Vice President, Network Engineering – AI Data Centers

Bitdeer Technologies Group•Austin, TX

3d•Onsite

About The Position

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. We are seeking a hands-on Vice President of Network Engineering to lead network architecture, strategy, and execution for large-scale AI datacenter infrastructure. This role reports to the EVP of AI Datacenter Engineering in the United States and will serve as the company’s senior technical leader for AI networking, GPU cluster fabrics, hyperscale datacenter networking, and network reliability. This is a builder role in an early-stage, flat organization. The right person must be comfortable setting strategy, making architecture decisions, working directly with vendors, and personally driving technical execution without relying on a large team. The role is designed to align with a leader who has experience in AI network infrastructure, RDMA fabrics, GPU clusters, 400G/800G networks, hyperscale networking, network reliability, automation, and cost optimization.

Requirements

12+ years of experience in network engineering, datacenter networking, cloud networking, AI/HPC infrastructure, network reliability, or a related field.
Significant experience designing, deploying, or operating large-scale datacenter, cloud, hyperscale, HPC, GPU cluster, or mission-critical network environments.
Strong technical expertise in high-performance networking technologies, including Layer 2/Layer 3 architecture, routing protocols, redundancy, segmentation, telemetry, high-availability design, RDMA, RoCE, InfiniBand, spine-leaf fabrics, and 100G/400G/800G networking.
Experience with AI infrastructure platforms and ecosystems, including NVIDIA/Mellanox, AMD GPU platforms, Ultra Ethernet, Ethernet-based AI fabrics, or comparable technologies.
Proven ability to serve as both an executive-level technical leader and a hands-on architect who can lead design reviews, troubleshoot complex issues, guide implementation planning, and ensure operational readiness.
Experience working directly with senior stakeholders, vendors, OEMs, carriers, integrators, and suppliers to evaluate technologies, influence strategy, and support commercial decisions.
Demonstrated ability to improve performance, scalability, reliability, and cost efficiency through architecture, automation, vendor strategy, operational discipline, and lifecycle planning.
Experience building network standards, operating models, automation practices, observability, configuration compliance, source-of-truth processes, and teams from the ground up.
Experience supporting new datacenter builds, retrofits, cloud migrations, or large-scale network transformation programs.
Comfortable working in a flat, fast-moving organization where senior leaders are expected to personally drive execution.
Bachelor’s degree in Computer Science, Electrical Engineering, Network Engineering, Information Systems, or equivalent practical experience.

Responsibilities

Lead network architecture for AI datacenter environments, including GPU cluster fabrics, storage networks, management networks, and customer connectivity.
Design scalable, high-performance network fabrics using technologies such as RDMA, RoCE, InfiniBand, Ethernet AI fabrics, BGP, EVPN/VXLAN, IPv6, and 400G/800G networking.
Evaluate network architecture options for NVIDIA, AMD, and other accelerated compute platforms.
Partner with datacenter engineering, facilities, compute, storage, security, procurement, and operations teams to ensure network designs are practical, scalable, and operationally supportable.
Lead technical evaluation of network vendors, OEMs, integrators, carriers, optics providers, and automation platforms.
Provide technical input into RFPs, vendor selection, equipment standards, bills of material, and commercial decisions.
Establish network reliability practices, including incident management, problem management, change management, monitoring, capacity planning, and operational readiness.
Create network standards, diagrams, design templates, deployment plans, runbooks, and documentation.
Identify opportunities to reduce CAPEX and OPEX through topology design, vendor strategy, hardware utilization, automation, and lifecycle planning.
Help build the future network engineering function, including hiring plans, team structure, tools, standards, and operating model.