Rust Software Engineer

Turba AI GmbH; Heidelberg; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A tech company specializing in AI and systems engineering in Heidelberg is seeking an experienced software engineer to develop distributed systems involving GPU workloads and Kubernetes integration. The role requires strong Rust programming skills along with a background in data structures and algorithms. Enjoy flexible hours and a culture that values your ideas. Join a diverse, international team and build a career-defining legacy.

Leistungen

Competitive pay & perks

Flexible hours and remote-friendly culture

Flat hierarchies and rapid decision-making

Career-defining legacy opportunities

Work in a diverse international team

Qualifikationen

• Bachelor’s or master’s degree in computer science, Electrical Engineering, or Data Science.
• Strong programming skills in Rust.
• Proficiency in writing distributed software.

Aufgaben

• Develop distributed systems for GPU workload co-location.
• Integrate solutions into Kubernetes-based GPU clusters.
• Build lightweight HTTP/gRPC services for component interaction.

Kenntnisse

Strong programming skills in Rust

Proficiency in data structures and algorithms

Writing distributed software with asynchronous components

Managing concurrent state and avoiding deadlocks

System-level components and FFIs

CUDA and GPGPU programming

Ausbildung

Bachelor’s or master's degree in computer science or related field

PhD is a plus

Tools

Kubernetes

Jobbeschreibung

Your profile

• Bachelor’s or master's degree in computer science, Electrical Engineering, Data Science, or a related field. PhD is a plus.
• Strong programming skills in Rust.
• Profifiency in data structures and algorithms.
• Proficiency in writing distributed software with asynchronous components, managing concurrent state, avoiding deadlocks.
• Proficiency in writing system-level components, FFIs, development of unsafe components.
• Experience with CUDA, GPGPU programming, and performance optimization is a plus.
• Experience with Kubernetes APIs and control plane components is a plus.

Your mission

• Develop distributed systems involving node-level daemons, dynamic library interceptors, and system-level components for allowing GPU workload co-location and checkpointing/restoration on Kubernetes nodes.
• Integrate solutions into Kubernetes-based GPU clusters with custom scheduling behavior.
• Build lightweight HTTP/gRPC services to allow for interaction with various components, export metrics, and provide custom views.
• Engineer novel GPU co-location and GPU checkpoint/restore pipelines for controlling workload's access to GPUs without termination/restarts.

Why us?

• Competitive pay & perks: because great work deserves great rewards
• Work on your terms: flexible hours and remote-friendly culture
• Fast lanes, no red tape: flat hierarchies and rapid decision-making mean your ideas go live
• Make it happen: your ideas aren’t just heard - they’re shipped
• Right place, right time: be part of our growth story and build a career-defining legacy
• Global by design: work with a diverse, international team across Germany and the US
• Work with the best: work alongside exceptional engineers and raise the bar together