Solutions Delivery Engineer - Network Cloud AI





Preferred location: West Coast. Other US locations will be considered for strongly qualified candidates.


At Drivenets, we pride ourselves on being at the forefront of cutting-edge technology solutions. We are a leader in cloud-native networking software for hyper scalers and service providers who are building the largest infrastructures in the world for network services. Our software is now deployed in half of AT&T’s backbone. As a leading innovator in the industry, we are dedicated to creating cloud-native, scalable, high-performance computing solutions for hyper scalers and service providers who are building the largest infrastructures to enable cloud-native workloads and empower low-latency applications, AI platforms, and SaaS offerings. We seek a highly skilled and motivated Solutions Delivery Engineer to join our team and play a pivotal role in designing, implementing, and optimizing our AI networking solutions for large-scale data center fabric environments.

Led by tech entrepreneur Ido Susan, Drivenets has raised $587 million in three funding rounds which enable us to dream big and bring on the most talented people in 17 Countries.

The Role

As a Solutions Delivery Engineer - AI Networking and High-Performance Computing, you will be responsible for architecting, deploying, and supporting our state-of-the-art AI GPU cluster solutions, focused on high-scale data center fabric for cloud-native workloads and low-latency applications. You will collaborate with cross-functional teams to design and deliver comprehensive network infrastructure solutions tailored to our client's unique needs. Your technical expertise, problem-solving skills, and passion for technology will be essential as you address complex challenges and ensure seamless customer experiences.

Key Responsibilities 

Solution Design and Implementation: 

  • Collaborate with customers and internal stakeholders to understand their requirements and design custom AI networking solutions, focusing on high-performance computing and GPU clusters. 
  • Develop network architecture and deployment strategies for high-speed and scalable data center fabrics to support cloud-native workloads and low-latency applications. 

AI Networking Expertise: 

  • Demonstrate in-depth knowledge of networking protocols and technologies relevant to AI workloads, such as RDMA, RoCE, InfiniBand, VXLAN, EVPN, and others. 
  • Working knowledge in flow control methods for Lossless fabric such as ECN, PFC, EQDS, and others. 
  • Analyze and optimize network performance to ensure low-latency and high-throughput capabilities critical for AI applications. 

Cloud-Native Solutions: 

  • Analyze customer data and utilize AI technology to identify trends and opportunities for improvement. 
  • Manage and track project progress and deadlines. 
  • Stay up-to-date with the latest trends and best practices in cloud-native networking, microservices, container orchestration platforms, etc. 

Technical Support and Troubleshooting: 

  • Provide hands-on customer support during the deployment phase and address any technical issues that arise promptly and effectively. 
  • Collaborate with the engineering team to resolve complex technical problems and implement solutions. 

Documentation and Training: 

  • Create comprehensive technical documentation for deployed solutions, best practices, and troubleshooting guidelines. 
  • Conduct training sessions for customers and internal teams to ensure a smooth transition to the new solutions. 



  • Master’s or Bachelor's degree with relevant experience in Computer Science, Electrical Engineering, or a related field (or equivalent experience). 
  • Minimum of 5 years of network engineering experience, focusing on AI networking, high-performance computing, and large-scale data center fabric solutions. 
  • Strong networking protocols and technologies knowledge, including Layer 1/2/3 switching and routing, ARP, BGP, ISIS, LACP, etc. 
  • Experience in deploying and optimizing high-performance computing clusters, AI GPU clusters, and cloud-native workloads. 
  • Expertise in Linux administration and network virtualization concepts. 
  • Networking and Linux Certifications such as CCNA/CCIE, JNCIE, RHCE 
  • Excellent verbal and written communication skills in English. 
  • Strong problem-solving abilities, adaptability, and a positive, team-oriented attitude. 

 This position will require at least 20% travel. 

Join us at Drivenets if you are interested in joining a Pre IPO company where you will have the opportunity to work with a dynamic team of passionate individuals, shape the future of AI networking, and disrupt the networking industry. If you are a highly motivated, self-driven individual with a real passion for cutting-edge solutions, we would love to hear from you! 

If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.

DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

More About DriveNets

Based in Israel with locations in Romania, US and Japan as well as extended teams, DriveNets operations cover more than 17 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website: