestration, multiple programming languages, and database management is required.
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 seeking a Software Engineer to develop and maintain high-performance, low-latency inference infrastructure. This role focuses on deploying and optimizing scalable inference services, collaborating with cross-functional teams, and ensuring reliable, production-ready machine learning infrastructure.
Responsibilities
Implement infrastructure to support high-performance, low-latency inference service.
Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads.
Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs.
Integrate inference services with containerized environments using Docker and Kubernetes for orchestration.
Ensure high availability and fault tolerance by implementing multi-region deployments and disaster recovery strategies.
Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements.
Triage and resolve defects in the service by analyzing logs, metrics, and distributed traces.
Debug issues related to model deployment, container orchestration, or networking configurations, documenting steps to reproduce and root-cause defects.
Collaborate with cross-functional teams to address performance regressions, scalability issues, or integration failures in the inference pipeline.
Develop automated scripts to detect and mitigate common failure modes, improving system reliability.
Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.
Participate in release planning and prioritization discussions to align infrastructure development with customer needs and business objectives.
Master's degree (or foreign equivalent) in Computer Science or a related field.
One (1) year of experience as a Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or a related occupation.
Employer accepts full-time or equivalent part-time experience gained before, during, or after graduate studies.
Docker and Kubernetes;
Java or C++;
ActiveMQ and Kafka;
Python or Groovy;
JavaScript or TypeScript;
Linux;
SQL, OracleDB, and Redis; and
Git
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 39 open engineering 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 39 open engineering positions offer remote or hybrid work (5 remote, 3 hybrid).
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