As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.
Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.
Responsibilities:
Design and plan rack layouts and network topologies to support customer requirements.
Perform Data Center upgrades and ensure smooth deployment of our solutions.
Install and configure our products, ensuring optimal performance and customer satisfaction.
Design and implement compelling Proof of Concept lab setups, run them, and collect and document the results for the field consumption.
Develop and deliver HLD and LLD documentation for customer deployments.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Engage with sales teams and customers to ensure success with major opportunities and deployments.
Introduce new products to the sales and support teams and to customers.
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers.
Collaborate on product definition through customer requirement gathering and roadmap planning.
Requirements: Requirements:
Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
5+ years of experience in system administration, networking, or related fields.
Technical expertise in Data Center or high-end enterprise network design (e.g. BGP, EVPN, QoS, Multicast)
Experience in building lab demo or POC installations composed of products and tools from multiple vendors
Hands-on experience with Python and configuration management tools (e.g., Ansible).
Hands-on with excellent troubleshooting skills
Ability to write extensive technical content (white papers, technical briefs, test reports, etc.) for external audiences with a balance of technical accuracy, strategy, and clear messaging
Ability to travel Domestic and international up to 20% of the time
Ways to stand out from the crowd:
Familiarity with AI-relevant data center infrastructure and networking technologies such as: Infiniband, RoCEv2, lossless Ethernet technologies (PFC, ECN, etc), accelerated computing, GPU, DPU, etc.
Understanding of AI/HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.
Understanding of data center operations fundamentals in networking, cooling, and power
Familiarity with monitoring tools (e.g., Prometheus, Grafana, ELK Stack) and Telemetry (gRPC, gNMI, OTLP, etc).
Proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) or emerging Neoclouds, and cloud-native architectures and software.
Expertise with parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, Ethernet).
This position is open to all candidates.