High-Performance Computing Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used High-Performance Computing
Afaq Afaq Saeed
Last position:
Master’s Thesis Researcher – Multiview Perception Evaluation at Volkswagen AG
- Developed an evaluation framework for AI-generated multiview driving videos intended for perception and embodied-AI/VLA-related training workflows.
- Designed automated checks for temporal coherence, cross-camera consistency, semantic correctness, and multiview geometric quality, exposing failure modes relevant to autonomous systems.
- Combined classical computer vision, learned visual representations, and vision-language models to convert complex video artifacts into measurable engineering signals.
- Built repeatable benchmarking and failure-analysis workflows to support model comparison, data-quality decisions, and system-improvement discussions.
Ananthraj Narasappa
Last position:
Founder at sprhava
Leading the end-to-end development of Edge AI-powered smart glasses for visually impaired individuals, aligning product vision with user needs and managing a cross-functional team of data scientists, Android developers, AWS engineers, and hardware specialists.
- Defined product roadmap for Edge AI smart glasses and MVP features through user research, stakeholder interviews, and competitive analysis, ensuring accessibility and real-world usability.
- Developed and validated a PoC for AI-driven cancer cell identification in PET/CT scans, collaborating with medical experts to optimize diagnostic accuracy and clinical relevance.
- Built and scaled a multidisciplinary team of 75+ engineers, interns, and designers across Germany and India, driving cross-border collaboration and iterative prototyping.
- Established strategic partnerships with NGOs, healthcare providers, and advocacy groups to embed inclusivity and patient feedback into product design.
- Drove hands-on hardware-software integration using Raspberry Pi and Jetson Nano of AI models. Initiated and nurtured relationships with suppliers, manufacturers, and ecosystem players to build scalable go-to-market plans.
- Owned critical product decisions, from prototype development to funding strategy, applying a data-informed and impact-driven mindset.
- Fostered a learning-focused culture by facilitating brainstorming sessions and continuous feedback loops between engineering and product.
Achievements:
- Public speaker: Auto.Ai 2025 (Berlin), Wearable technologies 2025 (Munich and Bangalore), MEDICA 2024 (Dusseldorf)
- WMF, Bologna, Italy (June 2024): Only AI startup to be selected from Germany as EBV hero to represent sprhava on global platform
- Medica, Germany (2024): Delivered a speech on AI smart glasses in world's largest Healthcare event.
- Wearable Technologies, Bengaluru, India (Dec 2024): I was a speaker presenting sprhava and its product.
- Venturise Global Challenge (GIM 2025, Bengaluru Palace, Karnataka): sprhava was selected as one of the 16 top startups (ESDM) to present on this global platform
- Wearable Technologies Conference 2025 EUROPE, Munich, Germany (May 2025): Delivered a talk on Edge AI at the Europe's biggest wearable tech event.
- InsurNext Köln, Germany (2025): sprhava was honoured with a booth from Cologne administration.
Heena Patel
Last position:
Retirement Spend & Tax Optimizer Agentic AI App (Vibe Coding) at Personal Project
Self-directed exploration of agentic AI development methods, taken from idea to a working, publicly usable application
- Built an interactive planning tool for modelling retirement withdrawals and tax strategy using an agentic AI (vibe coding) development approach – demonstrating self-directed investigation of new AI-assisted development methods
- Delivered live, tax-aware spending projections and adjustable user inputs; shipped as a free, install-free browser application built in Python, with attention to usability for non-technical users
Chenchen Chu
Last position:
Patent Engineer (European patent attorney candidate) at Vossius & Partner
- Patent application: European patent drafting and prosecution
- LLM practicing: Developed LLM-based tools for automated patent data retrieval, applying Python scripting to accelerate technical reviews.
Dennis Dickmann
Last position:
Founder at Latence
- Founded Latence to commercialise runtime safety patterns from HALO as a deployable product.
- Built end-to-end as single technical founder with open-source stack on NVIDIA ecosystem.
- Developed TRACE: real-time safety layer for knowledge agents and RAG pipelines with groundedness scoring, prompt-attack detection, GDPR redaction, context compression, audit-ready traces.
- Developed vLLM Factory: production inference framework on vLLM with custom Triton kernels and 12 parity-validated plugin models, achieving up to 11.7× throughput vs vanilla PyTorch.
- Developed ColSearch: single-node multi-vector late-interaction retrieval engine with Rust SIMD and fused CUDA, achieving 3.12× FastPlaid geomean QPS on BEIR-8 and a 1.58-bit quantized lane 6.4× smaller than FP16.
- Developed llm-opt: LLM compression research framework with hierarchical importance, structured pruning, tabu search, knowledge distillation.
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Dirk Markus M.
Last position:
Scientific Software Consulting Engineer
Technical audit for scientific software.
Oliver Ohly
Last position:
Embedded Software Architect at Automotive supplier
Stellar SR6 G7 line, 32-bit Arm® Cortex®-R52+ MCU.
