DriveNets

Artificial Intelligence

• Own technical architecture for complex, high-value customer opportunities spanning AI/HPC GPU and accelerator compute cluster design, workload performance, and the compute-to-network interface
• Partner with Sales and Solutions Architects from early discovery through deal closure
• Lead proof-of-concept design and execution
• Define proof-of-concept success criteria and GPU cluster benchmarking plans for training/inference throughput and scaling efficiency
• Communicate proof-of-concept results with rigor and clarity to customers
• Engage with ML infrastructure leads, compute architects, and C-level stakeholders at hyperscalers, NeoClouds, service providers, and large enterprises
• Capture field insights on GPU/accelerator platform trends and workload behavior
• Translate field insights into requirements for Product Management and Engineering
• Define and publish architecture playbooks, reference designs, and best practices for AI compute infrastructure
• Lead and mentor Solutions Architects and Solutions Engineers
• Represent DriveNets at industry events
• Author white papers and technical blogs
• Build DriveNets' external technical brand in AI compute infrastructure

Principal Technologist – AI Compute

Solutions Engineer

• Design and plan rack layouts and network topologies based on customer requirements
• Perform data center upgrades and ensure smooth deployment of DriveNets solutions
• Install and configure DriveNets products for optimal performance and customer satisfaction
• Design and implement proof-of-concept lab setups, run them, and collect and document results for field use
• Develop and deliver high-level and low-level design documentation for customer deployments
• Design and evaluate automation scripts for network operations, configuring server and switch fabrics
• Engage with sales teams and customers to support major opportunities and deployments
• Introduce new products to DriveNets sales, support teams, partners, and customers
• Deliver technical training and technology overviews for support and sales engineers, partners, and customers
• Collaborate on product definition through customer requirement gathering and roadmap planning
• Collaborate with sales engineering, customers, Product Management, Solution Architects, Engineering, and Marketing teams
• Provide technical leadership and feedback to improve DriveNets product offerings

Senior Solution Engineer – AI/HPC Network Engineering

Description
Location: US
WFH-Remote role with travel to customers
#LI-Remote
DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. 
What you’ll be doing:

- Building robust AI/HPC infrastructure for new and existing customers.

- Technical hands-on role in building and supporting NVIDIA/AMD based platforms.

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

- Administer Linux systems, ranging from powerful GPU enabled servers to general-purpose compute systems.

- Design and plan rack layouts and network topologies to support customer requirements.

- Design and evaluate automation scripts for network operations, configuring server and switch fabrics.

- Perform Data Center upgrades and ensure smooth deployment of DriveNets solutions.

- Install and configure DriveNets products, ensuring optimal performance and customer satisfaction.

- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

- Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement.

- Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

- Engage with sales teams and customers to ensure success with major opportunities and deployments

- Introduce new products to the DriveNets’ sales and support teams and to DriveNets’ 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

- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.

- 3+ years of network engineering (system/solution) experience.

- 3+ years of solution architecture/sales engineering experience, or equivalent, working for a vendor, value-added reseller, or system integrator.

- Technical expertise in Data Center or high-end enterprise network design (e.g. BGP, EVPN, VXLAN, QoS, Multicast)

- · Expertise with datacenter design, including networking, compute, and storage. 

- · Ability to write extensive technical content (white papers, technical briefs, etc.) for external audiences with a balance of technical accuracy, strategy, and clear messaging

- Ability to multitask efficiently in a multifaceted environment, ability to work with teams across geographical locations.

- Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams.

- Ability to travel domestic and international up to 20% of the time.

- Be Kind!

 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, NIC, DPU, etc.

- Understanding of AI/HPC networking infrastructure solutions, their advantages and disadvantages (AI/HPC networking design, high-speed interconnect technologies)

- Scale-up – NVLink, UALink, etc

- Scale-out – Ethernet and Enhanced Ethernet (Scheduled Ethernet, dynamic load balancing and adaptive routing, Spectrum-X, UEC, etc), InfiniBand

- Backend storage connectivity 

- 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, as well as cloud-native architectures and software.

More About DriveNets
 Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: 
https://drivenets.com/company/

Senior Solutions Engineer, AI/HPC Networking

Architect

• Own end-to-end system architecture across routing, switching, timing, and synchronization platforms
• Define and maintain system-level functional specifications and engineering requirements documents covering hardware-software interfaces, thermal, mechanical, power, and performance constraints
• Evaluate and drive platform-level trade-offs such as performance versus power and scalability versus complexity
• Collaborate with hardware design, software architecture, thermal, and mechanical teams on system integration
• Define CPU selection, boot methodologies, firmware upgrades, and IC programming
• Act as technical authority on system behavior, network feature interaction, and platform compatibility across ASIC vendors
• Drive design reviews and provide input on system-level implications and interactions
• Develop platform requirement specifications, interface control documents, test coverage matrices, thermal analysis reports, power budgets, and system bring-up guides
• Create and maintain implementation-ready specifications for hardware, software, validation, and operations teams
• Analyze and approve cooling methods and thermal design requirements
• Analyze power distribution planning and integration with PSU and voltage regulator designs
• Work closely with mechanical engineering
• Define system-level test plans, platform qualification strategies, and test automation coverage
• Review and approve test, debug, and validation reports
• Participate in platform bring-up and hardware/software root cause analysis

System Architect

Full-stack Engineer

• Develop, integrate, and maintain BSP components, including bootloaders (e.g., U-Boot), device trees, and hardware abstraction layers
• Design and implement firmware and low-level drivers for network-centric hardware platforms such as ASICs, NICs, SoCs, CPLDs, and FPGAs
• Support hardware bring-up and board validation in collaboration with hardware engineers and system integrators
• Optimize performance, debug, and improve the stability of system software on embedded Linux platforms
• Interface with third-party SDKs and adapt them to DriveNets’ software infrastructure
• Ensure compliance with industry standards and best practices for networking and embedded systems
• Work closely with hardware, platform, and system architects to bring up new hardware platforms and support advanced network functionalities in high-performance environments

Software Engineer – BSP, Firmware

QA Engineer

• Own end-to-end test strategy and execution across the DriveNets Application Platform
• Translate features and epics into complete E2E test plans tracing requirements and acceptance criteria to concrete tests
• Matrix-lead developers, system architects, product, and other stakeholders around risk, coverage, and definition of done
• Design and execute REST/gRPC API and workflow-engine tests, including dynamic task addition, orchestration, and state transitions
• Validate provisioning flows from UI/CMS edits and configuration-template rendering through application on target network elements
• Confirm on-device before/after configuration state
• Build automated contract-validation, regression, and critical-path suites
• Design negative and failure-mode tests
• Identify, reproduce, document, and track defects with reproducible reports and logs, payloads, and on-device evidence
• Drive defects to verified closure
• Present test plans, risks, and results in slides and live walkthroughs
• Direct AI agents such as Cursor, Claude, and agentic subagents to author test plans, generate and execute tests, and triage failures

Principal Technologist – AI Compute

Senior Solution Engineer – AI/HPC Network Engineering

Senior Solutions Engineer, AI/HPC Networking

System Architect

Software Engineer – BSP, Firmware

QA Engineer – E2E