Staff AI Observability & Telemetry Engineer

Bitdeer; San Jose, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Bitdeer in San Jose and Austin seeks a Staff AI Observability & Telemetry Engineer to architect the nervous system of our AI-native NeoCloud platform. You will capture, store, and make sense of millions of hardware and software signals per second to support SREs and automated remediation.

You will integrate NVIDIA DCGM, IPMI/Redfish, and other telemetry into the Kubernetes stack, build eBPF tools, and develop dashboards and alerts for real-time hazard detection.

Qualifications

• 6+ years in software or site reliability engineering with Prometheus/OpenTelemetry.
• Strong Go expertise and experience building Kubernetes metric exporters and operators.
• Hands-on with kernel tracing tools (eBPF/BCC) and Linux performance tuning.
• Familiarity with AI hardware metrics and high-performance networking telemetry.
• Proven ability to scale telemetry stacks in HPC or cloud environments.
• Strong leadership and cross-functional collaboration skills.

Responsibilities

• Architect and scale high-cardinality telemetry using time-series DBs.
• Integrate NVIDIA DCGM and network telemetry into Kubernetes observability.
• Develop eBPF-based tools to trace GPU workloads and network bottlenecks.
• Build automated dashboards and alerting for proactive remediation.
• Design metric pipelines for real-time, multi-tenant GPU/network usage.
• Collaborate with GPU Systems and Scheduling to set observability standards.
• Lead design reviews and mentor team on telemetry collection and analysis.

Skills

Go programming

Prometheus

OpenTelemetry

Kubernetes

eBPF

Kernel tracing

GPU metrics

Linux performance tuning

Leadership

Technical communication

Education

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field

Tools

VictoriaMetrics

Thanos

Mimir

NVIDIA DCGM

IPMI/Redfish

eBPF tooling

Job description

Staff AI Observability & Telemetry Engineer

• Full-Time
• AI Cloud
• San Jose, CA / Austin, TX - Remote (within locations)
• Staff AI Observability & Telemetry Engineer

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 a Staff AI Observability & Telemetry Engineer to architect the "nervous system" of our AI-native NeoCloud platform. This role goes beyond standard monitoring; you are responsible for building the high-fidelity perception layer required to orchestrate massive-scale AI infrastructure. You will capture, store, and make sense of millions of hardware and software signals per second, enabling our SREs, automated remediation agents, and external customers to peer deep into the performance of their GPU workloads and the underlying network fabric. You will define the telemetry standards that drive our autonomous operations, ensuring we can detect, diagnose, and resolve hardware and software bottlenecks in real-time.

Key Responsibilities

• Architect and scale a high-cardinality telemetry infrastructure using highly available time-series databases (e.g., VictoriaMetrics, Thanos, or Mimir) capable of handling massive ingestion rates.
• Integrate complex hardware-level exporters (NVIDIA DCGM, network switch telemetry, IPMI/Redfish) directly into the Kubernetes observability stack to provide a unified view of the cluster.
• Build eBPF-based diagnostic tools to trace network congestion, kernel-level I/O latency, and distributed training bottlenecks across the cluster.
• Develop automated dashboards and alerting pipelines that trigger proactive cordoning of degraded hardware before it impacts customer training jobs.
• Design the metric pipelines required for accurate, multi-tenant consumption billing based on real-time GPU and network utilization metrics.
• Collaborate with the GPU Systems and Scheduling teams to create observability standards for "AI-native" workloads, ensuring deep insight into job efficiency and resource utilization.
• Lead technical design reviews for observability architecture, mentoring team members on best practices for high-performance telemetry collection and analysis.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 6+ years of software or site reliability engineering, with deep, hands‑on expertise in the Prometheus/OpenTelemetry ecosystem.
• Advanced proficiency in Go and extensive experience writing custom Kubernetes metric exporters and operators.
• Hands‑on experience with kernel-level tracing tools (eBPF, BCC) and deep performance tuning of Linux systems.
• Strong familiarity with AI hardware metrics (GPU power states, SM utilization, memory bandwidth) and high-performance network telemetry.
• Proven track record of operating, debugging, and scaling large-scale telemetry stacks in high-performance computing or cloud environments.
• Strong technical leadership skills; ability to influence architectural decisions and align cross‑functional teams around observability standards.
• Excellent communication skills, with the ability to translate complex system requirements into manageable engineering milestones.
• Experience working in high‑velocity, high‑growth engineering environments is strongly preferred.

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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.