AI Engineer – New College Graduate

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design and implement large-scale, highly available AI cloud services, encompassing GPU virtual machines, bare-metal services, container services, cloud networking, storage, billing, monitoring, security, and management of multi-region resources.

• Create managed Kubernetes services featuring GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for extensive AI training and inference workloads.

• Develop capabilities for distributed training, model fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, model evaluation, and production-grade LLM and multimodal model serving.

• Build enterprise AI Agent platforms that include Agent construction, workflow orchestration, tool integration, retrieval-augmented generation, memory systems, sandbox execution, multi-Agent collaboration, evaluation, observability, security, and large-scale Agent runtime infrastructure.

• Engineer GPU resource scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operation systems tailored for extensive AI infrastructure.

• Begin in one program area based on interview assessment and business requirements.

• Potential for rotation across various roles as part of career advancement.

• Construct infrastructure and platforms that support AI startups, research institutions, and global enterprises.

⛳️ Requirements

• Recent graduates (Bachelor's, Master's, PhD) from all fields and/or candidates with up to 2 years of relevant work experience.

• Proficient programming skills in one or more languages, such as Go, Python, C++, Java, Rust, or similar technologies.

• Preferred experience with Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, distributed storage, or other cloud-native technologies.

• Strongly preferred experience in developing or managing large-scale cloud platforms, Kubernetes platforms, AI training platforms, inference platforms, or Agent platforms.

• Genuine passion for advanced AI infrastructure, cloud-native technologies, and the creation of large-scale, globally distributed systems.

• Documented achievements in academia, engineering projects, prestigious publications, open-source contributions, or competitive programming/algorithm contests.

• A robust ownership mentality, engineering discipline, and dedication to making a significant impact.

• Eligibility to work in the United States, based on the location of US roles.

🏝️ Benefits

• Opportunities for rotation across various roles as part of professional development.

• An inclusive and respectful environment with open workspaces and a vibrant, start-up culture.

• Networking opportunities with industry leaders and enthusiasts.

• Direct contribution and influence in the digital asset and AI computing sectors.

• Participation in innovative projects and the development of processes and systems.

• Personal accountability, autonomy, rapid growth, and learning opportunities.

• Access to training and mentoring.

• Commitment to equal employment opportunities.