What are the responsibilities and job description for the Sr Software Engineer - Compute Platform (Fulltime - San Francisco, California) position at ActiveSoft, Inc?
Position: Senior Software Engineer - Compute Platform
Location: San Francisco, California, United States
Fulltime
Description
Industry: Information Technology - Computer Software
Job Category: Engineering
Building the Future of Decentralized AI Development
At Prime Intellect, we're building the foundation for decentralized AI development at scale. Our platform combines powerful distributed training infrastructure with an intuitive developer experience, enabling researchers and engineers to train state-of-the-art models collaboratively.
We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.
Role Impact
This is a hybrid role spanning both our developer platform and infrastructure layers. You'll work on two key areas:
1. Our developer-facing platform for AI workload management
2. The underlying distributed infrastructure that powers our training systems
Skills and Certifications [note: bold skills and certification are required]
Strong Python backend development (FastAPI, async)
Modern frontend development (TypeScript, React/Next.js, Tailwind)
Experience building developer tools and dashboards
Systems programming experience with Rust
Infrastructure automation (Ansible, Terraform)
Container orchestration (Kubernetes)
Cloud platform expertise (GCP preferred)
Observability tools (Prometheus, Grafana).
Location: San Francisco, California, United States
Fulltime
Description
Industry: Information Technology - Computer Software
Job Category: Engineering
Building the Future of Decentralized AI Development
At Prime Intellect, we're building the foundation for decentralized AI development at scale. Our platform combines powerful distributed training infrastructure with an intuitive developer experience, enabling researchers and engineers to train state-of-the-art models collaboratively.
We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.
Role Impact
This is a hybrid role spanning both our developer platform and infrastructure layers. You'll work on two key areas:
1. Our developer-facing platform for AI workload management
2. The underlying distributed infrastructure that powers our training systems
Skills and Certifications [note: bold skills and certification are required]
Strong Python backend development (FastAPI, async)
Modern frontend development (TypeScript, React/Next.js, Tailwind)
Experience building developer tools and dashboards
Systems programming experience with Rust
Infrastructure automation (Ansible, Terraform)
Container orchestration (Kubernetes)
Cloud platform expertise (GCP preferred)
Observability tools (Prometheus, Grafana).
