Full-Time

Mechanical Engineer

Cerebras

Cerebras

501-1,000 employees

AI accelerator hardware replacing GPUs

No salary listed

Sunnyvale, CA, USA

In Person

Bachelor's

Category
Mechanical Engineering (1)
Required Skills
Graphics Processing Unit (GPU)

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Requirements
  • A Bachelor's degree in Mechanical Engineering is required.
  • At least 8 years of experience in mission-critical facilities or hyperscale data centers is required.
  • Strong understanding of chilled water cooling systems is required.
  • Experience with high-density artificial intelligence or high-performance computing cooling is required.
  • Knowledge of data center cooling infrastructure is required.
  • Construction and commissioning experience is required.
  • Ability to interpret mechanical drawings is required.
  • Excellent communication and project management skills are required.
Responsibilities
  • Serve as the subject matter expert for mechanical infrastructure across assigned projects.
  • Review and approve basis of design documents, drawings, equipment submittals, requests for information, and change requests.
  • Ensure compliance with Cerebras engineering standards.
  • Validate cooling architectures supporting high-density artificial intelligence deployments.
  • Provide technical oversight for in-row and rear-door cooling systems, coolant distribution units, thermal expansion tanks, buffer tanks, stainless steel piping, hot aisle containment, mechanical supports, leak detection systems, CRAH and CRAC integration, water treatment systems, and white-space mechanical distribution.
  • Act as the owner's representative during design, construction, and commissioning.
  • Review developer design decisions.
  • Participate in design workshops.
  • Resolve technical issues.
  • Evaluate value engineering proposals.
  • Ensure contracted mechanical scope is delivered.
  • Perform regular site inspections.
  • Monitor installation quality.
  • Review contractor installation methods.
  • Support schedule recovery planning.
  • Validate installations against approved drawings.
  • Participate in turnover inspections.
  • Support factory acceptance testing, site acceptance testing, integrated systems testing, functional performance testing, mechanical startup, cooling optimization, and owner acceptance.
  • Review commissioning documentation and verify system performance prior to turnover.
  • Ensure complete operations and maintenance documentation.
  • Develop a spare parts strategy.
  • Support maintenance procedures.
  • Verify asset documentation.
  • Coordinate training packages.
  • Manage mechanical warranties.
  • Work with Electrical Engineering, Network Engineering, Construction Technical Program Managers, Commissioning Managers, Capacity Planning, Operations, Procurement, colocation providers, and original equipment manufacturers.
Desired Qualifications
  • A Professional Engineer license is preferred.
  • Experience supporting leased data centers, hyperscale data centers, or artificial intelligence data centers is preferred.
  • Familiarity with liquid cooling is preferred.
  • Knowledge of ASHRAE thermal guidelines is preferred.
  • Experience with BIM, Revit, or Navisworks is preferred.
  • Familiarity with computational fluid dynamics analysis is preferred.

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company’s goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company Size

501-1,000

Company Stage

IPO

Headquarters

Sunnyvale, California

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • August 12, 2026 core revenue reached $209.9 million, up 103% year over year.
  • Cerebras raised 2026 core revenue guidance to $880 million-$890 million after strong inference demand.
  • Europe expansion targets 200 MW by 2027, with first capacity online by end-2026.

What critics are saying

  • MBZUAI supplied 63% of Q1 2026 revenue; one contract shock hits 2026 results.
  • Pomerantz and Schall launched securities investigations after June 2026 disclosures and stock declines.
  • Nvidia, AMD, and Broadcom pressure margins; any OpenAI delay threatens Cerebras’ 2027 expansion.

What makes Cerebras unique

  • Cerebras’ wafer-scale engine keeps weights and compute on one die, crushing interconnect bottlenecks.
  • August 12, 2026 results showed core cloud revenue up 287%, proving inference leadership.
  • OpenAI and AMD partnerships position Cerebras inside disaggregated inference and sovereign AI deployments.

