HPC & InSilico R&D developer
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HPC & InSilico R&D developer
Location
Madrid, Castellana 85
Experience
Mid
Posted
Jul 30, 2026
Apply by
August 2, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
At Next Gen Compute we tackle some of the most complex business problems precisely where emerging technology makes the difference: artificial intelligence, high-performance computing (HPC), and quantum computing applied to real-world use cases.
We are looking for an Analyst/Consultant who not only understands these technologies, but knows how to turn an ambiguous business challenge into a tangible, measurable, high-impact computational solution. This is not a mechanical execution role: it is a role to build new capabilities, prototype fast, and demonstrate value where no clear answer existed before.
You will work directly with the team at the frontier between computational science and technology strategy, with a special —though not exclusive— focus on Life Sciences: drug discovery, computational biology, and computational chemistry.
Responsibilities
Use cases & applied development
- Translate business challenges into applied AI and HPC solutions, from conceptualization to proof of concept (PoC) and pilot.
- Design, prototype, and validate end-to-end use cases, prioritizing usable outcomes and short iteration cycles.
- Adapt and evaluate emerging models and frameworks (GenAI, foundation models, GPU acceleration) to each client's context and constraints.
Delivery & collaboration
- Take part in the full project lifecycle: problem analysis, solution design, implementation, and communication of results.
- Collaborate with multidisciplinary teams (client, business, data engineering, domain scientists), translating complex technical work into actionable recommendations.
- Document rigorously, ensuring reproducibility and quality across every deliverable.
Technology exploration
- Monitor trends in AI, HPC, and quantum computing, and identify application opportunities and new offerings.
- Contribute to reusable assets, accelerators, and thought-leadership material that position the team at the technology frontier.
###
### Required skills
- Bachelor's or Master's in Physics, Mathematics, Computer Science, Bioinformatics, or an equivalent quantitative discipline.
- 1 to 6 years of experience (Analyst–Consultant range) in data science, AI, or applied technologies; experience in R&D or consulting is a plus.
- Proficiency in Python for analysis (Jupyter) and solid data-engineering practices.
- Hands-on Linux/shell (Bash) proficiency and comfort working in command-line environments.
- HPC cluster management and workload orchestration: SLURM (job scheduling, batch/array jobs, resource allocation), environment modules (Lmod), and containerized workloads (Singularity/Apptainer, Docker).
- Familiarity with HPC infrastructure and parallel computing: GPU computing (CUDA), MPI, job scaling, and ML/DL model deployment on clusters.
- A plus: notions of quantum computing and knowledge of bioinformatics, biochemistry, or computational chemistry.
- Ability to work with ambiguity, structure complex problems, and deliver results autonomously.
- Clear communication with both technical and business audiences; professional English (the team is global).
- Curiosity, a continuous-improvement mindset, and orientation toward real impact.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at [www.accenture.com](http://www.accenture.com/)
Declaración de igualdad de oportunidades en el empleo
Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.
Key Responsibilities
- Translate business challenges into applied AI and HPC solutions from conceptualization to proof of concept.
- Design, prototype, and validate end-to-end use cases with short iteration cycles.
- Adapt and evaluate emerging models and frameworks such as GenAI and GPU acceleration.
- Participate in the full project lifecycle including problem analysis, solution design, and implementation.
- Collaborate with multidisciplinary teams to translate technical work into actionable recommendations.
- Document rigorously to ensure reproducibility and quality across deliverables.
- Monitor trends in AI, HPC, and quantum computing to identify application opportunities.
- Contribute to reusable assets, accelerators, and thought-leadership material.
Requirements
- Bachelor's or Master's in Physics
- Mathematics
- Computer Science
- Bioinformatics
- or an equivalent quantitative discipline
Skills Required
PythonJupyterData engineeringLinuxBashSLURMLmodSingularityApptainerDockerGPU computingCUDAMPIParallel computingML/DL model deploymentAbility to work with ambiguityProblem structuringAutonomous deliveryClear communicationProfessional EnglishCuriosityContinuous-improvement mindsetQuantum computingBioinformaticsBiochemistryComputational chemistry
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