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We are seeking an experienced, highly technical Senior Hardware Product Manager to own the end-to-end product lifecycle, operational sustaining, regulatory qualification, and sales enablement for our deployment kits and complex hardware configurations. In this role, you will serve as the single point of truth for major strategic kit initiatives.
You will bridge hardware engineering, manufacturing scaling, regulatory compliance, and commercial execution- working cross-functionally across R&D, System Engineering, Operations, Quality, and Sales to drive physical product maturity, reliability, and market deployment.
Key Responsibilities:
HW Product Ownership & PLCM: Own the end-to-end PLCM policy for deployment kits, managing product roadmap, definitions and execution through release and ongoing lifecycle evolution.
Inbound Leadership: Drive internal initiatives and prioritize System, SW and HW team efforts to ensure aligned execution.
Domain SME: Serve as the primary technical subject matter expert for deployment form factors, environmental constraints, and hardware kit capabilities.
Operations & Sustaining: Sustain day-to-day hardware health including design for manufacturability, supply chain issue mitigation, production scaling support, and root-cause resolution of field hardware defects (RMAs) with Quality and R&D.
Compliance, Qualification & Certification: Oversee kit-level regulatory, military, and environmental testing such as FCC/CE, MIL-STD 810/461, EMC/EMF etc.
Sales Enablement: Drive domain-specific sales enablement, including marketing materials, user documents (Installation Manuals, ICDs, Product Descriptions), and technical support for presale and customer inquiries.

We are seeking a Communication PHY Algorithms Engineer.
This role is focused on the end-to-end research, design, and implementation of digital receivers for proprietary drone communication signals.
Responsibilities:
Mathematically characterize complex communication and signal detection problems. Analyze and assess design trade-offs based on both performance metrics and implementation complexity.
Develop and maintain simulations using MATLAB and Python.
Design digital receiver modules to be implemented either by FPGA of SW.
Implement features directly in SW or technically lead and verify the FPGA implementation efforts of the FPGA engineer.

We are seeking a highly skilled Senior Communication PHY Algorithms Engineer.
This senior role is focused on the end-to-end research, design, and implementation of digital receivers for proprietary drone communication signals.
Responsibilities:
Mathematically characterize complex communication and signal detection problems. Analyze and assess design trade-offs based on both performance metrics and implementation complexity.
Develop and maintain simulations using MATLAB and Python.
Design digital receiver modules to be implemented either by FPGA of SW.
Implement features directly in SW or technically lead and verify the FPGA implementation efforts of the FPGA engineer.
Accompany the integration process of the feature until its end-to-end operation.

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.
This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools.
The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle.
Key Responsibilities:
Develop and maintain automated RF test development tools using Python and other relevant programming languages.
Configure, calibrate, and operate RF test equipment such as Vector Signal Generators (VSGs), Spectrum Analyzers (SAs), and related instruments.
Create and validate RF test setups for performance validation, debug, and system characterization.
Analyze test results, generate comprehensive reports, and present findings to cross-functional teams.
Collaborate with hardware and software engineers to integrate automated RF testing into the product development cycle.
Stay current with emerging RF technologies and testing methodologies, proposing and implementing improvements to existing test processes.
Contribute to the development of RF testing strategies aligned with R&D goals and product roadmaps.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

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.
In this role, you will be responsible for all mechanical aspects of the product, working closely with hardware, production, operations, and product teams.
The role includes technical leadership of complex mechanical designs, including:
Design from scratch alongside retrofitting and improving existing designs.
Complex thermal management.
Withstanding dynamic profiles (mainly vehicle-related and wind loads).
Protection against electromagnetic interference (EMI/EMC).
Design for sealing.

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.
As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones.
Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers.
This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

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.
Key Responsibilities:
Lead complex, multi-system features and platforms from initial concept through design, implementation, and release.
Analyse, define, and debug complex system behaviours, state machines, algorithms, and event-response logic (including radio link budget considerations).
Define requirements and guide multi-disciplinary teams-spanning both our internal engineering groups (SW, HW, Modem, DSP, FPGA) and external vendors-through implementation, debugging, and integration.
Lead the integration of internal subsystems and optimize the integration of external vendor technologies.
Perform independent, hands-on debugging using Python or Matlab and log analysis tools.
Actively participate in, guide, and lead lab and field testing, validation, and system optimization both in the lab and in outdoor environments.

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.
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.

The Director of Engineering - Performance Management at our company is responsible for leading and
managing the engineering teams that design, build, and maintain the companys PM product. This role ensures the delivery of high-quality, scalable, and reliable solution
that support our companys customers
How will you make an impact?
Lead the PM engineering organization, ensuring alignment with company
goals
Oversee the design, development, testing, and deployment of PM
micro services
Manage resource planning, delivery milestones, and overall product quality
Ensure system capacity planning and operational support for the PM
Establish and enforce development standards, tools, and methodologies
Integrate customer and business requirements into engineering efforts
Stay current with AI and Agentic technologies such as reasoning models, LLM, SLM, AI SDLC, Agentic coding and agents orchestration
Manage global distributed team across multiple sites
Recruit, develop, and retain top engineering talent.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

The Senior Agentic Systems Engineer is a hands-on engineer who designs, builds, and operates AI-powered tools and workflows for engineering teams.
Were looking for builders who are not only users of AI tools, but can design autonomous agentic systems, optimize model usage, create reusable agents and workflows, and orchestrate complex multi-step work across multiple tools and agents.
Youll be a one-person-army builder: able to understand a problem, define the approach, build the backend, create a simple UI when needed, integrate APIs, connect agents, automate workflows, and deliver working tools quickly.
How will you make an impact?
Build centralized AI-powered tools for engineering teams.
Create and maintain agents, skills, hooks, MCP servers, plugins, and workflow automation.
Design autonomous agentic systems for internal engineering use cases.
Build multi-step AI workflows across code, documentation, Jira, GitHub, CI/CD, and internal systems.
Build tools for PR review support, test generation, documentation updates, spec creation, codebase understanding, and developer productivity.
Learn from local teams and convert successful solutions into reusable centralized assets.
Integrate AI tools with GitHub, Jira, Confluence, CI/CD, internal portals, and engineering systems.
Optimize AI workflows for cost, latency, quality, and reliability.
Apply token economy thinking when designing agents, prompts, MCP usage, RAG flows, and tool integrations.
Contribute to the internal AI marketplace and reusable asset catalog.
Work directly with engineering teams, collect feedback, and iterate quickly.

