Auf einen Blick
- Aufgaben: Analysiere und optimiere CUDA-Kernels für maximale Leistung und Effizienz.
- Unternehmen: Gramian Consultancy, ein innovatives Unternehmen im IT-Bereich.
- Vorteile: Flexibles Arbeiten, konkurrenzfähige Bezahlung und die Möglichkeit, global zu arbeiten.
- Weitere Informationen: Freelance-Position mit flexibler Zeiteinteilung und hervorragenden Entwicklungsmöglichkeiten.
- Warum dieser Job: Nutze deine GPU-Expertise, um an spannenden Projekten mit modernster Technologie zu arbeiten.
- Qualifikationen: Erfahrung in CUDA-Programmierung und GPU-Optimierung erforderlich.
Das prognostizierte Gehalt liegt zwischen 100 - 100 € pro Stunde.
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions.
With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for experienced CUDA and GPU performance engineers to analyze, profile, and optimize high-performance kernels and supporting C++ code.
The role combines CUDA optimization, GPU profiling, C++, shader development, and performance analysis across different GPU architectures.
No prior AI experience is required; strong systems and GPU engineering expertise is the key requirement.
- COMMITMENT: Flexible, based on available tasks and project demand
- LOCATIONS: Fully remote - GLOBAL
- PROCESS: Application review, technical assessment, and onboarding
- HOURLY RATE: $60-$100/h
Responsibilities
- Analyze and optimize CUDA kernels for throughput, latency, and hardware utilization.
- Profile GPU workloads to identify compute, memory, synchronization, and execution bottlenecks.
- Develop and implement targeted kernel optimization strategies.
- Refactor C++ and CUDA codebases for performance, maintainability, and portability.
- Evaluate kernel behavior across different GPU architectures and hardware generations.
- Develop or adapt shader and compute workflows using GLSL and Web GPU.
- Use GPU profiling tools to validate improvements and compare performance.
- Document optimization approaches, benchmarks, findings, and performance gains.
- Contribute technical input to GPU architecture and performance-design discussions.
- Evaluate emerging GPU programming techniques and apply relevant improvements.
- Strong professional experience with CUDA programming and GPU kernel optimization.
- Advanced proficiency in C++, ideally in high-performance or systems programming environments.
- Proven experience profiling and tuning GPU workloads for performance.
- Hands-on experience with GPU profiling tools such as NVIDIA Nsight or comparable tools.
- Strong understanding of GPU architecture, memory hierarchy, parallel execution, and synchronization.
- Experience analyzing performance across different GPU hardware generations.
- Hands-on experience with GLSL and/or Web GPU for shader or compute development.
- Ability to document performance findings and technical decisions clearly in English.
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CUDA / GPU Performance Engineer (Kernel Optimization) Arbeitgeber: Gramian Consulting Group
Die Gramian Consulting Group bietet eine herausragende Arbeitsumgebung in Lausanne, die von Innovation und Teamarbeit geprägt ist. Als Cloud Platform Engineer profitieren Sie von flexiblen Arbeitszeiten, kontinuierlichen Weiterbildungsmöglichkeiten und einer unterstützenden Unternehmenskultur, die Ihre berufliche Entwicklung fördert. Zudem genießen Sie die Vorzüge eines technologisch fortschrittlichen Umfelds, das Ihnen die Möglichkeit gibt, an spannenden Projekten mit modernsten Technologien zu arbeiten.
