AI Engineer – New College Graduate

🔥 1 minute ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $70k - $130k / year

⏰ Full Time

⚪️ Entry-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bitdeer Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🏗️ Construction

💰 Post-IPO Equity on 2023-05

Consulting • Logistics • Construction

Bitdeer Group is a leader in the blockchain and high-performance computing industry. It is one of the world’s largest holders and suppliers of hash rate, offering specialized mining infrastructure and high-quality hash rate sharing products. Founded by cryptocurrency pioneer Jihan Wu and led by CEO Matt Linghui Kong, the company is headquartered in Singapore with mining datacenters in the United States, Norway, and Bhutan. Bitdeer is committed to providing comprehensive computing solutions, including cloud services and AI capabilities, while emphasizing dedication, authenticity, and trustworthiness in its mission to be the most reliable provider in the industry.

📋 Description

• Develop 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 • Develop 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 • Develop distributed training, model fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, model evaluation, and production-grade LLM and multimodal model-serving capabilities • Develop 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 • Develop 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 • Start in one of the listed technical areas based on interview assessment and business needs • Rotate across different roles as part of career development

🎯 Requirements

• 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 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 • Strong ownership mentality and engineering discipline • Commitment to creating meaningful impact early in your career

🏖️ Benefits

• Opportunities to rotate across different roles as part of career development • Culture that values authenticity and diverse perspectives • Inclusive, respectful environment with open workspaces and an energetic, start-up spirit • Opportunities to network with industry pioneers and enthusiasts • Ability to contribute directly and make an impact on the future of the digital asset and AI computing industry • Involvement in new projects and developing processes/systems • Personal accountability, autonomy, rapid growth, and learning opportunities • Training and mentoring • Equal employment opportunities