High-Performance Computing Experts in Munich
for demanding workloads, matched in minutes with precise AIHire experts who design parallel workloads, tune MPI and OpenMP applications, and operate GPU-accelerated clusters for research, engineering, and advanced analytics. FRATCH quickly matches you with vetted, available freelancers whose skills fit your technical requirements.
Meet FRATCH Experts in Munich, who have recently used High-Performance Computing
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.
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.
Stephan K.
Last position:
Migration Coordination at ITZBund
- Analysis and assessment of government business processes with regard to migration capability
- Definition and preparation of the technical framework conditions in the new master data center
- Development and optimization of migration procedures and processes
- Transformation of existing solutions to new technical standards (technology refresh)
- Coordination of architecture and technical cross-cutting topics
Discover over 15,000 top freelancers
Statistics of experts using High-Performance Computing
Aggregated from the professional profiles of matched freelancers.
Experience
23 years (Germany: 14 years)
Position duration
2.5 years (Germany: 1.9 years)
Positions per freelancer
12 (Germany: 9)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
40% (Germany: 85%)
Doctorate
40% (Germany: 34%)
Certifications per freelancer
2
Most common languages
German, English, Tamil
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 Munich 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 Munich 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 (100%)
- Automotive (50%)
- Banking and Finance (50%)
- Healthcare (50%)
- Insurance (50%)
- Telecommunication (50%)
- Biotechnology (33%)
- Energy (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it is
High-Performance Computing, or HPC, uses parallel processing to solve demanding computational problems faster than standard systems can. It combines powerful CPUs, GPUs, high-speed interconnects, storage, and scheduling software into clusters built for intensive workloads.
What it builds
HPC supports work where simulation, modelling, or data processing would overwhelm conventional infrastructure:
- Computational fluid dynamics and structural simulation
- Molecular modelling, genomics, and drug research
- Weather, climate, and geospatial analysis
- Machine learning and large-scale scientific computing
Ecosystem and tooling
Professionals work across Linux clusters, batch schedulers such as Slurm, and parallel programming models including MPI, OpenMP, CUDA, and OpenACC. They also use GPU libraries, high-performance file systems, containers, workload monitoring, and orchestration tools suited to research and enterprise environments.
When expertise helps
Companies bring in freelance HPC specialists when a workload must scale, a cluster is underused, or simulation results arrive too slowly. They can assess bottlenecks, select suitable compute resources, refactor serial code, configure queues, and establish repeatable performance testing. Munich-based teams may also value on-site workshops alongside remote delivery.
Strong professionals
A strong specialist understands both application behaviour and infrastructure limits. They profile code before changing it, distinguish CPU, GPU, memory, and network bottlenecks, and explain trade-offs in clear terms. Experience with reproducible environments, security controls, data movement, and failure recovery matters as much as raw performance tuning.
Choosing the right fit
Look for evidence that a professional has delivered comparable workloads, not just configured a cluster. Ask how they measure scaling, validate numerical correctness, document deployment, and handle jobs that compete for shared resources. For Munich projects, clarify collaboration language, access requirements, and whether the work involves a local data centre or a cloud-based HPC environment.
Frequently asked questions
Need clarity? These are the questions we hear most often about High-Performance Computing.
High-Performance Computing is used for simulations, scientific modelling, engineering analysis, genomics, climate research, and large-scale data processing. It is valuable when workloads can be split across many CPU cores or GPUs and ordinary systems cannot deliver results quickly enough.
High-Performance Computing describes an approach to processing intensive workloads, while cloud computing describes how infrastructure is delivered. HPC can run in a private data centre or in the cloud, and cloud resources can support HPC when they provide suitable processors, networking, storage, and scheduling.
High-Performance Computing work often requires Linux administration, parallel programming, performance profiling, and cluster scheduling. Useful adjacent skills include MPI, OpenMP, CUDA, containerisation, distributed storage, automation, and data engineering.
High-Performance Computing projects vary from application profiling to complete cluster design, so the required experience depends on the scope and risk. Ask for comparable examples involving the same workload pattern, processor type, scheduler, and data environment rather than relying on general infrastructure experience.
High-Performance Computing projects can often be delivered remotely through secure cluster access, shared repositories, and scheduled technical sessions. On-site work in Munich may still help with hardware integration, restricted data, facility access, or workshops involving several teams.
High-Performance Computing expertise is useful when simulations run too slowly, cluster capacity is poorly allocated, or application scaling has stalled. A specialist can identify the limiting resource and recommend code, infrastructure, or workflow changes before the company commits to major hardware or cloud spending.
High-Performance Computing quality is best assessed through a clear profiling method, reproducible benchmarks, and evidence that numerical results remain correct after optimisation. Ask the specialist to explain scaling limits, measurement choices, deployment steps, and how they will document the final system.
High-Performance Computing specialists should clarify the workload, data sensitivity, target runtime, available hardware, scheduler, software stack, and definition of success. They should also confirm access procedures, collaboration expectations, and whether the project concerns code optimisation, cluster operations, or both.
The average hourly rate of freelancers in Munich, Germany who have used High-Performance Computing in their recent projects is 114 €, which corresponds to a daily rate of about 909 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used High-Performance Computing in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 40% hold a doctorate.
On average, freelancers in Munich, Germany who have used High-Performance Computing in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Munich, Germany who have used High-Performance Computing in their recent projects are German (100%), English (100%), and Tamil (33%).
The most common industries among freelancers in Munich, Germany who have used High-Performance Computing in their recent projects are Information Technology (100%), Automotive (50%), and Banking and Finance (50%).
The most common business areas among freelancers in Munich, Germany who have used High-Performance Computing in their recent projects are Information Technology (100%), Product Development (100%), and Operations (67%).
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
