High-Performance Computing Experts in Germany
for demanding workloads, matched in minutes with vetted and available freelancersWork with specialists who design parallel applications, optimize scientific workloads, and manage clusters with tools such as MPI, CUDA, and Slurm. FRATCH helps you connect with precise, fast-matched, vetted and available freelancers.
Meet FRATCH Experts in Germany, who have recently used High-Performance Computing
Katarzyna G.
Last position:
Interim Financial Accountant / Accounts Payable at Consulting for an alcoholic beverage manufacturer
- Supported monthly and annual closing activities
- Checked incoming invoices for formal and factual accuracy
- Posted incoming invoices
- Contact person for internal departments on accounting matters
- Created and maintained vendor master data
- Processed open items
- Took on additional accounting-related special tasks
- Managed the functional mailbox
- Performed payment runs
Training and knowledge transfer – Accounts Payable:
In addition to the tasks above, I was responsible for training and transferring knowledge to 8 employees of an external service provider in India who took over the accounts payable activities:
- Conducted structured training and practical guidance throughout the accounts payable process
- Trained employees in checking and posting incoming invoices, including formal and factual checks
- Taught vendor master data maintenance, open-item processing and payment runs
- Trained employees in using the functional mailbox and communicating effectively with internal departments
- Explained accounting procedures, controls and company-specific accounts payable requirements
- Conducted “Training on the Job” using practical posting cases and real business transactions
- Supported the team in independently carrying out accounts payable processes and resolving accounting questions
- Checked the quality and accuracy of work results and provided continuous feedback and coaching
- Supported the transfer of accounts payable processes to the external service provider and ensured structured knowledge transfer and an orderly handover
- Supported a smooth transition by documenting processes, clarifying responsibilities and ensuring consistent application of accounting requirements
Software: JDE, ELO, SAP Concur
Gabin Maxime N.
Last position:
Multi-Agent R&D Pipeline (3 Custom Agents) at Independent Project
Claude Code subagents, MCP, Pydantic V2, pytest, bandit
Designed and shipped 3 specialized agents that hand work down a line: a research agent writes a cited implementation spec, a coding agent builds the modular code and its tests, a review agent ranks findings by severity and applies the fixes. Each handoff is a structured document, so no stage depends on another agent's context window.
Connected the research agent to an academic-research MCP server (Semantic Scholar, ArXiv, Hugging Face Hub, citation snowballing) so every reference traces to a tool result rather than the model. Gated commits behind ruff, mypy, pytest and bandit, required human sign-off before installs and commits, and persisted session state on disk so long runs survive a context reset.
Peter S.
Last position:
Senior ML Engineer & AI Researcher at Anonymous Client
Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing
- Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
- Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
- Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.
Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision
Paul T.
Last position:
Senior Project Manager Networks Division at Samsung Electronics GmbH
- Managed the successful overall Trial and Commercial deployment of OpenRAN technology and swap-out of legacy SRAN for 2 mobile network operators in Germany.
- End-to-End Project life cycle governance and coordination of multiple Workstream leads i.e. Operations, Performance, Site Solution Management, Design, SW Delivery, Integration & Implementation, OSS Tools, 3rd-party Resource Support.
- Project planning to cover major milestones by delivering roadmap alignment in compliance with the German Network Regulatory Agency (BNetzA), as a vendor.
- Provided pre/post-Sales support to the Accounts Team for RfP/RfQ submissions.
Sukumar R.
Last position:
AI Consultant
- Architect end-to-end AI/ML solutions, with a strong focus on advanced LLM applications, autonomous agentic AI workflows using MCP toolset, vLM embedding computations, and robust agentic RAG pipelines to drive real-world business impact for clients across diverse sectors.
- Designed intelligent agentic AI workflows to automate knowledge retrieval and reasoning for B2B clients, accelerating business impact.
Ananthraj N.
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 P.
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
Serge K.
Last position:
Data Scientist & 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
- Development of feature store and data synchronization between environments
- Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
- Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
- Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
- Development of Copilot Agent Skills
Shiqing F.
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.
Dmitriy D.
Last position:
Freelance Senior Data Scientist at Merck KgaA
- AWS
- Genedata Profiler
- Data Lake
- APIs
- Rstudio
- GitLab
- Python
- R
- Data acquisition, integration, and simulation
- Multiplex immunofluorescence
- Copy-number variation calling
- HLA typing and loss-of-heterozygosity analysis
- RNA expression analysis
Alexander S.
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 B.
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
Afaq A.
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.
Muhammed A.
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 L.