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Benefits

Professional Development Budget

Flexible Work Hours

Remote Work Options

401(k) Company Match

401(k) Retirement Plan

Mental Health Support

Wellness Program

Paid Sick Leave

Paid Holidays

Paid Vacation

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Elder Care Support

Pet Insurance

Bereavement Leave

Employee Discounts

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-3%

2 year growth

0%
Tech in Asia
Aug 13th, 2026
Cerebras lifts 2026 outlook, expands OpenAI chip deal worth over $20B

AI chipmaker Cerebras has raised its 2026 outlook, banking on growing demand for AI inference computing to compete with Nvidia. The company is scaling up chip production to support a multi-year agreement with OpenAI worth over $20 billion for AI compute infrastructure. Despite the improved forecast, Cerebras shares dropped more than 14% in after-hours trading following the results announcement. Investors remain concerned about customer concentration, after public filings revealed that Mohamed bin Zayed University of Artificial Intelligence accounted for 62% of the company's revenue last year. The chipmaker is positioning itself to capitalise on the computational demands of AI chatbot queries and other inference workloads.

Yahoo Finance
Aug 12th, 2026
Cerebras Systems drops 14% as Q2 loss widens to $2.98 per share, revenue falls short

Cerebras Systems shares fell 14% in after-hours trading after reporting second-quarter results that missed expectations. The AI infrastructure company posted an adjusted loss of $2.98 per share, significantly wider than the estimated loss of $0.18 per share. Revenue came in at $180.1 million, below the $193.6 million consensus and down 7% year-over-year. However, core revenue reached $209.9 million, up 103% year-over-year. Cloud revenue showed strong growth, with core cloud revenue reaching $127.7 million, up 287% year-over-year. Core gross margin improved to 41%, up approximately 940 basis points from the prior year. For the third quarter, Cerebras guided to core revenue of $214 million to $216 million. The company raised its full-year 2026 core revenue guidance to $880 million to $890 million.

Yahoo Finance
Aug 11th, 2026
Cerebras expects $194M Q2 revenue with 88% growth as AI inference expands but margins fall to 36-38%

Cerebras Systems is set to report second-quarter earnings after market close on 12 August. The AI chipmaker expects core revenue of approximately $194 million, marking 88% year-over-year growth but only slightly above first-quarter's $193.4 million. Analysts forecast a loss of about 17 cents per share. Growth is expected from Cerebras' cloud and inference business, particularly capacity tied to OpenAI and expansion through AWS. However, margins remain a concern. The company projects second-quarter core gross margin of 36% to 38%, down from 47% in the first quarter, partly due to temporarily using customer-owned systems before its own infrastructure launches. Cerebras faces competition from Nvidia, Advanced Micro Devices and Broadcom for AI infrastructure spending.

CNBC
Jul 23rd, 2026
Cerebras stock rises 4% on AMD partnership for ultra-low latency AI systems

Cerebras shares rose about 4% on Thursday after announcing a partnership with Advanced Micro Devices for AI systems. Cerebras CEO Andrew Feldman said at AMD's San Francisco AI conference that his company's chips will be used in AMD's Helios AI systems, to be installed in Cerebras data centres later this year. The partnership focuses on "ultra-low latency" technology, with the companies claiming their system provides five times higher tokens per second per watt than competitors. Chips like Cerebras's are designed to deliver AI answers quickly whilst making trade-offs in flexibility and power. Cerebras went public in May at $185 per share. The stock has been volatile, reaching $386.34 before falling below $161 in late June. Following Thursday's gain, shares traded at $219.80.

Associated Press
Jul 22nd, 2026
CrowdStrike partners with Cerebras to power real-time AI threat detection using world's fastest inference

CrowdStrike and Cerebras Systems announced a strategic partnership combining AI-native cybersecurity with high-speed AI inference. CrowdStrike will use Cerebras's inference technology to power its Falcon AI Detection and Response platform, whilst Cerebras will deploy CrowdStrike's Falcon platform to secure its operations. The collaboration addresses AI-accelerated cyber threats that require real-time detection and response. According to Cerebras CISO Naor Penso, inference speed is critical in cybersecurity, as delays can determine whether AI prevents an attack or merely explains it afterwards. CrowdStrike's Daniel Bernard emphasised the partnership's strategic importance, noting that leading AI infrastructure companies are choosing CrowdStrike for protection. The partnership extends CrowdStrike's leadership in AI Detection and Response whilst bringing Cerebras's inference capabilities to enterprise security applications.