Cornelis Networks

Performance Marketing

• Plan, execute, and optimize integrated campaigns across direct and indirect channels, including OEM and partner co-marketing programs
• Own paid media planning and execution, including agency management, budget allocation, and channel mix
• Build and run nurture programs that move leads through the funnel
• Own the webinar program end to end, from topic and speaker selection through promotion, delivery, and follow-up
• Manage campaign calendars and coordinate across content, digital, product marketing, and field teams
• Build repeatable campaign playbooks and scalable processes
• Build and own the marketing and GTM operating system, including automated lead and conversion tracking
• Own and manage the ABM platform and run ABM waves aligned to target accounts, sales priorities, and pipeline goals
• Build and maintain KPI scorecards for marketing and GTM performance
• Design and run survey waves tracking brand awareness, buyer perception, and market positioning
• Build and maintain attribution models connecting campaign activity to pipeline and revenue outcomes
• Run recurring answer-engine audits and turn findings into content and SEO priorities
• Partner with sales operations to maintain clean and actionable lead and opportunity data
• Own SDR alignment, including lead routing, scoring, and outbound sequences
• Build and manage channel marketing programs for OEM and partner sellers
• Partner with the CMO and CRO to translate objectives into executable operational plans
• Align marketing programs and targeting with direct enterprise, OEM, and channel partner sales priorities
• Support planning and reporting for pipeline growth targets

Campaign and Marketing Operations Manager

Support Engineer

• Provide professional, high-quality customer support for Cornelis Networks products
• Take technical ownership of user-reported issues and drive diagnosis and resolution
• Manage incoming customer support issues via email, portal postings, or phone calls
• Escalate issues according to documented procedures
• Periodically support off-hours on-call activities
• Partner cross-functionally with technical staff to identify and resolve issues
• Support OEMs and system integrators with new cluster installation and acceptance
• Provide remote or on-site support as needed
• Ensure customer readiness for product updates and understand their impacts
• Provide input for upgrade and early-capability materials and documentation
• Advocate for customers during product planning and sustaining periods

High Performance Networking Technical Support Engineer – EMEA

Manager

• Build, lead, mentor, and grow a high-performing System Validation team
• Develop software validation plans and strategies based on functional requirements
• Define and oversee validation activities across the software development lifecycle
• Conduct manual exploratory testing and develop automated regression test suites
• Design, develop, maintain, and enhance automated test frameworks and validation infrastructure
• Configure and maintain continuous integration systems
• Monitor test results and drive timely triage of validation failures
• Troubleshoot and resolve issues across system, network, hardware, and software layers
• Establish validation processes, metrics, dashboards, and reporting
• Document validation plans, test procedures, execution results, and release readiness
• Partner with hardware, firmware, software, and product engineering teams to resolve defects
• Drive continuous improvements in validation methodologies, automation, tooling, and best practices
• Support product qualification efforts, customer deployments, and product releases

System Validation Manager

Platform Engineer

• Own the AI Platform: Own the configuration, tooling, and infrastructure that gives every Cornelis engineer a private, domain-aware AI assistant. Keep it current, reliable, and tuned to the specific technical domains our engineers work in - not generic web development tasks, but low-level systems work: drivers, firmware, ASIC register maps, hardware/software integration.
• Build Out the Agent Workforce: Design, implement, and improve a growing workforce of autonomous agents that automate engineering operations. Each new agent you build becomes a permanent part of how the engineering organization operates. The backlog of planned agents is substantial and the opportunity to shape what gets built and how is real.
• Design and Implement New Agents: Take agents from concept to production: FastAPI REST API, CLI interface, and chat integration. Work with engineering teams to identify the highest-value automation opportunities, define the agent's behavior, and build it to the platform's standards - deterministic where possible, LLM-powered where it adds real value, and cost-conscious throughout.
• Maintain and Improve the Infrastructure: Keep the platform running reliably: containerized services on Linux, reverse proxies, systemd timers, PostgreSQL and Redis, secrets management, and enterprise integrations with GitHub, Jira, Confluence, and Microsoft Teams.
• Write and Improve Agent Skills and Prompt Engineering: Author and tune the structured workflows and system instructions that make AI agents useful for deep engineering work. Design agents that are reliable and grounded - not impressive in a demo but wrong in production.
• Build CI/CD Validation Pipelines: Build and maintain automated validation that catches bad configurations, leaked credentials, and broken agent contracts before they land.
• Manage Cost and Value Across the Platform: Track what the platform costs and what it delivers. Make deliberate decisions about model selection, token usage, and when AI is the right tool versus when deterministic code is cheaper and more reliable.
• Track the AI Landscape and Keep the Platform Current: Evaluate what matters, adopt what improves the platform, and upgrade before the team falls behind.

