Senior High Performance AI Engineer

Jobtailor; Deutschland; Remote; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Jobtailor seeks a senior AI systems engineer to design and optimize agentic AI frameworks within the CUDA ecosystem. You will implement multi-agent workflows, tool usage, and performance tuning for GPUs while collaborating with cross-functional teams.

The role requires strong C/C++, Rust, and Python skills, plus hands-on experience with RL, AI inference, and transformer engines. Applicants should have 4+ years in related fields and a track record of impactful contributions.

Qualifikationen

• Bachelor's degree in CS/EE or related field, or equivalent experience; MS or PhD preferred.
• 4+ years in AI systems, ML, compilers, HPC, or related areas.
• Hands-on experience in agent systems, coding agents, RL, or modern AI inference systems.
• Strong C/C++, Rust, and Python programming skills.
• Experience with GPU programming and CUDA-based optimization.

Aufgaben

• Design, build, and optimize agentic AI systems for CUDA ecosystem.
• Develop data, environments, verification, reward, and evaluation systems.
• Collaborate with internal NVIDIA teams to bring new capabilities into products.
• Work across system boundaries to deliver high-impact AI tooling.

Kenntnisse

Agent Systems Development

Reinforcement Learning

GPU Performance Optimization

C/C++ Programming

Rust Programming

Python Programming

Software Engineering Fundamentals

Ausbildung

Bachelor's degree in CS/EE or related field

MS or PhD preferred

Tools

CUDA

TRT-LLM

SGLang

vLLM

Transformer Engine

Jobbeschreibung

• Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration
• Build data, environments, verification, reward, and evaluation systems to continuously improve model and agent capabilities
• Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs
• Collaborate with internal NVIDIA software, model, and hardware teams to bring new capabilities into NVIDIA products

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; MS or PhD preferred
• 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, high-performance computing, or related areas
• Hands-on experience in agent systems, coding agents, reinforcement learning, or modern AI inference systems
• Strong C/C++, Rust, and Python programming skills
• Solid software engineering fundamentals
• Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms
• Ability to work effectively across system boundaries
• Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools
• Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine
• Deep expertise in GPU systems and performance optimization
• Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems

Core Competencies

Demonstrates expertise in designing and optimizing agentic AI systems within the CUDA ecosystem, with strong programming skills in C/C++, Rust, and Python. Proven ability to collaborate across software and hardware teams to enhance NVIDIA products through innovative AI solutions.

Highest-signal resume keywords

• Agent Systems Development
• CUDA Programming
• Reinforcement Learning
• GPU Performance Optimization
• High-Performance Computing

Hard Skills

• C/C++ Programming
• Rust Programming
• Python Programming
• Agent Architectures
• Multi-Agent Workflows
• Model Inference
• Software Engineering Fundamentals
• Performance Optimization
• TRT-LLM
• SGLang

Soft Skills

• Collaboration
• Problem-Solving

Industry Keywords

• AI Systems
• Machine Learning
• Deep Learning
• Autonomous Software Engineering
• Open-Source Leadership

Tools & Technologies

• CUDA
• GPUs
• Compilers
• Runtimes
• Libraries
• Kernels
• Transformer Engine
• VLLM