Senior Solutions Engineer, AI/HPC Networking

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop resilient AI/HPC infrastructure for both new and existing clients.

• Engage directly with platforms based on NVIDIA and AMD technology.

• Address operational and reliability concerns of large-scale AI clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.

• Manage Linux systems, ranging from GPU-enabled servers to general-purpose computing environments.

• Create and strategize rack layouts and network configurations tailored to client specifications.

• Design and assess automation scripts for network operations, and set up server and switch fabrics.

• Execute data center upgrades and facilitate the seamless deployment of DriveNets solutions.

• Install and configure DriveNets products to ensure optimal performance and customer satisfaction.

• Sustain live services by evaluating and monitoring availability, latency, and overall system health.

• Enhance the complete service lifecycle from conception and design through deployment, operation, and improvement.

• Provide insights to internal teams by reporting bugs, documenting workarounds, and proposing enhancements.

• Collaborate with sales teams and customers on significant opportunities and deployments.

• Present new products to DriveNets sales and support teams as well as customers.

• Conduct technical training sessions and TOIs for support and sales engineers, partners, and customers.

• Work together on product definition by gathering customer requirements and planning the roadmap.

⛳️ Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering discipline, or equivalent experience.

• Over 3 years of experience in network engineering (system/solution).

• More than 3 years of experience in solution architecture/sales engineering, or equivalent, with a vendor, value-added reseller, or system integrator.

• Technical proficiency in data center or high-end enterprise network design, including BGP, EVPN, VXLAN, QoS, and Multicast.

• Expertise in data center design, encompassing networking, compute, and storage.

• Capability to produce extensive technical documentation for external audiences, such as white papers and technical briefs.

• Aptitude for multitasking effectively in a dynamic environment.

• Ability to collaborate with teams located across different geographical areas.

• Strong written and verbal communication skills.

• Competence in collaborating efficiently with executives and engineering teams.

• Willingness to travel domestically and internationally up to 20% of the time.

• Familiarity with AI-related data center infrastructure and networking technologies, including InfiniBand, RoCEv2, PFC, ECN, accelerated computing, GPUs, NICs, and DPUs.

• Understanding of AI/HPC networking infrastructure solutions and high-speed interconnect technologies.

• Knowledge of scale-up technologies such as NVLink and UALink.

• Familiarity with scale-out Ethernet and Enhanced Ethernet technologies, InfiniBand, backend storage connectivity, and the fundamentals of data center operations.

• Knowledge of monitoring tools like Prometheus, Grafana, and ELK Stack.

• Acquaintance with telemetry technologies such as gRPC, gNMI, and OTLP.

• Proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP, or OCI) or emerging NeoClouds.

• Background in cloud-native architectures and software.

🏝️ Benefits

• Flexible remote work arrangement.

• Opportunities for travel to customer locations.

• Chance to work with AI/HPC networking infrastructure and NVIDIA/AMD platforms.

• Exposure to large-scale AI infrastructure, hyperscalers, NeoClouds, and enterprise deployments.

• Opportunities for international and cross-functional collaboration.

• Professional involvement in technical training, product launches, and roadmap planning.