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As a Senior Software Engineer on a search vertical, you'll help build systems that capture what is true about a domain. You'll work on extracting, connecting, retrieving, and reasoning over knowledge from the web and beyond, turning messy, real-world data into structured, trustworthy knowledge so AI agents can answer questions with precision and completeness.

You will optimize the retrieval and knowledge layer for a vertical: how a domain's content is indexed, linked into entities, ranked, and continuously refreshed, then measured and improved against rigorous IR metrics. This is an information-retrieval and systems role spanning indexing internals, hybrid retrieval, and entity resolution, with the goal of making each vertical the best place in the world to search its domain.

In this position, your responsibility will be to

Design, implement, and operate the retrieval system for a search vertical

Connect and tune the data pipeline, from ingestion to relevance tuning

Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar)

Develop structured-extraction pipelines over messy, unstructured domain data

Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it

Define evaluation and quality metrics for relevance and drive measurable improvements

Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met

Enable safe experimentation with retrieval, ranking, and extraction strategies

we are looking for am Hardware Engineer.
As a HW engineer you will develop, sustain, and improve our products. Each project goes through methodical process, starting with requirements, kick-off, SDR, PDR, CDR and eventually bring-up, debug and thorough tests to approve every feature/capability according to the requirements.
Part of your duty is to back your design with proper documentation that concludes your work and allows the project to be sustainable, understandable, and accessible to other.

we are seeking a highly motivated Application Engineer & Technical Marketing Specialist to support customers worldwide in the integration and deployment of advanced gimbaled EO/IR payloads, combining Visible (VIS) and Long-Wave Infrared (LWIR) cameras for UAV and drone applications.
This customer-facing role combines system engineering, technical support, product marketing, and business development activities. The successful candidate will serve as the technical bridge between customers, engineering teams, and sales organizations, helping customers maximize the value of solutions while identifying new business opportunities.
This position is intended for engineers with hands-on experience in multidisciplinary systems, electro-optics, aerospace, robotics, mechanics, electronics, or field engineering.

We are looking for an experienced NPI Process Engineer to join our Engineering team and lead the transfer of new products from R&D to production, while driving process improvements across manufacturing lines.
Key Responsibilities
Lead NPI activities and serve as focal point between R&D and production
Define, maintain, and improve production processes and work instructions
Provide hands-on support and troubleshooting to production lines
Lead root cause analysis and implement corrective actions
Drive yield improvement, scrap reduction, and cycle time optimization
Manage process validation, qualifications, and engineering changes (ECO)
Work closely with cross-functional teams: R&D, Quality, Maintenance, and Operations

We are seeking a highly motivated and detail-oriented Supplier Quality Engineer to join our Quality team to be responsible for ensuring supplier compliance with quality requirements, driving continuous improvement initiatives, managing supplier performance, and supporting IQC department.
Key Responsibilities:
Qualify, develop, and monitor suppliers to ensure compliance with company quality standards.
Conduct supplier audits (process, system, and product audits).
Lead supplier corrective and preventive action (SCAR/CAPA) activities using structured problem-solving methodologies.
Analyze supplier quality performance using KPIs and implement improvement plans.
Support supplier selection, qualification, and approval processes.
Review and approve supplier documentation, including PPAP, FAI, control plans, PFMEA, and process flow diagrams.
Collaborate with Engineering, Manufacturing, Procurement, and R&D teams to resolve supplier quality issues.
Travel to supplier sites as required.