---
title: 'BMS / EPMS Controls Lead at Cerebras Systems'
canonical: 'https://feeny.ai/job/bms-epms-controls-lead-cerebras-systems-united-states-24sf3ksg7bbb'
type: 'job'
last_seen: '2026-11-10'
---

# BMS / EPMS Controls Lead at Cerebras Systems

- **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems)
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/cerebras/a7b631a6-292f-4fae-8b7d-a4e4f82956bb

## Job description

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](https://openai.com/index/cerebras-partnership/) with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

## The Role

Cerebras is expanding the data center infrastructure that supports its AI systems. The BMS / EPMS Controls Engineer will define and deliver the building automation and electrical power monitoring systems for high-density data center projects, working across leased facilities, fit-outs and other deployment models. This role will turn Cerebras requirements into clear control and monitoring standards that can be implemented consistently by colo partners, design consultants, EPC contractors and equipment vendors.

The controls lead will own controls requirements from design review through integration, commissioning and handoff. The work spans the BMS and EPMS boundary: monitoring critical electrical and mechanical equipment, validating alarms and sequences, coordinating system interfaces, and ensuring the delivered platform gives facilities teams accurate, usable information to operate the site.

## Responsibilities

- Own the BMS and EPMS Basis of Design, design criteria, control narratives, sequence of operations, points lists, alarm philosophy and standard details for Cerebras data center deployments.
- Review consultant, colo-provider and contractor design packages, including control schematics, network architecture, panel layouts, equipment schedules, submittals and integration matrices; track comments through closure.
- Define monitoring and control interfaces for switchgear, transformers, generators, UPS, PDUs/RPPs, meters, chillers, pumps, CDUs, heat exchangers, leak detection and environmental systems, as applicable to each project.
- Coordinate controls scope and responsibilities among Cerebras engineering, colo operations, electrical and mechanical designers, EPC/GC teams, controls contractors, OEMs, commissioning agents and IT/OT security.
- Specify and review system integration using protocols such as BACnet/IP, Modbus TCP/RTU, SNMP and OPC UA where appropriate; verify points mapping, time synchronization, naming, alarming, trending and data retention requirements.
- Apply controls network and cybersecurity requirements, including network segmentation, access controls, remote access, account management, change control and coordination with Cerebras security and IT teams.
- Lead controls readiness through submittal reviews, factory and site acceptance testing, integrated systems testing, commissioning and closeout; verify sequences, failover behavior, alarms, trends, graphics and equipment status.
- Help resolve field issues and control-system deficiencies; assess proposed changes for impacts to safety, reliability, schedule, cost and maintainability.
- Develop reusable standards, checklists, commissioning scripts and lessons learned that improve execution across multiple sites and support a growing delivery pipeline.
- Prepare clear status updates, technical recommendations, risk items and decision requests for project and engineering leadership.

## Skills & Qualifications

## Minimum

- Bachelor’s degree in Electrical, Mechanical, Controls, Building Systems Engineering or a related field, or equivalent relevant experience.
- 7+ years of experience delivering BMS, EPMS, controls or instrumentation systems in data centers, other mission-critical facilities or complex industrial environments.
- Hands-on experience reviewing control drawings, sequences, points lists, network diagrams, submittals and commissioning documentation.
- Working knowledge of power monitoring and building automation systems, including critical alarms, electrical metering, mechanical plant monitoring and equipment integration.
- Experience coordinating controls contractors, equipment vendors, design consultants and commissioning teams through design, construction and turnover.
- Ability to troubleshoot integration issues and communicate technical requirements clearly to both engineering teams and field personnel.
- Willingness to travel to project sites and support time-sensitive construction and commissioning milestones.

## Preferred

- Experience with high-density AI or liquid-cooled data centers, including CDUs, pumps, heat exchangers and leak detection.
- Familiarity with platforms such as Siemens, Schneider Electric, Johnson Controls, Honeywell, Tridium Niagara or comparable BMS/EPMS systems.
- Knowledge of BACnet, Modbus, SNMP, OPC UA, DNP3 or related integration protocols and common OT security practices.
- Experience with integrated systems testing, commissioning levels, FAT/SAT, cause-and-effect testing or operational readiness.
- Experience developing scalable controls standards for multi-site programs or working with colocation providers and EPC delivery teams.
- Relevant professional license or controls, commissioning, cybersecurity or data center certification.

## 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](https://www.cerebras.ai/join-us)! 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. This website or its third-party tools process personal data. For more details, click [here](https://www.cerebras.net/privacy/) to review our CCPA disclosure notice.

## About Cerebras Systems

## Company Overview
- **One-liner**: Cerebras builds wafer-scale AI chips (the largest semiconductors ever made) and supercomputers that deliver up to 15x faster inference than GPUs, offered both on-premises and via cloud APIs.
- **Entity Type**: Public (NASDAQ: CBRS) — filed for IPO and now listed on the Nasdaq.
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: 2015
- **Founders**: Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, Jean-Philippe Fricker

## Core Business
- **Primary industries**: Semiconductor manufacturing, AI computing hardware and software, cloud AI services.
- **Target customers**: B2B – enterprises, government research labs, cloud service providers, and AI developers.
- **Mission**: “Building impossible technologies so you can too” – accelerating AI through wafer-scale computing.

