Software Engineer - Europe

DeepInfra is looking for strong Software Engineers to join our team. You’ll work on designing, building, and scaling infrastructure for serving top open-source AI models in production. This role is ideal for engineers who are already comfortable owning problems end-to-end and want to deepen their experience working on high-impact AI systems.

If you’re excited about AI/ML and are looking to work on real systems at scale — we’d love to meet you.

What You’ll Do

Design, develop, and test inference solutions for state-of-the-art AI models
Implement, optimize, and evaluate AI models using Python, C++, CUDA, and NCCL
Own and operate production model-serving systems, including monitoring and debugging
Build new features, improve system performance, and contribute to overall system design
Participate in code reviews and technical discussions to maintain high engineering standards
Explore and apply new AI/ML techniques to improve model performance and efficiency
Take ideas from concept to production

What You Bring

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
3+ years of relevant experience
Strong fundamentals in data structures, algorithms, and software design
Proficiency in Python and experience working with AI/ML frameworks (e.g., PyTorch, TensorFlow)
Hands-on experience building, shipping, and maintaining software systems
Familiarity with AI models, Transformers, and Diffusers
Experience working with version control (Git) and collaborative development workflows
Ability to debug, optimize, and improve existing systems
Strong communication skills and ability to work independently in a fast-paced environment

Bonus

Experience with C++, CUDA, or AI inference
Contributions to open-source ML projects

Why DeepInfra

Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models.
Small team, huge impact: your work ships directly to customers.
Opportunity to learn from engineers building high-performance inference at scale.
Fast-paced environment with ownership, autonomy, and end-to-end responsibility.