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Lead Data Center Systems Architect/Engineer (Mechanical & Infrastructure) – AI Infrastructure & Data Center
Denvrdata · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Denvrdata |
| Title | Lead Data Center Systems Architect/Engineer (Mechanical & Infrastructure) – AI Infrastructure & Data Center |
| Normalized title | - |
| Department / team | Data Center Infrastructure |
| Location | - |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-06 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Denvrdata. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data Center Infrastructure. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Denvrdata |
| Source | aac765ca-046a-4199-8b01-ee1a35faeff8 |
| ATS provider | BambooHR |
Description
About Us
Denvr is a vertically integrated AI Platform Services company with headquarters in Calgary, Canada. We provide foundational compute infrastructure and services to support the broader AI ecosystem and its end users. The platform includes cloud-native solutions for training, inference, high-performance computing, data processing, scalable storage, and a suite of software toolsets that accelerate the development, deployment, and integration of AI applications.
These capabilities are accessible via the public Denvr AI Cloud or through Private AI Platform Services , which offer fully dedicated, sovereign environments with enhanced security. Private deployments incorporate advanced data centers, optimized compute architectures, high-throughput storage fabrics, and tightly integrated platform operations software—engineered to meet the demands of large-scale, mission-critical AI workloads.
We design proprietary AI Data Centers powered by our ultra-efficient, modular data centers built for hyper-scale AI deployments.
At Denvr, we’re driven to create exceptional customer experiences that empower AI innovators, entrepreneurs, and enterprises to achieve real results. Our mission is to help unlock breakthroughs that transform industries, enhance creativity, and shape a better future.
Why Join Us
Joining Denvr means being part of a world-class team in the fast-moving field of AI and high-performance computing. We value curiosity, collaboration, and continuous learning. Our people are proactive problem solvers who take pride in delivering great results, thrive in open and transparent environments, and enjoy learning by doing.
If you’re forward-thinking, motivated by innovation, and excited to help drive a rapidly growing business, Denvr is the place to make an impact—and grow your career alongside exceptional teammates.
The Mission
Denvr isn’t building traditional data centers; we are manufacturing the future of AI infrastructure. We are seeking a Lead Systems Architect (Mechanical) who can bridge the gap between high-density thermodynamics and modular manufacturing. You will be responsible for the end-to-end lifecycle of our modular sites, from designing modular data centers to managing the manufacturing supply chain and ensuring the compute/network stack is seamlessly integrated.
What You’ll Do
Tri-Hybrid Cooling Architecture: Aid the design team and manufacturing partners to optimize site-specific infrastructure across the entire thermal spectrum: Liquid Immersion, Direct-to-Chip (DTC), and High-Efficiency Air Cooling.
Architect High-Density Sites: Design mechanical systems specifically tailored for NVIDIA GPU clusters (H100/H200/B300), ensuring the physical infrastructure can handle the massive thermal loads of generative AI.
Drive Modular Innovation: Lead the design and fabrication of "plug-and-play" modular data center units, working directly with manufacturing partners to ensure precision and scalability.
Coordinate Supply Chains: Act as the technical lead for vendor management, ensuring long-lead mechanical components (CDUs, manifolds, and heat exchangers) align with deployment timelines.
Integrate Compute & Network: Collaborate with IT teams to ensure physical infrastructure supports complex network topologies and high-speed fiber requirements.
Lead Commissioning: Oversee Level 4 and Level 5 commissioning to ensure that cooling, power, and compute are perfectly synchronized under full load.
Who You Are
A Multi-Disciplinary Expert: You hold a degree in Mechanical Engineering (PEng) and have 7+ years of experience in data center or industrial modular design.
Cooling Specialist: You have hands-on experience with the deployment of Liquid Immersion tanks and Direct-to-Chip secondary loops, balanced with a deep understanding of traditional Air-Cooled psychrometrics and economization.
Supply Chain Fluent: You understand Design for Manufacturing (DFM) and have experience working with modular fabrication plants or MEP skids.
Systems Thinker: You don't stop at the cooling loop; you understand how rack-level switching, fiber management, and high-density power draws impact the total system architecture.
Adaptable: You are comfortable traveling to manufacturing sites and project locations to ensure design intent becomes a reality.
Technical Toolkit
Cooling Tech: Expert-level knowledge of CDUs (Coolant Distribution Units), dielectric fluids, and manifold design.
Design: Proficiency in AutoCAD, Revit, SolidWorks, and CFD software (e.g., 6SigmaET or FutureFacilities).
Infrastructure: Deep understanding of PUE optimization across different cooling modalities.
Compute: Familiarity with Layer 1-3 networking and high-density server deployments.
What We Offer
Impact: The opportunity to lead the physical deployment of a sovereign AI platform.
Compensation: Highly competitive base salary, performance bonuses, and equity.
Growth: A leadership seat in a fast-scaling organization where infrastructure is the core product.
If you are passionate about technology, system design and innovative technical solutions, and want to be part of a remote-first forward-thinking company, Denvr would love to hear from you.
Click on the link to apply!