## Products & Services
- **Wafer-Scale Engine (WSE-3)**: The world’s largest AI chip (215 mm²), 58x larger than a typical GPU, built for ultra‑fast AI training and inference. Manufactured by TSMC.
- **CS-3 Supercomputer**: A single system powered by the WSE-3, delivering record-breaking AI performance for on-premises deployment.
- **Cerebras AI Inference Cloud & Training Cloud**: Pay-as-you‑go APIs that provide drop‑in OpenAI‑compatible access to Cerebras’ hardware for serving, fine‑tuning, and pre‑training models.
- **Condor Galaxy Network**: A series of supercomputers (e.g., CG‑1 with 4 exaFLOPs) built in partnership with G42 for high‑performance AI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (recently public; market cap data not available in provided sources).
- **Key Metric**: Annual revenue of $78.7 M (latest); total funding of $2.7 B across 15 rounds.
- **Notable Investors/Partners**: G42, OpenAI (signed in 2026), Amazon Web Services (signed in 2026), Meta (Llama API), Perplexity, Mistral, Hugging Face, OpenRouter.
- **Growth Signals**: 
  - 34.3% YoY headcount growth (701 employees).
  - Rapid data center expansion across North America and Europe.
  - Won the HPCwire Readers’ & Editors’ Choice 2025 for Best AI Product/Technology.
  - Named to Forbes America’s Best Startup Employers 2026 and Fast Company Most Innovative Companies 2026 (AI).

## Competitive Advantages
- **Wafer‑scale architecture**: Eliminates interconnect bottlenecks, reducing latency and delivering up to 15x faster inference than GPU clusters.
- **Largest AI chip ever built**: 58x larger than any GPU, enabling massive on‑chip memory (SRAM) and compute density.
- **Full‑stack offering**: Hardware + cloud APIs + on‑prem systems, giving customers deployment flexibility.
- **Strong customer relationships**: Key contracts with OpenAI, AWS, G42, and Mayo Clinic (2024 Gordon Bell Prize work).

## Strategic Focus
- **Scale inference capacity**: Building out data centers to become the world’s #1 provider of high‑speed AI inference.
- **Deepen cloud partnerships**: Expanding pay‑as‑you‑go cloud access and enterprise deployments.
- **Advance wafer‑scale technology**: Continuous R&D on WSE‑3 successors and software stack (compiler, ML workflows).
- **Broaden model support**: Already serving Llama, Gemma, Qwen, Mistral, and more; integrating with Hugging Face and OpenRouter.

## Why Work Here
- **Culture**: “Extraordinary people, breakthrough innovation, global impact” – the company highlights collaborative, low‑overhead teams with little bureaucracy.
- **Work environment**: Hybrid/office with locations in Sunnyvale, San Diego, Toronto, and Bangalore. Inclusive and flexible policy.
- **Perks**: Premium medical/dental/vision, life insurance, generous vacation, 401(k) and Group RRSP retirement plans, daily catered meals, healthy snacks, family‑friendly events (including CEO’s famous BBQ).
- **Engineering focus**: Tackling fundamental challenges in chip design, system software, compiler technology, and ML workflows. Positions range from hardware (Design Verification, Manufacturing) to software (SRE, Compiler, Cloud).
- **Philanthrophy**: Supports local communities and hosts students from around the world for Q&A.

## Sources
1. [cerebras.ai/company](https://www.cerebras.ai/company)
2. [cerebras.ai](https://www.cerebras.ai/)
3. [cerebras.ai/join-us](https://www.cerebras.ai/join-us)
4. [linkedin.com/company/cerebras-systems](https://www.linkedin.com/company/cerebras-systems)

## Other roles at Cerebras Systems

- [Developer Relations](https://feeny.ai/job/developer-relations-cerebras-systems-sunnyvale-my5ztdgg7000) — Sunnyvale, CA
- [Staff TPM - Datacenter Delivery (E2E)](https://feeny.ai/job/staff-tpm-datacenter-delivery-e2e-cerebras-systems-sunnyvale-a6ca21bb2wbx) — Sunnyvale, CA
- [Staff Technical Program Manager, Data Center New Product Introduction](https://feeny.ai/job/staff-technical-program-manager-data-center-new-product-introduction-cerebras-ht0etjc8v7qz) — Sunnyvale, CA
- [Staff Technical Program Manager, Data Center Data & Tooling](https://feeny.ai/job/staff-technical-program-manager-data-center-data-tooling-cerebras-systems-3rwhqxeakvh7) — Sunnyvale, CA
- [Staff Technical Program Manager, Data Center Supply Chain](https://feeny.ai/job/staff-technical-program-manager-data-center-supply-chain-cerebras-systems-k51xz6y08yk8) — Sunnyvale, CA
- [AI Engineer](https://feeny.ai/job/ai-engineer-cerebras-systems-sunnyvale-0nx4xzp63bh9) — Sunnyvale, CA
- [Senior Software Engineer, ML API – AI Inference](https://feeny.ai/job/senior-software-engineer-ml-api-ai-inference-cerebras-systems-toronto-myd4p8sxeaa5) — Toronto, Canada
- [Power Manufacturing Test Development Engineer](https://feeny.ai/job/power-manufacturing-test-development-engineer-cerebras-systems-sunnyvale-x2ggztbzgte6) — Sunnyvale, CA
- [Staff Software Engineer, Observability](https://feeny.ai/job/staff-software-engineer-observability-cerebras-systems-sunnyvale-rb9wk9d4aw0y) — Sunnyvale, CA
- [Senior Backend Engineer, Inference Cloud](https://feeny.ai/job/senior-backend-engineer-inference-cloud-cerebras-systems-sunnyvale-3q81ycew9hec) — Sunnyvale, CA