- MISRA-C, C99, Greenhills ARM compiler
- Dassault AUTOSAR Builder
- EB Tresos
- Sparx Enterprise Architect 16.1
- VS Code
- Python xml, lxml, NumPy and Pandas
ISO 26262, ISO 21434, hypervisor, key management, HSM. Tooling & automation. LieberLieber LemonTree + Sparx EA. Jira, Confluence, SharePoint. Git/Github. DevOps through Jenkins & Conan.
Shiqing Fan
Last position:
Technical Director at EmotionPool GmbH
- Spearheaded the EU market entry strategy for L3/L4 autonomous logistics vehicles, driving the technological localization and deployment of the parent company’s smart robotics portfolio.
- Orchestrated technical alignment between top-tier autonomous driving suppliers across China and Europe, translating complex client requirements into precise engineering specifications compliant with EU standards.
- Cultivated strategic joint R&D initiatives with leading European universities, research institutes, and enterprises, accelerating the transition of cutting-edge robotic concepts into commercial products.
- Directed the end-to-end architecture of intelligent warehousing solutions, guiding cross-functional teams in optimizing hardware integration for autonomous vehicles & robots, and overall system performance.
- Led the R&D of high-fidelity simulation and AI algorithms using NVIDIA Isaac Sim & Lab, establishing robust "Sim-to-Real" pipelines to train and validate dynamic path planning optimization, intelligent obstacle avoidance, and complex navigation stacks prior to physical deployment.
- Maintained hands-on oversight of the core system architecture, focusing on bottom-level performance tuning, AI model inference acceleration with TensorRT/ONNX Runtime, and sensor integration.
Alexander Schulze
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
André Beran
Last position:
External Attack Surface Assessment & Cybersecurity Readiness Checks at Graydaxe Cybersecurity GmbH
- Conducting cybersecurity readiness checks based on an in-house assessment methodology
- Analyzing the external attack surface using the Graydaxe EASM platform
- Assessing maturity levels and deriving prioritized recommendations for action
Muhammed Alp
Last position:
AI System & Product Lead at awRAG.io & Laiers.ai
Conception, planning, and production deployment of two AI platforms for industrial research and engineering workflows, from use-case identification and requirements analysis through architecture decisions and build-vs-buy trade-offs to go-live.
awRAG.io: Identification of the use case (fragmented knowledge base across distributed AI tools), definition of data requirements, architecture decision for a multi-tenant RAG-as-a-service platform with GDPR-compliant EU infrastructure and production-grade retrieval pipeline
LAIERS.ai: Use-case definition (context loss in linear AI workflows), strategic product decisions on UX, cost structure, and multi-LLM orchestration, rollout of a spatial AI conversation platform with proprietary context management system LAICS
LLMOps ownership: Quality assurance, pipeline optimization, security architecture (OAuth 2.0, SOC 2), and performance monitoring of both platforms in live production
Core topics: LLM, RAG, vector databases, LLMOps, AI architecture strategy, cloud infrastructure, data sovereignty
Gernot Lang
Last position:
Founder and Managing Director at Softwerk/Ruhr GmbH
- Architecting and developing SaaS platform for graphical definition and execution of pandas data processing pipelines
- Developed POlyglott, an open-source Python CLI tool for translation workflow management featuring PO file parsing, quality linting with glossary enforcement, and DeepL API integration for machine translation
- Developed web application for material compliance management (EU REACH) using Django and modern web technologies
- Built automated infrastructure platform using Proxmox, Terraform, and Ansible — VM provisioning, configuration management, internal DNS, and fleet-wide security hardening across multiple subnets
Arne Hendricks
Last position:
Embedded Fullstack Developer at IoT / Infrastructure Automation Sector
- Analysis of legacy codebase and identification of architectural issues, implementing improvements in coordination with the Product Owner.
- Development of clean, efficient, and fully documented code following established software engineering practices and standards.
- Analysis of Erlang components in backend and device layers to provide recommendations for ensuring stable system operation.
- Setup and optimization of CI/CD pipelines on client infrastructure, including testing, debugging, and certificate management quality assurance.
- Participation in planning, design, and implementation of epics and stories according to Product Owner specifications.
- Technical consultation for Product Owner regarding Erlang codebase management and best practices.
- Collaboration with Product Owner, Scrum Master, and development team to ensure timely delivery of features.
