Senior Software Architect - Deep Learning and HPC Communications

NVIDIA; Horgenzell; Vor Ort; EUR 50.000 - 88.000; Vollzeit

Zusammenfassung

A leading technology company based in Horgenzell, Germany is seeking a Senior Software Architect to improve communication technologies for AI and HPC workloads. The ideal candidate will have a M.S./Ph.D. in Computer Science and extensive experience with C/C++, parallel programming, and network architecture. This role involves investigating performance issues, designing innovations, and working collaboratively in a multi-national environment. Competitive salary and benefits are offered, promoting diversity and inclusion.

Leistungen

Highly competitive salary

Extensive benefits package

Diversity and inclusion practices

Qualifikationen

• 3+ years of relevant experience.
• Deep understanding of operating systems and architecture.
• Solid fundamentals in network architecture relevant to AI and HPC.

Aufgaben

• Investigate performance bottlenecks in GPU communication.
• Design and implement new communication technologies.
• Conduct experiments and quantitative modeling for innovations.

Kenntnisse

C/C++ programming and debugging

Parallel programming models (MPI, SHMEM)

Linux

Communication runtime experience (NCCL, NVSHMEM)

Ausbildung

M.S./Ph.D. in Computer Science or Computer Engineering

Jobbeschreibung

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars.

What we are seeking:

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.

DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision?

What you will be doing:

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.
• Design and implement new communication technologies to accelerate AI and HPC workloads.
• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
• Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.
• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).

What we need to see:

• M.S./Ph.D. degree in CS/CE or equivalent experience.
• 3+ years of relevant experience.
• Excellent C/C++ programming and debugging skills.
• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
• Deep understanding of operating systems, computer and system architecture.
• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.
• Strong experience with Linux.
• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.
• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 213,750 PLN - 370,500 PLN for Level 3, and 281,250 PLN - 487,500 PLN for Level 4.