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We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software.

Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products.

What you'll be doing:

Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products.

Work with our Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with our Networking products.

Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution.

Bring independent analysis, communication, and problem-solving to customer experience.

Collaborate with engineering to document, recreate and solve issues.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
we are building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs.
We are looking for an AI Platform Engineer to help build the infrastructure that powers high-throughput, low-latency AI security decisions in production.
You will work on a runtime engine that combines GPU-based models, from MMBERT-style models to LLMs, with CPU-based heuristics and security logic, optimized for scale, performance, reliability, and real-time execution. This is a versatile engineering role that spans AI runtime infrastructure, high-performance backend development, GPU inference, model lifecycle, and close collaboration with research teams to bring AI security algorithms into production.
Responsibilities
Build our companys AI security runtime platform for high-throughput, low-latency production serving.
Develop infrastructure for model serving, multi-model orchestration, and inline decision flows.
Optimize inference performance: batching, caching, streaming, GPU utilization, memory usage, and runtime acceleration.
Build backend orchestration and performance-critical services in Go.
Support the model lifecycle: registry integration, packaging, versioning, deployment, monitoring, and operational health.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.

We are looking for a passionate Senior Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation NIC and Switch simulation, works closely with other SW R&D teams and SW Architects.


What you will be doing:

Design and develop advanced features simulating our world class Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding and end-to-end systems thinking. Your insights will directly shape our products across the full stack-from applications and software libraries to hardware architecture and physical design.

What You'll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.

Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
What You Will Do:
End-to-End Ownership: You will take full ownership of the software lifecycle-from architectural design and backend coding to automated deployment and production monitoring. You will champion a 'You Build It, You Run It' culture, ensuring the high availability and observability of our multi-tenant SaaS environment.
Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry.
Full-Stack Delivery: Seamlessly transition to front-end development (React) when required, ensuring the backend infrastructure connects smoothly to a streamlined and user-friendly web client.

Required System QA Engineer
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
The Mission:
Your role is to ensure the operational stability and resilience of the Applications Ecosystem, encompassing National C2, MSC2, and Edge C2 platforms. You will rigorously test the seams where these distributed systems integrate. You are expected to execute with precision, learn the architecture deeply from the ground up, and evolve into the Domain Expert
for our multi-tiered command and control system. Critically, you will champion a "Shift-Left" quality approach: preventing defects during the design and planning phases rather than merely catching them after development is complete.
Core Responsibilities
Actively participate in Product Requirements(PRD), High-Level (HLD) reviews to enforce system testability before code is written.
Execute and automate comprehensive test plans across Edge C2 nodes, MSC2 instances, and National C2 cloud environments.
Validate complex data flows and state synchronization across geographically distributed components.
Simulate degraded network conditions, forced disconnects, and VPN tunnel collapses to validate system recovery and data integrity.
Isolate integration breakdowns between Web Applications and backend microservices.
Analyze complex system logs using modern observability tools to provide developers with exact root-cause indicators and precise reproduction steps.
Integrate automated test suites into the CI/CD pipeline to ensure continuous validation.
Maintain clear, artifact-based documentation of test coverage, system behavior, and defect tracking.

Our Product Engineering group is looking for a highly motivated Hardware Engineer to lead Change Impact Analysis activities related to engineering design changes (ECOs/ECRs) across our cutting-edge networking and computing platforms. This role is critical to ensuring that all product modifications are seamlessly evaluated for their impact on hardware, mechanical design, system performance, and test coverage across the product lifecycle. You will work closely with R&D, mechanical engineering, manufacturing, quality, and test teams to assess risks, define mitigations, and maintain excellence in product integrity and testability.


What Youll Be Doing:

Review and define impact of engineering change ECO/ECR) across complex hardware systems.

Evaluating the impact of component, layout, and mechanical changes on hardware functionality, manufacturability, and testability.

Define alternative sources of components for products and products test stations.

Collaborating with cross-functional teams to ensure smooth implementation of changes without compromising product quality.

Supporting DFT (Design for Testability) requirements in the face of ongoing design changes.

Reviewing BOM and layout revisions and assessing ripple effects on power delivery, signal integrity, and thermal performance.

Maintaining change traceability and documentation to meet engineering and compliance standards.

Coordinating with manufacturing and operations teams to ensure product readiness and alignment with production timelines.

We are looking for an experienced system engineer to participate and lead the development of a radio-based drone detection and mitigation system as part of the company products.
Responsibilities:
Lead features and platforms from ideas to releases.
Guide and participate in the research and analysis of both proprietary and standard radio communication
protocols.
Develop and optimize algorithms for scanning, signal separation, antenna selection, etc.
Define requirements and guide other multi-disciplinary teams (SW, Modem algorithms, DSP, and FPGA) through
implementation and debugging.
Analyze and define complex system behaviors, state machines, algorithms, and event-response logic, including
radio link budget considerations.
Perform independent, hands-on debugging and optimization for system problem-solving using tools like
MATLAB, Python, Excel, and other log analysis software.
Gain a deep understanding of the full system to guide and support development, testing and validation teams.

