Senior Solutions Architect

Firmus TechnologiesSan Francisco, CA
Onsite

About The Position

Firmus Technologies is a global leader in AI infrastructure, focusing on efficient AI development and operation from model to grid. Founded in 2019, the company's mission is to create the most efficient AI infrastructure by integrating cutting-edge technology with a strong commitment to sustainability. Firmus distinguishes itself by designing, building, and operating a new category of digital infrastructure called the AI Factory. Their model-to-grid technology approach has advanced liquid cooling systems, energy management, AI software orchestration, and construction, ensuring optimal energy usage and low-cost AI tokens globally. The Firmus AI Cloud is a large-scale GPU cloud platform designed for energy-efficient AI compute, serving developers, enterprises, educational institutions, and government users. The company fosters a fast-paced environment at the intersection of sustainability and AI, offering opportunities to work closely with founders, build a strong network, and witness the impact of democratizing AI tools.

Requirements

  • Bachelor’s Degree in Computer Science, Engineering, or a related field.
  • 8+ years of working experience in IT infrastructure, with at least 3+ years focused on AI or high-performance computing systems.
  • Extensive experience in designing and implementing AI infrastructure solutions.
  • Deep understanding of high-performance computing and AI workloads.
  • Proficiency in architecting solutions using NVIDIA InfiniBand, Spectrum Ethernet Platform, and related technologies.
  • Proficiency in programming languages relevant to AL and ML, such as Python, C++, and familiarity with AI frameworks like TensorFlow, PyTorch.
  • Solid experience with cloud architectures and services, particularly in GPU-accelerated computing environments.
  • Strong problem-solving skills and ability to troubleshoot complex infrastructure issues.
  • Demonstrated ability to design scalable and sustainable AI solutions, with a track record of successful customer engagements, project deliveries and implementations.

Responsibilities

  • Architect scalable and high-performance AI infrastructure solutions tailored to customer needs.
  • Work with internal Firmus Engineering and Technology teams to develop detailed technical specifications and implementation plans for AI clusters.
  • Optimise designs for performance, reliability, and cost-effectiveness.
  • Collaborate closely with global sales teams, providing deep technical expertise during the sales cycle to address customer requirements and challenges.
  • Identify relevant technology capability gaps in the platform which impact service delivery.
  • Collaborate closely with customers to understand their AI requirements and objectives.
  • Support the Firmus Sales Function to ensure successful closure of RFPs, Proposals and service contracts.
  • Develop effective SLAs in collaboration with Sales and Operations, Engineering teams to ensure successful service delivery.
  • Provide expert guidance on AI infrastructure best practices and emerging technologies.
  • Present complex technical concepts to both technical and non-technical stakeholders.
  • Lead AI infrastructure projects from conceptualisation to implementation.
  • Assist with the successful deployment and integration of AI solutions, guiding customers through the implementation process and optimising their AI infrastructure for peak performance.
  • Coordinate with cross-functional teams to ensure seamless integration of AI solutions.
  • Experienced in working with and presenting to C-level stakeholders.
  • Understanding Training and Inference requirements of customers and their used cases.
  • Provide technical mentorship to junior team members.
  • Maintain in-depth knowledge of advanced networking technologies, including NVIDIA InfiniBand, Spectrum Ethernet Platform, and RDMA over Converged Ethernet (RoCE).
  • Working knowledge of AI accelerator hardware, software, and infrastructure components (NVIDIA CPU-GPU architectures, AMD Instinct-based accelerators, Intel Gaudi amongst others).
  • Understand and leverage AI-specific technologies such as NVIDIA ConnectX NICs and BlueField DPUs.
  • Stay at the forefront of AI technology trends, advocating for our AI solutions and educating customers and partners on its benefits and applications.
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