(Senior) Full-Stack Engineer
August 20
🏢 In-office - San Francisco
Description
• Design, implement, and maintain the core backend services and APIs that power our decentralized compute platform, ensuring high performance, reliability, and scalability. • Collaborate with the product and design teams to define and prioritize features, and translate requirements into elegant, efficient, and maintainable code. • Optimize the platform's resource management, scheduling, and load balancing mechanisms to maximize the utilization and cost-effectiveness of our distributed compute resources. • Implement and continuously improve the platform's monitoring, logging, and alerting systems to ensure the health, security, and availability of our services. • Contribute to the development of our open-source projects and engage with the developer community to foster adoption, collaboration, and innovation.
Requirements
• Extensive experience in building and scaling complex backend systems using Python and related frameworks (e.g. FastAPI). • Strong expertise in cloud platforms, particularly GCP, with hands-on experience in designing and managing scalable, fault-tolerant, and cost-effective architectures. • Familiarity with containerization technologies (e.g., Docker, Kubernetes) and infrastructure-as-code tools (e.g., Terraform, Ansible) for deploying and managing services in the cloud. • Knowledge of ML model training pipelines, frameworks (e.g., PyTorch, Ray, DeepSpeed, etc.) is a strong plus. • Experience with hardware infrastructure, including server hardware, networking equipment, and GPUs, is a strong plus. • If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, please still reach out!
Benefits
• Competitive compensation, including equity and token incentives, aligning your success with the growth and impact of Prime Intellect. • Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco or Berlin. • Visa sponsorship and relocation assistance for international candidates. • Quarterly team off-sites, hackathons, conferences and learning opportunities. • Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.
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