Field Application Engineer, AI Cloud
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. Bitdeer Technologies Group scores B on the Alion truth index.
About Bitdeer:
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
We are seeking
We are seeking an experienced Field Application Engineer to lead technical due diligence on data centers for AI and GPU infrastructure deployment. This role is responsible for assessing site readiness, validating usable power and cooling capacity, quantifying gaps and remediation needs, and delivering clear go or no-go recommendations that move qualified sites to deployment. The ideal candidate is a hands-on, detail-driven engineer and clear communicator who thrives in a fast-growing, dynamic environment.
This is a full-time role based in San Jose, CA, with regular travel for on-site assessments and deployment support.
What you will be responsible for
- Lead remote reviews and on-site inspections of data centers to determine whether they can support target GPU cluster configurations, capacity, and deployment schedules.
- Validate operator claims against drawings, equipment specifications, operating records, utility documentation, and commissioning evidence.
- Distinguish utility supply, total facility load, and usable IT capacity, and assess available and committed capacity, rack density, and expansion constraints.
- Evaluate power distribution, UPS, backup generation, and redundancy against the needs of high-density AI workloads.
- Assess air cooling and direct-to-chip liquid cooling, including heat rejection, cooling distribution units (CDUs), facility water conditions, flow and temperature, piping, and leak detection.
- Review rack space, floor loading, delivery access, cabling, carrier diversity, fiber routes, bandwidth, and latency, and partner with network engineering on Ethernet and InfiniBand cluster designs.
- Review monitoring, maintenance, incident response, remote hands, physical security, and commissioning and acceptance records to identify operational and resilience gaps.
- Classify sites as ready for deployment, requiring defined upgrades, or requiring substantial development.
- Produce decision-ready assessments documenting achievable IT capacity, rack count, dependencies, cost estimates, schedule risks, and a go or no-go recommendation.
- Resolve technical questions with operators, landlords, utilities, equipment vendors, and contractors.
- Define remediation and acceptance criteria, verify closure of critical issues, and hand development work to the appropriate team.
- Partner with AI ecosystem, cloud infrastructure, procurement, and engineering teams to build a consistent assessment process and a prioritized pipeline of qualified sites.
How you will stand out
- 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 and 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.
What you will experience working with us
- A culture that values authenticity and diverse perspectives.
- An inclusive, respectful environment with open workspaces and an energetic, start-up spirit.
- A fast-growing company with opportunities to network with industry pioneers and enthusiasts.
- The ability to contribute directly and make an impact on the future of the digital asset and AI computing industry.
- Involvement in new projects and in developing processes/systems.
- Personal accountability, autonomy, rapid growth, and learning opportunities.
- Attractive benefits and development such as training and mentoring.
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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.