We are looking for a talented Communication PHY Research Engineer to join our
growing, highly motivated, and skilled modem research team, to lead and participate in
research of proprietary wireless communication signals and design modulators,
demodulators as part of our counter-drone cyber-based product.
Responsibilities:
Research and analysis of proprietary air interface: algorithm research of sampled wireless signals using MATLAB or Python, to define all radio characteristics including sample rate, modulation scheme, error corrections, spreading techniques and more.
Full modem implementation and simulation in MATLAB or Python.
Analysis of protocol behavior and performance improvements.
Proposing and developing algorithmic approaches to address technical challenges and complex problems.
Technical subject matter expert (SME) for communication protocols, providing support and consultation on R&D-related challenges and issues.

RF/HW & System Validation Engineer
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Scope:
As an RF/HW Validation Engineer, you will bridge the gap between HW & RF validation and complex system-level testing. You will design, develop, and execute automated and manual test plans to verify the performance, reliability, and compliance of our SDR (Software Defined Radio) architectures and multi-layered tactical systems (including integration with other systems).
Key Responsibilities:
System-Level Testing: Execute end-to-end system testing of counter-drone platforms, verifying the integration of RF hardware, firmware, and complex software-defined radio algorithms under real-world scenarios.
Hardware Product Testing: Test and validate various HW products, including antennas, radar systems, jammers, and related peripherals.
Failure Analysis & Troubleshooting: Debug complex RF anomalies, signal integrity issues, and system bugs down to the component/board level, working closely with RF Design, Board Design, and SW teams.
Documentation: Create comprehensive test plans (ATP/DTP), write test reports, and present data-driven analysis to cross-functional R&D teams to impact the next generation of hardware.

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

Required Field System QA
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Our ideal candidate is a proactive learner with excellent problem-solving skills and a strong desire to work hands-on with system testing and verification.
While no prior professional experience is necessary, a natural curiosity for how systems work and an enthusiasm for tackling challenges in diverse, outdoor settings are highly valued.
This role is highly hands-on and field-oriented, with the majority of time spent conducting outdoor system tests in real-world environments. You will be actively involved in end-to-end validation of complex hardware and software systems, troubleshooting issues on-site, and working closely with multidisciplinary teams to ensure optimal performance.
The position requires adaptability, independence, and a proactive approach, as you will operate in dynamic, fast-changing conditions and take ownership of testing activities from execution through reporting.
What will your job look like?
Verifying system features and functionality
Outdoor system performance tests.
Working in a young, dynamic & demanding environment on cutting edge technology.
Conduct end-to-end testing of integrated hardware and software components, ensuring seamless operation.
Provide detailed bug reports, logs, and reproducible steps for issues found in the field.
Generate regular reports on field QA activities, system performance trends, and key findings.

Required Professional Services Engineer - Integrated Solutions
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Key Responsibilities:
Deployment & Integration:
Lead end-to-end installation, configuration, and commissioning of EnforceAir Plus systems across diverse global operational environments, including military grade installations, border crossings, airports, and critical national assets.
Integrate EnforceAir Plus with third-party detection layers including EO camera arrays, radar sensors, Jammer and RF detection systems into unified C2 architectures
Validate detection zones, cyber-takeover workflows, and sensors fusion configurations against client operational requirements
Troubleshoot and resolve integration issues across hardware, software, RF, and network layers, both on-site and remotely
Customer Engagement & Technical Advisory:
Act as the trusted technical advisor to customers stakeholders, throughout the full project lifecycle
Conduct site surveys, RF environment assessments, and infrastructure readiness reviews ahead of every deployment
Translate complex operational use cases and threat scenarios into system configurations and deployment architectures
Lead customer acceptance testing (SAT), sign-off procedures, and operational readiness reviews
Training & Enablement:
Design and deliver tailored operator and administrator training programs
Develop site-specific SOPs, operator handbooks, and system administration guides aligned with EnforceAir Plus capabilities and local operational doctrine
Support train-the-trainer programs for large-scale or multi-site deployments across different regions.
Ongoing Worldwide Support:
Provide Tier 2/3 post-deployment technical support and incident response across all global time zones
Participate in a global on-call support rotation, ensuring 24/7 coverage for critical operational deployments
Conduct scheduled system health checks, performance audits, and software/firmware update cycles, responsible for required periodical maintenance support activities
Coordinate cross-regional knowledge sharing and escalations within the worldwide Professional Services team.