Compute Performance Developer Technology Engineer

NVIDIA; United Kingdom; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in the United Kingdom is seeking a dedicated software developer or computer scientist for its Compute Developer Technology team. The role involves research and development in high performance computing applications, including analyzing and optimizing techniques for CPU, GPU, and network architectures. Candidates should possess strong knowledge of C/C++ and/or Fortran, parallel programming experience, and excellent communication skills. Competitive salaries and a robust benefits package are offered.

Benefits

Comprehensive benefits package

Competitive salaries

Great company culture

Qualifications

• 10+ years of experience in software development or computational methods.
• Strong knowledge of software design and programming techniques.
• Hands-on experience with parallel programming.

Responsibilities

• Engage with experts to address their technical problems.
• Guide application developers and contribute to applications.
• Create and optimize parallel algorithms for the NVIDIA platform.
• Collaborate with diverse teams at NVIDIA for platform improvements.
• Influence design of next-generation architectures and programming models.

Skills

C/C++

Fortran

Parallel programming (MPI, OpenMP, CUDA, OpenACC)

Communication and organization skills

Education

BS, MS, or PhD in computer science or engineering

Job description

NVIDIA is looking for a committed, outstanding software developer or computer scientist to join its Compute Developer Technology (Devtech) team in France. This role focuses on research and development of techniques to accelerate leading applications in high performance computing fields within scientific computing, computational engineering, data analytics, and artificial intelligence. This includes performing in-depth analysis and optimization to ensure the best possible performance on the current and next generation of CPU, GPU, and network architectures.

What you will be doing:

• Engage directly with experts in their field to understand and address the problems they are solving today and tomorrow.
• Guide key application developers, contribute directly to the applications, develop reference codes or libraries.
• Create and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
• Join efforts with diverse groups at NVIDIA such as the architecture, research, libraries, tools, system software, and product management teams to constantly improve our platform.
• Influence the design of next-generation architectures, software stack, and programming models, by investigating the impact on application performance and developer productivity.

What we need to see:

• A BS, MS, or PhD degree in computer science or in engineering or a domain science with a strong focus on the related computational methods or equivalent experience with 10+ years of experience.
• Strong knowledge of C/C++ and/or Fortran with solid understanding in software design, programming techniques, and algorithms.
• Hands‑on experience with parallel programming, e.g., in MPI, OpenMP, CUDA, and/or OpenACC.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
• Fluency in French, French citizenship.

With highly competitive salaries, a comprehensive benefits package, and a great company culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward‑thinking and hardworking people in the world and our engineering teams are rapidly growing. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.