Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 3
Ansible @ 5
Go @ 5
Grafana @ 3
Prometheus @ 3
Python @ 5
Machine Learning @ 6
Leadership @ 3
Networking @ 3
Technical Leadership @ 3
GPU @ 3
Deep Learning @ 3
AI @ 3
InfiniBand @ 3
HPC @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. This role is a technical leadership position responsible for developing and validating next-generation NVIDIA AI supercomputing systems, enabling large-scale AI and HPC deployments, collaborating with partners and customers, and working across distributed teams in a remote-friendly environment.
Responsibilities
- Lead a team developing next-generation system designs and integrating new compute, networking, storage, and software systems.
- Build and support a platform for software development, systems automation, and performance engineering.
- Develop tooling and documentation to support the development of large-scale supercomputing systems for AI and HPC both inside and outside NVIDIA.
- Work closely with teams throughout the company on the cluster architecture, at-scale bringup, and integration of new technologies and products.
- Collaborate closely with partners and customers to support deployment and validation of clusters based on NVIDIA reference architectures.
Requirements
- BS in Applied Science or Engineering (Masters or PhD preferred) or equivalent experience.
- 8+ years overall experience in high-performance computing or machine learning fields, including 3+ years of technical leadership experience.
- Proven ability to lead high-performing engineering teams, especially across distributed groups with diverse expertise.
- Proficiency in software development and system automation with languages such as Go, Python, or Ansible.
- Creative problem-solver with excellent teamwork and collaboration skills.
- Ability to work as part of a large, diverse team in a remote-friendly environment.
Ways to Stand Out
- Experience leading teams building HPC compute and storage systems in a research environment at large scale.
- Well-developed knowledge of deep learning applications, including multi-GPU and multi-node training and inference workloads.
- Expertise with high-performance datacenter networking such as InfiniBand and RoCE.
- Expertise with open-source monitoring technologies such as Prometheus and Grafana.
- Proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth.
Compensation & Benefits
- Base salary range: 224,000 USD - 356,500 USD (final base determined by location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits (see NVIDIA benefits pages referenced in the posting).
Other Details
- Applications for this job will be accepted at least until February 23, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.