Bitdeer is hiring a Senior GPU Systems & Fabric Engineer in AI Cloud — San Jose, US. The overview below is synthesized from the employer posting on bitdeer.breezy.hr: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
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.
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/
Position Overview
The listing frames the Senior GPU Systems & Fabric Engineer at Bitdeer as a hands-on product role. You will be responsible for creating the high-performance 'hardware foundation' that makes AI-native cloud computing possible. This role requires deep expertise in Linux kernel internals, GPU architectures, and high-speed interconnects, as you will be tasked with transforming raw, bare-metal compute resources into scalable, resilient, and multi-tenant cloud primitives. You will drive the design of
Key Responsibilities
Day-to-day scope for the Senior GPU Systems & Fabric Engineer as described in the posting:
- 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.
Qualifications
Experience and skills the team lists as required:
- 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
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.