Top Tech Jobs & Startup Jobs

Develops, optimizes, and maintains SMT manufacturing processes; troubleshoots production issues through root cause analysis; improves efficiency, yield, and quality; conducts SPC and Cpk studies; supports NPI and cross-functional collaboration; maintains SOPs and work instructions; and trains SMT operators and technicians.

Lead Bitdeer’s end-to-end, multi-state payroll operations, including ADP administration, payroll tax compliance, reconciliations, reporting, audits, and year-end processing. Partner with HR, Finance, and Accounting on employee changes and compensation events, maintain payroll controls and documentation, resolve complex payroll issues, and lead and mentor the payroll team.

Leads product strategy, portfolio, commercialization, and organizational development for a global AI cloud infrastructure platform. Oversees GPU compute, bare metal, containers, networking, storage, AI training and inference capabilities. Owns roadmap, pricing, packaging, metering, SLAs, revenue, margins, utilization, and customer adoption. Partners across engineering, infrastructure, operations, sales, and solutions while building a high-performing product organization.

Build, operate, and optimize Linux compute and storage infrastructure for an engineering lab. Responsibilities include system administration, Shell automation, provisioning, configuration management, storage management, monitoring, resource scheduling, troubleshooting, networking, security controls, performance optimization, and documentation. The role supports high availability and reliable performance across Linux workloads.

Manage and strategize patents, collaborate with R&D on innovations, handle IP disputes, and drive compliance and training efforts.

Design, deploy, and operate production Kubernetes control planes for large GPU clusters. Implement GPU-specific scheduling, CRDs, multi-tenant isolation, BMaaS provisioning, Terraform-based IaC, monitoring, SLI/SLOs, and automated remediation workflows to enable autonomous AIOps-driven recovery and tenant self-service.

Build and maintain SRE microservices supporting a global GPU infrastructure platform. Implement GitOps, declarative configuration, and CI/CD automation; monitor metrics, logs, and traces; support operational readiness through on-call participation, runbooks, and incident reviews; and write unit, integration, and end-to-end tests. Work with senior engineers to deliver production-ready platform features while maintaining service reliability and infrastructure consistency.

Designs and operates multi-tenant SDN, VPC overlays, and high-performance InfiniBand or RoCE GPU network fabrics. Responsibilities include tenant isolation, cross-region routing, congestion control, network automation, change management, fault localization, architecture standards, security boundaries, and observability for a large-scale multi-region GPU cloud.

Architect and scale high-cardinality observability and telemetry infrastructure for AI cloud platforms. Build Kubernetes exporters, eBPF diagnostics, hardware and network monitoring, dashboards, alerting, and GPU/network utilization billing pipelines. Establish telemetry standards for AI workloads, support proactive remediation, collaborate with GPU and scheduling teams, lead architecture reviews, and mentor engineers. The role requires expertise in Go, Kubernetes, Prometheus/OpenTelemetry, Linux performance tuning, eBPF, AI hardware metrics, and large-scale cloud or HPC telemetry systems.

Design and build distributed systems for AI workloads, improve reliability and efficiency, and develop infrastructure automation tools.