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Required Market Intelligence Analyst (Drone & Counter-Drone Systems)
We are looking for a strategic thinker to become the companys single Point of Contact for market knowledge.
In this role, you wont just track data; you will own the narrative of the global drone and counter-drone (cUAS) landscape. You will be the single point technical, operational, and commercial developments, translating complex market noise into clear picture, insights and recommendations that drive will contribute and influence our Product and Sales strategies.
Key Responsibilities:
Market Mastery Monitoring: Maintain real-time, comprehensive expertise in the drone and cUAS domains.
Monitor global news, emerging technologies, operational shifts, and regulatory changes across multiple verticals.
Strategic Analysis: Go beyond data collection to provide deep-dive analysis. Synthesize information on competitors (direct and indirect), market trends, and regional business climates to identify threats and
opportunities.
Business Enablement: Act as a strategic partner to the Product Management, Sales, and Marketing teams.
Your insights will directly influence the product roadmap, sales pitches, and go-to-market strategies.
Tooling Intelligence Infrastructure: Manage and optimize information-gathering tools. Focus on filtering signal from noise to generate high-quality, actionable intelligence reports for executive leadership.
Cross-Functional Collaboration: Work closely with the CPO and cross-functional teams to ensure that market reality is reflected in every decision we make.
Briefing and Reports: Address your knowledge when needed to different forums within the company, in verbal, written and presentation formats.

Required Senior Software Engineer (Cloud/Backend)
The Role:
We are building a brand-new Platform group and have already recruited a strong foundational team. We are now looking for a Lead Technical Anchor to act as a Key Technical Partner to the Principal Architect. You will be one of the main players in the group, acting as the primary driving force to ideate, design, implement, maintain, and monitor a massive multi-tenant SaaS distributed ecosystem and inference platform. This mission-critical platform operates across three tiers:
Cloud (Worldwide SaaS)
On-Premise (Gateways / MSC2)
Edge Device Sensors (SDR / IoT tactical devices)
We need a heavyweight engineer with the battle scars of planning and designing distributed systems from scratch, but who is still "hot on code" and loves being deeply hands-on. We operate with a strict 'You Build It, You Run It' culture.
(Note: While this role is heavily focused on backend architecture and platform infrastructure, we believe in end-to-end ownership. You will occasionally dive into the frontend (React) to deliver complete features).
What You Will Do:
Key Technical Partner: Work in close partnership with the Principal and Software Architect to translate high-level architectural vision into production reality.
Architect Distributed Systems: Lead the design, planning, and implementation of highly complex, high-throughput distributed systems from the ground up, ensuring seamless data ingestion and inference across Edge, On-Prem, and Cloud layers.
Lead by Example in Code: Write extremely sharp, scalable, and maintainable code. You will set the engineering standards for the rest of the team using Node.js, Express, and NestJS.
End-to-End Ownership: Take full ownership of the software lifecycle-from architectural design and backend coding to automated deployment and production monitoring. Ensure 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.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

Responsibilities:

Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.

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.

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.
Accompany the integration process of the feature until its end-to-end operation.