Full-Time
Mechanical Engineer
Cerebras
501-1,000 employees
AI accelerator hardware replacing GPUs
No salary listed
Sunnyvale, CA, USA
In Person
Bachelor's
 Mechanical Engineering (1) |
|---|
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- 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.
- 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.
- 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's Take
What believers are saying
- Q2 2026 core revenue reached $209.9 million, up 103% year over year.
- Core cloud revenue grew 287% to $127.7 million in Q2 2026.
- CS-4 launch broadens inference shipments beginning this quarter, targeting latency-sensitive enterprise demand.
What critics are saying
- Hardware revenue fell 23% to $54.1 million, exposing dependence on cloud mix.
- Nvidia and AMD are attacking inference with cheaper GPUs and split-architecture offerings.
- If OpenAI or one hyperscaler rebuys elsewhere, Cerebras' backlog evaporates fast.
What makes Cerebras unique
- CS-4 uses wafer-scale chips and direct wafer links for low-latency inference.
- OpenAI GPT-5.6 Sol runs up to 14x faster on Cerebras hardware.
- Cerebras owns 600 megawatts of contracted data-center capacity through 2027.
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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
6 month growth
↓ -2%1 year growth
↓ -4%2 year growth
↑ 0%Cerebras Systems reported second-quarter core revenue of $209.9 million, up 103% year-on-year and exceeding guidance of approximately $194 million. However, GAAP revenue of $180.1 million fell short of the $194.23 million consensus. The quarter revealed a sharp revenue mix shift. Cloud and other services revenue roughly quadrupled to $126 million, whilst GAAP hardware revenue declined 23% to $54.1 million. Core hardware revenue rose 17% year-on-year to $82.1 million but dropped 26% sequentially from $111.6 million. Shares fell 11.9% to $231.01 following the report. The company raised its 2026 core revenue forecast to $880–890 million from $855–865 million and reported $25.4 billion in remaining performance obligations, supported by a multiyear OpenAI agreement.
Cerebras unveiled its fourth-generation CS-4 AI system, claiming inference speeds exceeding 4,400 tokens per second per user on GPT-OSS-120B — up to 30 times faster than GPU-based solutions. The CS-4 delivers 750 PFLOPS of AI compute and 7.2 Tbps of I/O, with 10 times more throughput per watt than the previous CS-3. The company reported second-quarter 2026 core cloud and services revenues of $127.7 million, up 287% year over year. Total core revenues rose 103% to $209.9 million. Cerebras disclosed $25.4 billion in remaining performance obligations and over 600 megawatts of data-centre capacity under contract for delivery by end of 2027. The company faces competition from NVIDIA, which reported $75.2 billion in first-quarter fiscal 2027 data-centre revenues, and AMD's Helios platform.
Cerebras Systems unveiled its CS-4 server rack for AI inference on 18 August in San Francisco. The Sunnyvale, California-based chipmaker said the system uses three WSE-3 Turbo chips and new networking components. CS-4 is the first product based on Cerebras' Nexus architecture, a modular design for compute, power, and input/output. The system features programmable input/output and direct wafer links to connect wafers within and across racks with lower latency. The chips are manufactured using TSMC's 5-nanometre process. The launch follows Cerebras reporting an adjusted loss of $6.9 million on sales of $180.1 million last week. The system will be available in the third quarter. Cerebras competes with Nvidia in inference hardware for workloads such as chatbot response generation.
Cerebras Systems has launched its CS-4 AI system, promising up to twice the token-generation speed of its predecessor, six times higher system-level performance, and up to 10 times more tokens per watt in certain applications. The company announced partnerships with OpenAI and AMD to enhance inference capabilities. The AMD collaboration features a split architecture where GPUs handle model prefill whilst Cerebras manages token decoding. Cerebras is expanding its data-centre capacity, with 600 megawatts of power expected online or under contract by the end of next year. The company is targeting AI-agent, design, coding, and cybersecurity applications that benefit from lower latency. CEO Andrew Feldman emphasised that inference speed has become a product-level consideration. Cerebras hardware powers OpenAI's GPT-5.6 Sol Ultrafast mode, which runs models at up to 14 times standard speed.
Cerebras Systems has launched the CS-4, its latest AI accelerator, delivering up to 30 times faster performance than GPU-based solutions. The rack-scale system incorporates three Wafer Scale Engine 3 Turbo processors and offers 750 petaflops of AI compute. The CS-4 provides up to twice the speed of its predecessor whilst delivering 10 times more throughput per watt. On GPT-OSS-120B, the system achieved over 4,400 tokens per second per user in testing. Built on the new Cerebras Nexus Platform Architecture, the CS-4 features a modular "backpack" design that reduces deployment time from days to hours. The system supports models exceeding 50 trillion parameters with wafer-to-wafer latency as low as two microseconds. First shipments begin this quarter. Cerebras Systems trades on NASDAQ under the ticker CBRS.