Senior Manager, AI Network Infrastructure
7 days ago
ROLES AND RESPONSIBILITIES
As the Senior Manager of AI Network Infrastructure at Firmus, you will lead a specialised network team while also contributing directly to the design and implementation of highly scalable physical networks for AI systems. Your role is crucial in building in-house expertise and establishing a centre of excellence, elevating the knowledge of adjacent teams and field technicians.
This role offers a unique opportunity to shape the future of AI network infrastructure at Firmus, combining hands-on technical expertise with strategic leadership. The ideal candidate will be passionate about pushing the boundaries of network performance for AI systems while building a strong team and knowledge base within the organisation.
KEY RESPONSIBILITIES
- Team Leadership: Manage and mentor a small, specialised team of network engineers, fostering a culture of innovation and continuous learning.
- Network Design & Implementation: Architect and build highly scalable physical networks optimised for AI workloads, ensuring performance, reliability, and scalability. Being physically present on-site for key deployments and commissioning as resident expert is a requirement of this role.
- Technology Expertise: Maintain and expand deep technical knowledge of advanced networking technologies including NVIDIA InfiniBand, Spectrum Ethernet Platform, and RDMA over Converged Ethernet (RoCE).
- Knowledge Development: Establish and grow a centre of excellence for AI network infrastructure at Firmus, developing best practices and documentation.
- Cross-functional Collaboration: Work closely with Firmus Technology and Sales teams in both Engineering & Technology and Cloud Architecture & Infrastructure to align network infrastructure with evolving AI requirements of our customers.
- Training and Upskilling: Develop and deliver training programs to elevate the knowledge of adjacent teams and field technicians in AI networking technologies.
- Performance Optimisation: Continuously monitor and optimise network performance for AI workloads, implementing cutting-edge solutions to enhance efficiency.
- Partner Management: Maintain and build strong relationships with key technology partners and vendors to stay at the forefront of networking advancements.
SKILLS AND EXPERIENCE
- 12+ years of working experience in network engineering, with at least 3 years focused on high performance computing or AI infrastructure.
- Proven experience managing technical teams and mentoring junior engineers.
- Deep practical knowledge of NVIDIA InfiniBand, Spectrum Ethernet Platform, ConnectX NICs, BlueField DPUs, and related software.
- Expertise in RDMA over Converged Ethernet (RoCE) and other high performance networking protocols.
- Strong understanding of AI workloads and their unique networking requirements.
- Excellent problem-solving skills and ability to troubleshoot complex network issues.
- Outstanding communication skills, with the ability to explain complex technical concepts to diverse audiences.
KEY COMPETENCIES
- Technical Proficiency: In-depth knowledge of high-performance networking technologies, including InfiniBand and advanced Ethernet systems.
- AI Infrastructure Understanding: Familiarity with AI workloads and their network requirements, including distributed training and inference.
- Project Management: Ability to lead complex network infrastructure projects from conception to implementation.
- Leadership: Proven track record of leading and developing high performing technical teams.
- Strategic Thinking: Capacity to develop long-term strategies for AI network infrastructure evolution.
- Continuous Learning: Commitment to staying updated with the latest advancements in AI networking technologies.
Tell employers what skills you have
Leadership
Network Engineering
Scalability
Architect
Reliability
Network Design
Project Management
Team Leadership
Networking
High Performance Computing
Ethernet
Partner Management
Commissioning
Firewalls
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