Job Description

Who We Are:

At Dria, we're building a distributed, crowdsourced hyperscaler—a movement led by everyday people that unlocks faster, more affordable inference for everyone.

Dria powers scalable, high-performance inference across diverse CPU and GPU platforms. Our mission is to deliver accessible, cutting-edge performance anytime, anywhere.

We're developing an inference engine optimized for heterogeneous devices, along with an open-source, crowdsourced AI inference SDK tailored for distributed AI workloads.

Our research is focused on delivering high-quality AI for 8 billion unique lives, with an emphasis on compilers, sharding, peer-to-peer networks, CPU/GPU inference, and data generation.

About the Job:

As a Distributed Systems Developer , you will play a critical role in building and optimizing SDKs that power large-scale, distributed AI workloads. You will work with asynchronous frameworks, workflow orchestration APIs, and RPC communication patterns to create scalable and fault-tolerant systems. This role requires deep technical expertise, a strong product mindset, and the ability to thrive in fast-paced environments where ambiguity is part of the challenge.

Key Responsibilities:

Distributed Systems & Service-Oriented Architecture

• D esign and implement scalable, fault-tolerant distributed systems with a strong focus on performance and reliability.
• Develop Python SDKs to interface with distributed computing resources and improve developer experience.
• Build and optimize RPC communication patterns for efficient service interactions.
• Work with asynchronous frameworks to ensure efficient and responsive system behavior.
• Leverage workflow orchestration APIs to schedule, manage, and track distributed computation tasks.

Developer-Focused SDK & API Design

• Build intuitive, consistent, and user-friendly SDKs that streamline developer adoption.
• Design APIs that are elegant, well-documented, and scalable, ensuring a seamless developer experience.
• Collaborate with internal teams (engineering, product, DevRel) to shape API standards and best practices.
• Optimize SDK performance for latency, scalability, and efficiency.

Infrastructure & Performance Optimization

• Work with microservice architectures to scale distributed AI workloads efficiently.
• Utilize MongoDB, Redis, and SQL databases to optimize storage and retrieval performance.
• Implement Dockerized services for scalable deployment in AWS cloud environments.
• Ensure security, observability, and maintainability of all distributed components.

Qualifications:

Technical Expertise

• Strong background in distributed systems and service-oriented architectures.
• Proficiency in Python SDK development, with a deep understanding of asynchronous programming.
• Experience with FastAPI, Transformers, MCP, and Ollama frameworks.
• Hands-on expertise in workflow orchestration APIs for distributed task management.
• Solid understanding of MongoDB, Redis, SQL databases, and their role in distributed computing.
• Experience working with AWS, Docker, and microservices in a cloud-native environment.

Non-Technical Skills & Mindset

• Proven ability to take products from 0 to 1 in fast-moving environments.
• Strong problem-solving skills, with the ability to navigate ambiguity and complex technical challenges.
• Passion for intuitive developer experiences, ensuring SDKs and APIs are easy to use and integrate.
• Strong collaboration and communication skills, able to work across engineering, product, and developer teams.

What We Offer:

• Top business contacts.
• Direct cooperation with our founders/managing directors.
• Diverse learning and training opportunities and personal coaching from experienced entrepreneurs.
• Remote/Hybrid working opportunities.
• Flexible working hours.
• A dynamic work ecosystem where you can take the initiative and responsibility.
• Enjoyable team/company activities.
• Working in an international setting.
• A job with Purpose and Meaning!

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