Field Application Engineer, AI Cloud

Bitdeer Group

. Lead remote reviews and on-site inspections of data centers for GPU cluster deployment readiness .

Posted 11/4/2026full-timeSan Jose • California • United StatesMid-LevelSenior💰 $140,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data center engineering and infrastructure solutions, with a strong focus on assessing deployment readiness, identifying technical issues, and producing comprehensive site assessments. Proficient in evaluating electrical and mechanical systems, high-density GPU requirements, and effective communication with stakeholders.

Highest-signal resume keywords

Data Center EngineeringElectrical And Mechanical InfrastructureSite Assessment ReportingHigh-Density GPU SystemsCommissioning And Capacity Planning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Center AssessmentPower DistributionCooling Systems EvaluationElectrical Single-Line DiagramsMechanical SchematicsCommissioning ReportsCapacity PlanningRemediation Scope EstimationTechnical Issue ResolutionHigh-Speed Networking

Soft Skills

Professional English CommunicationStakeholder EngagementProblem-Solving

Industry Keywords

GPU CloudColocationHyperscale FacilitiesAI WorkloadsPower Usage Effectiveness (PUE)Total Cost Of Ownership (TCO)Integrated Systems TestingUtility TariffsService-Level Commitments

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead remote reviews and on-site inspections of data centers for GPU cluster deployment readiness
Validate operator claims against drawings, equipment specifications, operating records, utility documentation, and commissioning evidence
Assess utility supply, facility load, usable IT capacity, rack density, and expansion constraints
Evaluate power distribution, UPS, backup generation, and redundancy for high-density AI workloads
Assess air cooling and direct-to-chip liquid cooling systems, including CDUs, facility water conditions, piping, and leak detection
Review rack space, floor loading, delivery access, cabling, carrier diversity, fiber routes, bandwidth, and latency
Partner with network engineering on Ethernet and InfiniBand cluster designs
Review monitoring, maintenance, incident response, remote hands, physical security, commissioning, and acceptance records
Classify sites by deployment readiness and identify operational and resilience gaps
Produce site assessments documenting achievable IT capacity, rack count, dependencies, cost estimates, schedule risks, and go/no-go recommendations
Resolve technical questions with operators, landlords, utilities, vendors, and contractors
Define remediation and acceptance criteria, verify critical issue closure, and hand development work to the appropriate team
Partner with AI ecosystem, cloud infrastructure, procurement, and engineering teams to build assessment processes and a qualified-site pipeline

Requirements

What you’ll need

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related discipline, or equivalent practical experience
5+ years of experience in data center engineering, critical facilities, infrastructure solutions engineering, commissioning, or field applications engineering
Hands-on experience assessing or delivering data centers, with a track record of identifying deployment blockers and driving technical issues to resolution
Strong working knowledge of electrical and mechanical infrastructure, including power distribution, backup systems, cooling, and the relationship between facility capacity and usable IT load
Ability to read electrical single-line diagrams, mechanical schematics, equipment data sheets, rack layouts, and commissioning reports
Understanding of AI or HPC infrastructure requirements, including high-density GPU systems, liquid cooling, and high-speed networking
Ability to write clear site assessment reports, compare options, estimate remediation scope, and explain technical risks and tradeoffs to business stakeholders
Strong professional English communication skills
Willingness to travel for site assessments and deployment support
Preferred: experience with GPU cloud, colocation, hyperscale, or HPC facilities, including high-density or liquid-cooled deployments
Preferred: experience with facility commissioning, integrated systems testing, capacity planning, or converting existing facilities for AI workloads
Preferred: familiarity with colocation agreements, service-level commitments, utility tariffs, power usage effectiveness (PUE), and total cost of ownership (TCO)
Preferred: experience coordinating equipment vendors, data center operators, and engineering contractors across regions

Benefits

Comp & perks

A culture that values authenticity and diverse perspectives
Inclusive, respectful environment
Opportunities to network with industry pioneers and enthusiasts
Ability to contribute directly and make an impact on the digital asset and AI computing industry
Involvement in new projects and developing processes/systems
Personal accountability, autonomy, rapid growth, and learning opportunities
Training and mentoring
Attractive benefits and development opportunities