Bitdeer Group Logo

Bitdeer Group

AI Engineering – New College Graduate 2027

Posted 3 Days Ago
Be an Early Applicant
In-Office
San Jose, CA, USA
70K-130K Annually
Entry level
In-Office
San Jose, CA, USA
70K-130K Annually
Entry level
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.
The summary above was generated by AI

About Bitdeer AI:

Bitdeer AI, a full-stack AI cloud provider (AI Data Center, IaaS, PaaS, MaaS) under Bitdeer Technologies Group and a preferred NVIDIA Cloud Partner, is engineered to power the AI of tomorrow.

With the group’s 3 Gigawatts of power capacity deployed and under development globally, Bitdeer holds a decisive advantage in the AI era: the massive energy, physical infrastructure, and compute foundation required to run intelligence at global scale. Operating across strategic international hubs, including the United States, Singapore, and Europe, we build on one core promise: One Cloud, Infinite Possibilities.

Our Two Core Missions:

  • Transforming Hyperscale Power into Useful AI: We take the extreme complexity of gigawatt-scale energy grids, liquid-cooled data center topologies, and low-latency networking fabrics, and turn that raw physical power into accessible, high-performance AI Cloud that directly drives real-world intelligence.
  • Building an Integrated Full-Stack Cloud Platform: We engineer the complete software layer, spanning bare-metal provisioning, managed Kubernetes, distributed training pipelines, high-throughput AI Inference engines, and Model-as-a-Service (MaaS) with serverless APIs, empowering enterprises to seamlessly train, fine-tune, deploy, and serve next-generation AI intelligence.

We are seeking

2027 New College Graduates: Why Start Your Career at Bitdeer AI? We don’t just look at the infrastructure layer, we build across the entire value chain for our full-stack cloud. At Bitdeer AI, you will architect the actual backbone of global artificial intelligence. From foundation-level hardware orchestration and low-latency Inference systems to upper-layer MaaS platforms and AI Agents environments, you will solve high-scale systems challenges that few companies on Earth have the power capacity to attempt.

Your work will directly power the global AI ecosystem, from ambitious startups and elite research institutions to global enterprises.

Artificial intelligence is reshaping human potential, but the future of AI relies on real-world compute, reliable infrastructure and engineering, and massive power.

Don’t just witness the AI revolution. Power it. Join Bitdeer AI, and build the intelligence for infinite possibilities.

What you will be responsible for

We are looking for key talents to develop in the following areas:

  • Cloud Service Platform: Development of large-scale, highly available AI cloud services, including GPU virtual machines, bare-metal services, container services, cloud networking, storage, billing, monitoring, security, and multi-region resource management.
  • Kubernetes Service Platform: Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads.
  • AI Model Training and Inference Platform: Development of distributed training, model fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, model evaluation, and production-grade LLM and multimodal model-serving capabilities.
  • AI Agent Platform: Development of enterprise AI Agent platforms, including Agent building, workflow orchestration, tool integration, retrieval-augmented generation, memory systems, sandbox execution, multi-Agent collaboration, evaluation, observability, security, and large-scale Agent runtime infrastructure.
  • Advanced AI Systems: Development of GPU resource scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operation systems for large-scale AI infrastructure.

Career Opportunities within the Program:

  • Cloud Platform Engineering
  • AI Operations, MLOps & Site Reliability Engineering
  • MaaS, Model Serving & AI Training Infrastructure
  • AI Agent & Application Engineering
  • AI & Cloud Security Engineering
  • AI Research

Successful candidates will start in one of the above areas based on the interview assessment and business needs. Opportunities to rotate across different roles will also be provided as part of career development.

How you will stand out

  • Fresh graduates (Bachelors, Masters, PhD) from all disciplines and/or candidates with up to 2 years of related work experience.
  • Strong programming ability in one or more languages, including Go, Python, C++, Java, Rust, or related technologies.
  • Experience with Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, distributed storage, or other cloud-native technologies is highly preferred.
  • Experience in developing or operating large-scale cloud platforms, Kubernetes platforms, AI training platforms, inference platforms, or Agent platforms is highly preferred.
  • Deep enthusiasm for cutting-edge AI infrastructure, cloud-native technologies, and building large-scale, globally distributed systems.
  • Proven achievements in academics, engineering projects, top-tier publications, open-source contributions, or programming/algorithm competitions.
  • A strong ownership mentality, engineering discipline, and a commitment to creating a meaningful impact early in your career as we build the foundation for next-generation AI.

What you will experience working with us

  • A culture that values authenticity and diverse perspectives.
  • An inclusive, respectful environment with open workspaces and an energetic, start-up spirit.
  • A fast-growing company with opportunities to network with industry pioneers and enthusiasts.
  • The ability to contribute directly and make an impact on the future of the digital asset and AI computing industry.
  • Involvement in new projects and in developing processes/systems.
  • Personal accountability, autonomy, rapid growth, and learning opportunities.
  • Attractive benefits and development such as training and mentoring.

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.

Similar Jobs

Yesterday
Easy Apply
Hybrid
Santa Clara, CA, USA
Easy Apply
117K-168K Annually
Senior level
117K-168K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Executes full-cycle recruiting for technical roles, from sourcing and candidate engagement through offer negotiation and close. Partners with hiring managers to develop recruitment strategies, builds high-quality talent pipelines, champions inclusive hiring, and delivers a responsive candidate experience. The role focuses on technical searches across software engineering, cloud, cybersecurity, AI/ML, data science, and related fields while leveraging AI-enabled recruiting tools.
Top Skills: Ai ToolsAutomated Recruiting WorkflowsLinkedin RecruiterSeekoutTalent Intelligence Platforms
Yesterday
Easy Apply
Hybrid
Santa Clara, CA, USA
Easy Apply
117K-168K Annually
Entry level
117K-168K Annually
Entry level
Cloud • Information Technology • Security • Software • Cybersecurity
Build, deploy, govern, and improve AI agents for HR workflows using Gemini Agent Builder, Claude, Codex, and MCP integrations. Partner with HR subject matter experts to redesign processes, transfer technical capabilities, monitor adoption, diagnose failures, and drive stakeholder adoption. Collaborate with AI and engineering teams on integrations and governance. The role requires hands-on GenAI building experience, technical fluency, evaluation expertise, change management, and sensitivity to people-data risks.
Top Skills: ClaudeCodexGemini Agent BuilderGenerative AiModel Context Protocol (Mcp)Prompt Engineering
Yesterday
Hybrid
San Francisco, CA, USA
360K-400K Annually
Senior level
360K-400K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Leads strategic enterprise sales engagement with Google, developing account plans, expanding platform partnerships, managing complex multi-year technology deals, forecasting pipeline, and meeting revenue goals. Builds relationships with CIOs, CISOs, CTOs, and executive sponsors while aligning Cloudflare solutions with enterprise architecture and digital transformation initiatives. Collaborates cross-functionally, advises customers on cloud and security capabilities, negotiates agreements, improves operational processes, and supports long-term account growth.
Top Skills: Enterprise Cloud PlatformsMeddpiccNetwork SecuritySalesforceTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account