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
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
Information Technology, Education, Automotive
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
98%
Master's degree or higher
85%
Doctorate
34%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
High-Performance Computing experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (61%)
- Education (59%)
- Automotive (39%)
- Manufacturing (37%)
- Energy (35%)
- Biotechnology (26%)
- Banking and Finance (26%)
- Healthcare (24%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What HPC does
High-Performance Computing, commonly called HPC, combines powerful compute nodes, fast interconnects, parallel software, and shared storage to process demanding workloads. Companies use it for simulations, data-intensive research, numerical modeling, and machine learning that exceed the practical limits of standard systems.
Core workloads
HPC supports workloads where processing speed, memory access, and repeatable results matter. Typical applications include:
- Computational fluid dynamics and finite element analysis
- Molecular modeling, genomics, and drug discovery
- Weather, climate, and seismic simulation
- Rendering, signal processing, and large-scale machine learning
Ecosystem and tooling
Strong HPC work connects application code with the right hardware and scheduler. Specialists often use MPI, OpenMP, CUDA, ROCm, Linux, containers, and batch systems such as Slurm, alongside parallel file systems and workload monitoring. Profiling tools reveal bottlenecks in communication, memory, I/O, and GPU utilization.
When companies need specialists
Freelance expertise helps when a research team needs a cluster configured, an existing codebase accelerated, or a workload moved to cloud infrastructure. German manufacturers, research organizations, life science companies, and energy businesses may also need support linking HPC results to production, laboratory, or engineering workflows.
- A simulation misses its runtime or scaling targets
- A cluster needs scheduling, security, or capacity improvements
- GPU resources remain underused
- A team needs remote support across sites or on-site coordination in Germany
Delivery and collaboration
Projects can cover architecture, cluster provisioning, compiler and library setup, parallelization, performance testing, and operational documentation. Remote collaboration works well when access, data handling, and test environments are prepared; on-site work can help with specialized hardware, restricted facilities, or close coordination with local teams.
What strong professionals bring
The best specialists connect domain goals with measurable system behavior. They can explain scaling limits, choose suitable algorithms, validate numerical results, and make trade-offs between throughput, latency, cost, and maintainability clear. Look for evidence of reproducible benchmarks, clean automation, robust fault handling, and knowledge of the target workload rather than hardware familiarity alone.
Frequently asked questions
Questions about High-Performance Computing? Start with the answers below.
High-Performance Computing is used for simulations, scientific analysis, engineering design, genomics, climate modeling, rendering, and large machine learning workloads. It is most useful when parallel processing can reduce runtime or make a problem feasible at all.
HPC describes a way of organizing compute resources and software for demanding workloads, while cloud computing describes how infrastructure is provisioned and delivered. HPC can run on dedicated clusters, in the cloud, or in a hybrid environment, depending on data, performance, and operational constraints.
A capable High-Performance Computing specialist often brings Linux, networking, storage, scripting, containers, compiler toolchains, and workload scheduling skills. Depending on the project, MPI, OpenMP, CUDA, ROCm, numerical methods, or machine learning can be equally important.
The right level of HPC experience depends on the work. Cluster maintenance may call for strong systems expertise, while code optimization requires knowledge of algorithms, parallel patterns, profiling, and the scientific or commercial domain behind the workload.
High-Performance Computing projects can often be handled remotely when secure cluster access, documentation, and reproducible test data are available. On-site collaboration may still be useful for restricted facilities, specialized hardware, or teams that need close coordination in Germany.
HPC is a good fit when workloads can be divided across many cores or accelerators and runtime materially affects research or operations. A standard server may be better for transactional applications, irregular small jobs, or workloads that gain little from parallel execution.
Ask a High-Performance Computing specialist to explain the workload, bottleneck, parallelization strategy, and validation method in clear terms. Strong evidence includes reproducible performance tests, justified hardware choices, reliable automation, and results that remain numerically correct after optimization.
A typical HPC engagement may deliver a cluster design, scheduler configuration, containerized environment, parallel code changes, profiling results, or an optimized cloud workflow. It should also include documentation and handover material so the internal team can operate and extend the solution.
The average hourly rate of freelancers in Germany who have used High-Performance Computing in their recent projects is 89 €, which corresponds to a daily rate of about 715 € based on an 8-hour working day.
Of the freelancers in Germany who have used High-Performance Computing in their recent projects, 98% hold at least a Bachelor's degree, 85% hold at least a Master's degree, and 34% 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 (20%).
The most common industries among freelancers in Germany who have used High-Performance Computing in their recent projects are Information Technology (61%), Education (59%), and Automotive (39%).
The most common business areas among freelancers in Germany who have used High-Performance Computing in their recent projects are Research and Development (87%), Information Technology (85%), and Product Development (70%).
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.
Hamburg 
Munich Request a free demo
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FRATCH CEO
