Jobs at Bitdeer Group

Leads financing strategy and execution for GPU purchases, AI infrastructure, and data-center expansion across the Americas. Responsibilities include structuring and negotiating debt, leases, project financing, private credit, and other capital solutions; managing capital-provider relationships; owning transaction modeling, diligence, documentation, and closing; developing scenario analyses; presenting recommendations to executives and the Board; establishing controls; and coaching a financial analyst.

Own budgets, forecasts, financial models, variance analysis, project spending reviews, and cash flow projections for U.S. operations and infrastructure projects. Partner with business, engineering, procurement, treasury, and global finance teams to evaluate investments, improve forecasting, support executive reporting, and implement planning systems. Analyze project economics, capital expenditures, liquidity, and scenario impacts while strengthening financial controls, data quality, and planning processes.

Lead development and optimization of advanced low-power analog and mixed-signal circuits, including PLLs, power management units, and power-clocking architectures. Oversee standard cell library characterization, layout quality, parasitic and leakage reduction, and high-sigma OCV verification using industry EDA tools. Provide architectural guidance, technical leadership, mentorship, and innovation for high-performance designs in advanced process nodes.

Supports financing and fundraising for GPU computing and data-center infrastructure. Responsibilities include building financial and debt-service models, evaluating capital structures, preparing transaction materials, supporting lender and financing execution, tracking covenants and milestones, conducting market research, and collaborating with finance, legal, treasury, tax, accounting, operations, and external financing partners.

Own the product experience and roadmap for Bitdeer’s AI Cloud platform, including its console, APIs, customer onboarding, resource deployment, usage, billing, access control, and operational capabilities. Partner with compute, storage, networking, engineering, infrastructure, sales, and support teams to deliver a unified, scalable cloud experience. Engage customers and developers, translate feedback into solutions, and drive self-service automation and full product lifecycle execution.

Supports the Finance department with business travel, visa applications, calendar management, team events, expense tracking, reimbursements, light finance administration, filing, and ad hoc requests. The role requires strong organization, discretion, communication, and the ability to manage competing priorities and last-minute changes. Candidates should have at least two years of relevant administrative or executive support experience and be comfortable using Google Workspace and Microsoft Excel.

Supports financing and fundraising for GPU computing and data-center infrastructure projects. Builds financial, cash-flow, debt-service, and return models; evaluates loans, leases, asset-backed facilities, project finance, and private-credit solutions; prepares lender and executive materials; supports diligence, documentation, closing, funding, and post-close monitoring. Tracks capital expenditures, liquidity, covenants, and financing milestones while partnering with Finance, Treasury, Legal, Tax, Accounting, Operations, and Procurement. Conducts market research and develops scenario analyses for GPU deployment, utilization, power capacity, revenue, costs, and liquidity.

Own developer documentation for Bitdeer AI’s MaaS platform, including OpenAPI-driven API references, onboarding guides, runnable code samples, release notes, and changelogs. Verify documentation against service behavior, maintain a docs-as-code pipeline, organize technical information, gather details from engineering and product teams, and use developer feedback to improve documentation and API usability.

Own usage-to-invoice reconciliation for an AI Model-as-a-Service platform. Investigate billing discrepancies, maintain consumption-based pricing models, calculate GPU outage service credits, monitor billing data quality, build anomaly checks, and support customer billing disputes. The role partners with engineering, finance, data, and customer-facing teams while using SQL, billing platforms, spreadsheets, and Python to improve billing accuracy and reliability.

Characterize production inference traffic, validate benchmarking harnesses against live workloads, and develop capacity forecasts and GPU cost models. Define canonical latency, throughput, and utilization metrics, maintain performance dashboards, and provide trustworthy reporting for engineering, product, leadership, and finance. The role requires analyzing token distributions, concurrency, burstiness, GPU utilization, and unit economics across LLM and embedding workloads while partnering with infrastructure and serving teams.

Own billing accuracy for a usage-based GPU cloud by designing pricing models, analyzing Kubernetes usage, reconciling metered consumption to invoices, administering GPU-fault credits, and maintaining auditable billing processes. Partner with finance, product, engineering, and infrastructure teams to define metering requirements, validate billing outputs, support product launches, investigate discrepancies, and establish controls for pricing, invoicing, month-end close, and customer credits.

Build and own Bitdeer’s Terraform provider, CLI, and SDKs for provisioning GPU clusters and Kubernetes workloads. Responsibilities include provider architecture, state and drift management, CLI workflows, generated and hand-written SDK layers, API contract collaboration, versioning, compatibility, release pipelines, acceptance testing, documentation, and adoption telemetry. The role requires adapting to an evolving control-plane API while maintaining reliable developer-facing infrastructure-as-code products.

Own technical documentation for an AI Cloud Kubernetes platform, including API, SDK, CLI, Terraform, onboarding, and release documentation. Validate examples against source code and live environments, maintain a docs-as-code pipeline, and publish documentation with product releases. Analyze support-ticket trends to identify documentation gaps, communicate breaking changes and migrations, and partner closely with engineering and product teams to ensure new interfaces are documented and self-service workflows are effective.

Own end-to-end R&D delivery for a multi-region, 10,000+ GPU cloud platform. Responsibilities include integrated planning, scheduling, milestone and critical-path tracking, dependency and risk management, delivery-process improvement, program rituals, leadership reporting, escalation, and coordinating regional rollouts with engineering teams.

Build and operate provider adapters connecting an AI Model-as-a-Service platform with third-party inference providers. Normalize APIs, streaming, capabilities, errors, authentication, and rate limits; implement cost controls, circuit breakers, monitoring, contract tests, and failover. Reconcile provider invoices with usage telemetry, evaluate new vendors, and diagnose upstream reliability issues using observability tools. The role requires backend engineering experience, production API integration expertise, LLM provider knowledge, and usage-billing monitoring experience.

Develop large-scale AI cloud and infrastructure platforms across cloud services, Kubernetes, distributed training, model serving, AI agents, MLOps, security, and high-performance systems. New graduates may work in cloud platform engineering, SRE, AI operations, model serving, AI application engineering, security engineering, or AI research, with opportunities to rotate across areas.

Manage financial reporting, monthly close, audits, SEC filings, accounting research, internal controls, and reporting processes. Prepare financial statements, management reports, accounting memoranda, policies, and supporting documentation while ensuring compliance with IFRS, US GAAP, and applicable reporting requirements. Coordinate with auditors and internal teams, analyze operating results, and improve financial reporting processes.

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.

Own the full B2B sales cycle for regional Model-as-a-Service opportunities, from qualified handoff through pricing, negotiation, contracting, and signature. Responsibilities include managing quota, self-sourcing opportunities, forecasting pipeline in CRM, coordinating with Legal, Commercial, and Solutions Engineering, and refining commercial guardrails. The role targets candidates with 5–8 years of quota-carrying sales experience, preferably in cloud infrastructure, SaaS, AI/ML, or usage-based cloud offerings.

Coordinate inbound and outbound shipments of GPUs, semiconductors, electronics, and equipment into Malaysia. Manage import/export documentation, customs clearance, freight forwarders, brokers, delivery schedules, compliance, payment validation, and issue resolution. Monitor shipment performance, support urgent deliveries and new product introductions, maintain logistics procedures, and improve clearance and delivery processes while collaborating with procurement, finance, warehouse, manufacturing, engineering, suppliers, and government agencies.