AI Platform Engineer

Network Engineer

• Define and drive the end-to-end architecture for next-generation AI and HPC networking products, spanning hardware, firmware, software, and system integration.
• Lead cross-functional architecture efforts across ASIC, FPGA, software, firmware, networking, and platform engineering teams to deliver scalable, high-performance solutions.
• Design high-bandwidth, low-latency data movement architectures utilizing PCIe, RDMA, DMA engines, SmartNIC technologies, and high-speed Ethernet fabrics.
• Drive hardware/software co-design to optimize networking, compute, memory, and accelerator subsystems for maximum throughput, efficiency, and deterministic latency.
• Partner with ASIC and FPGA teams to define interfaces, system architecture, and integration strategies across next-generation networking platforms.
• Collaborate with Linux software teams on kernel drivers, userspace networking, performance optimization, and low-latency communication technologies.
• Evaluate emerging technologies including CXL, SmartNICs, advanced interconnects, hardware accelerators, and AI infrastructure to influence future product roadmaps.
• Work directly with customers, solutions architects, and product management to translate technical requirements into scalable architectural solutions.
• Mentor senior engineers and architects while providing technical leadership across multiple engineering organizations.
• Contribute to long-term product strategy, technology direction, and architectural standards for future Cornelis Networks networking solutions.

Principal Network Architect

Mechanical Engineer

• Own ASIC RTL delivery schedules across major milestones by tracking, monitoring, and reporting progress against committed plans
• Utilize data-driven insights to predict schedule risks and proactively reallocate human resources to keep the project on track
• Align RTL delivery schedules with DV and emulation enablement and manage feedback loops and dependencies efficiently
• Facilitate physical design handoffs by ensuring design teams provide high-quality RTL and constraints that minimize timing-closure iterations
• Track physical design feedback and delivery schedules to support physical design signoff and tape-out milestones
• Lead long-term headcount planning and organizational design for the ASIC department
• Identify skill gaps and execute global talent acquisition strategies that support the product roadmap

Senior Manager, ASIC Design Engineering

AI Engineer

• Design & Optimize Device Drivers: Develop, maintain, and upstream the open-source `hfi1` kernel driver and related subsystems (such as InfiniBand verbs and RDMA core).
• Hardware-Software Co-Design: Partner closely with silicon architects and hardware developers to define register interfaces, MMIO pathways, command queues, and hardware-software contracts.
• Develop Zero-Copy Data Paths: Design and optimize low-latency, high-throughput DMA and RDMA transport engines, minimizing buffer copies and maximizing CPU-bypass capabilities.
• Debug Complex Kernel Concurrency: Identify and resolve intricate kernel-space race conditions, deadlocks, and memory issues under heavy multi-threaded, asynchronous networking workloads.
• Upstream & Community Engagement: Actively submit patches, participate in code reviews, and represent Cornelis within the Linux Kernel Mailing List (LKML) and open-source networking communities.
• Package & Build Automation: Maintain and optimize system build environments, kernel-module packages (DKMS, RPM, Kbuild), and automated integration tests.

Senior Linux Kernel Engineer – HPC/AI Fabrics

• Implementation of the advanced ethernet protocols for the next generation ethernet ASICs
• Write micro architecture specifications
• Pre-silicon: Define timing constraints for the RTL block and work with Physical Design engineers for timing optimization
• Pre-silicon: Work with the verification engineers to create block/system level test plans and ensure that the design is adequately covered
• Post-silicon: Work with hardware/firmware/software engineers to resolve ASIC issues