Full job record
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| Source ID | aac765ca-046a-4199-8b01-ee1a35faeff8 |
| Board ID | aac765ca-046a-4199-8b01-ee1a35faeff8 |
| Provider | bamboohr |
| Provider Job Key | 51 |
| Title | Lead Data Center Systems Architect/Engineer (Mechanical & Infrastructure) – AI Infrastructure & Data Center |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | Data Center Infrastructure |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | — |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://denvrdata.bamboohr.com/careers/51 |
| Apply URL | https://denvrdata.bamboohr.com/careers/51 |
| First Seen At | 2026-05-30 06:02:56Z |
| Last Seen At | 2026-06-06 10:32:32Z |
| Last Checked At | 2026-06-06 10:32:32Z |
| Last Changed At | 2026-05-30 06:02:56Z |
| Inactive At | — |
| Source Posted At | 2026-05-06 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=denvrdata/date=2026-06-06/2026-06-06T10-32-31-453Z-c04ebd9256fb72edeaa8006a8ec987d16544a41e68f72c4c98b5c097656cdae0.json |
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"description": "<p><span style=\"font-size: 12pt; font-weight: bold\">About Us</span></p>\n<p><span style=\"font-size: 10pt\">Denvr is a vertically integrated <span style=\"font-weight: bold\">AI Platform Services</span> company with headquarters in Calgary, Canada. We provide foundational compute infrastructure and services to support the broader AI ecosystem and its end users. The platform includes cloud-native solutions for training, inference, high-performance computing, data processing, scalable storage, and a suite of software toolsets that accelerate the development, deployment, and integration of AI applications.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 10pt\">These capabilities are accessible via the public <span style=\"font-weight: bold\">Denvr AI Cloud</span> or through <span style=\"font-weight: bold\">Private AI Platform Services</span>, which offer fully dedicated, sovereign environments with enhanced security. 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Our mission is to help unlock breakthroughs that transform industries, enhance creativity, and shape a better future.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Why Join Us</span></p>\n<p><span style=\"font-size: 10pt\">Joining Denvr means being part of a world-class team in the fast-moving field of AI and high-performance computing. We value curiosity, collaboration, and continuous learning. Our people are proactive problem solvers who take pride in delivering great results, thrive in open and transparent environments, and enjoy learning by doing.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 10pt\">If you’re forward-thinking, motivated by innovation, and excited to help drive a rapidly growing business, Denvr is the place to make an impact—and grow your career alongside exceptional teammates.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">The Mission</span><br></p>\n<p><span style=\"font-size: 10pt\">Denvr isn’t building traditional data centers; we are manufacturing the future of AI infrastructure. We are seeking a <span style=\"font-weight: bold\">Lead Systems Architect (Mechanical)</span> who can bridge the gap between high-density thermodynamics and modular manufacturing. You will be responsible for the end-to-end lifecycle of our modular sites, from designing modular data centers to managing the manufacturing supply chain and ensuring the compute/network stack is seamlessly integrated.</span></p>\n<p><span style=\"font-size: 10pt\"> </span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What You’ll Do</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Tri-Hybrid Cooling Architecture: </span>Aid the design team and manufacturing partners to optimize site-specific infrastructure across the entire thermal spectrum: Liquid Immersion, Direct-to-Chip (DTC), and High-Efficiency Air Cooling.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Architect High-Density Sites: </span>Design mechanical systems specifically tailored for NVIDIA GPU clusters (H100/H200/B300), ensuring the physical infrastructure can handle the massive thermal loads of generative AI.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Drive Modular Innovation: </span>Lead the design and fabrication of \"plug-and-play\" modular data center units, working directly with manufacturing partners to ensure precision and scalability.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Coordinate Supply Chains: </span>Act as the technical lead for vendor management, ensuring long-lead mechanical components (CDUs, manifolds, and heat exchangers) align with deployment timelines.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Integrate Compute & Network: </span>Collaborate with IT teams to ensure physical infrastructure supports complex network topologies and high-speed fiber requirements.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Lead Commissioning: </span>Oversee Level 4 and Level 5 commissioning to ensure that cooling, power, and compute are perfectly synchronized under full load.</span></li>\n</ul>\n<p><span style=\"font-size: 10pt\"> </span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Who You Are</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">A Multi-Disciplinary Expert: </span>You hold a degree in Mechanical Engineering (PEng) and have 7+ years of experience in data center or industrial modular design.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Cooling Specialist: </span>You have hands-on experience with the deployment of <span style=\"font-weight: bold\">Liquid Immersion</span> tanks and <span style=\"font-weight: bold\">Direct-to-Chip</span> secondary loops, balanced with a deep understanding of traditional <span style=\"font-weight: bold\">Air-Cooled</span> psychrometrics and economization.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Supply Chain Fluent: </span>You understand <span style=\"font-weight: bold\">Design for Manufacturing (DFM)</span> and have experience working with modular fabrication plants or MEP skids.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Systems Thinker: </span>You don't stop at the cooling loop; you understand how rack-level switching, fiber management, and high-density power draws impact the total system architecture.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Adaptable: </span>You are comfortable traveling to manufacturing sites and project locations to ensure design intent becomes a reality.</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Technical Toolkit</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Cooling Tech: </span>Expert-level knowledge of CDUs (Coolant Distribution Units), dielectric fluids, and manifold design.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Design: </span>Proficiency in AutoCAD, Revit, SolidWorks, and CFD software (e.g., 6SigmaET or FutureFacilities).</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Infrastructure: </span>Deep understanding of PUE optimization across different cooling modalities.</span></li>\n<li><span style=\"font-size: 10pt\"><span style=\"font-weight: bold\">Compute: </span>Familiarity with Layer 1-3 networking and high-density server deployments.</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt; 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