Senior GPU Systems & Fabric Engineer

Posted 10 Hours Ago
Be an Early Applicant
Singapore, SGP
In-Office
Senior level
Software
The Role
Design, tune, and maintain GPU hardware and fabric integrations for containerized AI workloads. Optimize host networking (RDMA, SR-IOV, RoCEv2, InfiniBand), implement GPU slicing (MIG, vGPU), build DCGM-based remediation pipelines, profile kernel/driver/runtime (CUDA, NCCL), and collaborate with scheduling/storage teams. Lead investigations, enforce bare-metal provisioning and firmware/OS standards, mentor engineers, and document the AI hardware stack.
Summary Generated by Built In

About Bitdeer:

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

What you will be responsible for:

  • Architect and maintain integrations for NVIDIA/AMD GPU device plugins and Kubernetes Operators to expose hardware capabilities to the control plane.
  • Configure and optimize high-performance host networking stacks, including RDMA, SR-IOV, RoCEv2, and InfiniBand, ensuring line-rate throughput for distributed AI training.
  • Build and manage automated hardware remediation pipelines using DCGM telemetry to proactively identify, isolate, and reset degraded GPU/NIC components before they impact production jobs.
  • Implement and manage sophisticated GPU slicing technologies (MIG, vGPU) to enable efficient multi-tenant inference workloads and maximize cluster utilization.
  • Profile and tune kernel-level parameters, device drivers, and runtime libraries (CUDA, NCCL) to resolve bottlenecks and optimize containerized AI workloads.
  • Collaborate with the Scheduling and Storage engineering teams to ensure topology-aware placement and efficient data movement across the fabric.
  • Define and enforce operational standards for bare-metal provisioning, BIOS/firmware updates, and OS hardening within the containerized environment.
  • Lead technical investigations into complex performance issues spanning hardware, fabric, and software, providing actionable architectural insights.
  • Mentor team members and drive documentation standards for our evolving AI hardware stack.

How you will stand out:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
  • 5+ years of systems engineering experience, with strong proficiency in Linux kernel internals, C, or Go.
  • Hands-on experience with GPU architectures (NVIDIA H100/A100), CUDA runtimes, and distributed networking (RDMA, InfiniBand).
  • Deep understanding of containerized environments and Kubernetes device plugin architecture.
  • Proven track record of operating, debugging, and scaling bare-metal systems in large-scale production or HPC environments.
  • Familiarity with infrastructure automation (e.g., Terraform, Ansible, CI/CD pipelines) for managing hardware lifecycles.
  • Strong problem-solving skills, with the ability to navigate ambiguous performance challenges at the intersection of hardware and software.
  • Excellent communication skills, with a collaborative approach to working across infrastructure, scheduling, and reliability teams.
  • Experience working in high-velocity, high-growth engineering environments is strongly preferred.

What you will experience working with us:

  • A culture that values authenticity and diversity of thoughts and backgrounds;
  • An inclusive and respectable environment with open workspaces and exciting start-up spirit;
  • Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
  • Ability to contribute directly and make an impact on the future of the digital asset industry;
  • Involvement in new projects, developing processes/systems;
  • Personal accountability, autonomy, fast growth, and learning opportunities;
  • Attractive welfare benefits and developmental opportunities 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, colour, 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. 

#LI-ST1

Skills Required

  • 5+ years of systems engineering experience
  • Strong proficiency in Linux kernel internals
  • Proficiency in C or Go
  • Hands-on experience with NVIDIA/AMD GPU architectures (NVIDIA H100/A100) and CUDA runtimes
  • Experience with distributed networking technologies: RDMA, InfiniBand, SR-IOV, RoCEv2
  • Deep understanding of containerized environments and Kubernetes device plugin/operator architecture
  • Experience implementing GPU slicing technologies (MIG, vGPU)
  • Experience building automated hardware remediation pipelines using DCGM or similar telemetry
  • Proven track record operating, debugging, and scaling bare-metal systems in large-scale production or HPC environments
  • Familiarity with infrastructure automation tools (Terraform, Ansible) and CI/CD pipelines for hardware lifecycle management
  • Strong problem-solving and communication skills; ability to mentor team members and document systems
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
  • Experience working in high-velocity, high-growth engineering environments
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The Company
HQ: Singapore
214 Employees

What We Do

Bitdeer Technologies Group (Nasdaq: BTDR) is a leader in the blockchain and high-performance computing industry. It is one of the world’s largest holders of proprietary hash rate and suppliers of hash rate. Bitdeer is committed to providing comprehensive computing solutions for its customers. The company was founded by Jihan Wu, an early advocate and pioneer in cryptocurrency who cofounded multiple leading companies serving the blockchain economy. Mr. Wu leads the company as Founder, Chairman, and CEO. Linghui Kong serves as Bitdeer’s CBO and provides leadership through deep industry knowledge and technology expertise. Headquartered in Singapore, Bitdeer has deployed mining datacenters in the United States, Norway, and Bhutan. It offers specialized mining infrastructure, high-quality hash rate sharing products, and reliable hosting services to global users. The company also offers advanced cloud capabilities for customers with high demands for artificial intelligence. Dedication, authenticity, and trustworthiness are foundational to our mission of becoming the world’s most reliable provider of full-spectrum blockchain and high-performance computing solutions. We welcome global talent to join us in shaping the future

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