We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today.
Key Responsibilities
Develop internal AI-powered products and tools used by teams across our company to work faster and smarter.
Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams.
Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows.
Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development.
Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption.
Work hands-on with the most advanced AI development tools and shape how the company uses them.

We're looking for an AI Workflow Engineer to join our System Architecture group. This is a high-impact role where you'll design, build, and continuously improve AI-powered workflows, agents, and tools that help our architects do their best work - from system design and modeling through documentation, technical decision-making, and review.
Working from within the architecture team, you'll turn the group's real, day-to-day pain points into practical AI-assisted solutions. Your primary focus is system architecture within the software development lifecycle (SDLC), and because architecture touches everything, your work will naturally extend into adjacent stages wherever AI can add value.
Key Responsibilities:
Design and build AI-powered workflows, agents, and internal tools that support system architecture work - design, modeling, documentation, architecture decisions, and reviews.
Develop and iterate on agents within our internal framework, using agentic AI techniques to accelerate and augment architecture and engineering tasks.
Continuously improve existing workflows and tools as team needs evolve and AI capabilities advance.
Partner closely with the System Architecture team to understand real pain points and turn them into practical, AI-assisted solutions.
Measure and demonstrate the impact of the workflows you build - for example on design-cycle time, review turnaround, and the quality and completeness of architecture documentation and decision records.
Build proof-of-concept projects that show the practical value of AI in real architecture and engineering workflows.
Develop best practices, prompt engineering guidelines, and reusable patterns for AI-assisted architecture and development.
Stay current with the rapidly evolving AI tooling landscape and advise on strategic adoption.

We are seeking a senior ATE Software Engineer to design, build, and deploy our next-generation automated manufacturing test platform for advanced telecom, high-density switching, and optical networking hardware.
In this role, you will bridge the gap between R&D hardware/firmware teams and high-volume manufacturing lines. You will take ownership of ingesting, refactoring, and consolidating disparate R&D scripts, diagnostic tools, and legacy software into a single, scalable, production-grade test platform.
We expect you to leverage modern AI-assisted development tools and workflows to maximize engineering efficiency, accelerate delivery timelines, and build highly robust, self-healing test automation. You will deploy test stations across global Contract Manufacturers (EMS/ODM), actively stabilize production lines through bring-up and ramp-up, and drive continuous test maintenance and root-cause failure analysis (RCA).
Key Responsibilities
Test Platform Architecture & Software Development:
Design, develop, and productize robust, modular test software frameworks for board-level (PCBA) and system-level manufacturing testing across multiple product lines and manufacturing sites.
Codebase Unification & Refactoring:
Consolidate and standardize R&D diagnostic libraries, silicon validation scripts, and firmware tools developed across various environments (Python, C# / Visual Studio, VB, ATEasy, Linux) into a unified, maintainable test execution engine.
AI-Accelerated Development & Workflow Automation:
Actively integrate Generative AI tools and AI coding agents into your daily workflow to accelerate code conversion/refactoring, automate test case synthesis, generate edge-case validation scripts, and enhance overall codebase resilience.
Production Line Deployment & Stabilization:
Deploy test stations and fixtures to local and overseas EMS/CM production lines. Monitor, debug, and fine-tune test execution during NPI and ramp-up phases until yield, takt time, and test stability targets (CPK / First Pass Yield) are achieved.
Failure Investigation & Intelligent RCA:
Investigate complex system-level and component-level test failures. Utilize advanced log analysis, structured telemetry, and pattern recognition to drive root-cause investigations and implement preventive software/hardware fixes.
Ongoing Test Maintenance & Optimization:
Provide continuous operational Production line support and maintenance, bug fixes, software updates, and station cycle-time optimizations for active mass-production lines.
R&D Collaboration & Test Specification:
Collaborate closely with Hardware, Firmware, and Validation teams during early design phases to define test specifications, drive Design for Testability,
Documentation & Technical Reporting:
Author and maintain comprehensive testing documentation, Standard Operating Procedures (SOPs), test coverage matrices, and detailed failure analysis reports.
Manufacturing Systems Integration:
Integrate automated test sequences with CMs SFC/MES/QMS, serialized tracking, and central test log databases.
Log Analysis & Analytics Tool Development:
Design and build dedicated log parsing, data visualization, and diagnostic analytics tools to streamline complex hardware/software debugging, accelerate root-cause analysis (RCA), and drive continuous production line cycle-time and yield optimization.

We are seeking a highly skilled and experienced multidisciplinary engineer with a strong background in system design to join our team. In this role, you will contribute to our upcoming projects and play a key part in the rapid expansion of the Ethernet market.
As a such, you will be responsible for developing high-speed digital and analog circuit boards used in Ethernet products. Your duties will include designing board schematics, overseeing PCB layout, and conducting lab . Additionally, you will be responsible for evaluating new hardware solutions, providing technical leadership in troubleshooting and reviewing schematics, layouts, and design for manufacturability (DFM), as well as managing components selection.