- Elixir & Phoenix + PostgreSQL
- Erlang
- IoT
- CI/CD
- Git
- Agile/Scrum
- Docker
- Kubernetes
- Frontend (VueJS)
- Embedded Devices
Gabin Nguegnang
Last position:
Freelance Mathematics Expert for AI Model Training at Outlier AI and Mindrift AI
- Trained AI models to address specialized real-world problems
- Designed research oriented prompts grounded in applied mathematics, and developed rubrics criteria that consistently improve model reasoning and output quality
- Assessed the performance, accuracy, and reliability of advanced AI models
- Collaborated closely with cross-functional development teams to ensure AI models meet industry standards and provided actionable insights
Discover over 15,000 top freelancers
Statistics of experts using High-Performance Computing
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.9 years
Positions per freelancer
9
Top business areas
Research and Development, Information Technology, Product Development
Top industries
Education, Information Technology, Automotive
Certification focus areas
Information Technology, Research and Development, Business Intelligence
Bachelor's degree or higher
97%
Master's degree or higher
89%
Doctorate
35%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using High-Performance Computing
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
HPC workloads
High-Performance Computing, or HPC, is used for jobs that need serious compute, memory, and fast data movement. Companies bring in experts for simulation, modelling, analytics, and batch workloads that must finish reliably under load. It is common in research, manufacturing, energy, automotive, and finance.
Core stack
- Cluster setup with Linux, InfiniBand, and shared storage
- Job scheduling with Slurm, PBS Pro, or similar tools
- Parallel programming with MPI, OpenMP, and CUDA
- Performance tuning across CPU, GPU, memory, and I/O
- Monitoring, queue policy, and workload troubleshooting
What strong experts do
A strong HPC specialist looks at the full path from code to hardware. They profile bottlenecks, reduce wait times, manage node failures, and keep software stacks reproducible. They also know when a workload belongs on a cluster, on GPUs, or in a hybrid setup.
When freelancers help
Freelance HPC expertise is often brought in for cluster migrations, queue redesign, or a project that needs better throughput before a deadline. It also helps when an internal team needs support for scaling a model, porting legacy code, or stabilizing jobs that fail only at scale. In Germany, this work is often coordinated with local teams while some tuning and support happen remotely.
Ecosystem and tools
HPC work often spans Slurm, Singularity or Apptainer, module systems, Python, C, C++, Fortran, and vendor toolchains. Storage, networking, and schedulers matter as much as application code. Good specialists keep the environment clean so researchers and product teams can run the same workload again with the same result.
Signs you need help
- Jobs run slowly or waste cluster capacity
- Users need help with MPI, GPU, or batch scripts
- The environment is hard to reproduce
- Scaling works on a test node but fails in production
- The team needs short-term help for a migration or review
Frequently asked questions
Questions about High-Performance Computing? Start with the answers below.
High-Performance Computing is used for workloads that need parallel compute and fast access to data. Typical examples include simulation, scientific modelling, engineering analysis, and large batch jobs. It is also used when a workload is too slow or unstable on standard servers.
HPC and supercomputing are closely related, but not identical in everyday use. Supercomputing usually refers to the largest systems, while HPC also covers smaller clusters and dedicated compute platforms. Companies often use the terms together when they talk about the same performance goals.
A strong High-Performance Computing specialist usually knows Linux, scripting, and at least one compiled language such as C, C++, or Fortran. Knowledge of MPI, OpenMP, CUDA, storage systems, and schedulers like Slurm is often important too. In many projects, profiling and debugging skills matter as much as raw coding ability.
Look for clear work on performance, reliability, and reproducibility. A good HPC expert can explain why a workload is slow, how they would measure it, and what they would change in code or infrastructure. They should also be comfortable discussing cluster limits, scheduler behavior, and data movement.
A High-Performance Computing freelancer is a good fit when you need focused help for a migration, a bottleneck, or a short project. That is common when a team has the system but lacks time or deep cluster experience. Freelancers also help when you need outside review before a bigger rollout.
Many HPC tasks can be done remotely, especially software tuning, workload analysis, and scheduler work. On-site help is useful when the job involves hardware changes, network issues, or access to a secured cluster room. In Germany, mixed remote and on-site collaboration is common for these projects.
High-Performance Computing is built for tightly controlled performance, parallel workloads, and specialized hardware. Cloud compute can be useful for flexibility, while container platforms help with packaging and portability. Many teams use all three together, but HPC remains the better choice when predictable throughput and low-latency interconnects matter.
Prepare a clear view of the workload, the current cluster or environment, and the main pain points. A strong HPC freelancer will want logs, job scripts, system details, and a description of success criteria. The better the input, the faster they can find the real bottleneck and make useful changes.
The average hourly rate of freelancers in Germany who have used High-Performance Computing in their recent projects is 90 €, which corresponds to a daily rate of about 723 € based on an 8-hour working day.
Of the freelancers in Germany who have used High-Performance Computing in their recent projects, 97% hold at least a Bachelor's degree, 89% hold at least a Master's degree, and 35% hold a doctorate.
On average, freelancers in Germany who have used High-Performance Computing in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used High-Performance Computing in their recent projects are English (100%), German (98%), and French (21%).
The most common industries among freelancers in Germany who have used High-Performance Computing in their recent projects are Education (64%), Information Technology (57%), and Automotive (43%).
The most common business areas among freelancers in Germany who have used High-Performance Computing in their recent projects are Research and Development (93%), Information Technology (83%), and Product Development (69%).
Main locations of FRATCH Experts, who have recently used High-Performance Computing
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Hamburg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
