Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$205к-227к/год
$220к$250кмедиана$300к
По похожим ролям (50) ~ $250к/год
На СНГ рынке: $4.2к/мес ($3.2к - $5.7к)
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Вакансия дает серьезную техническую ответственность в развивающемся AI- и геопространственном направлении, но зарплата ниже медианы рынка, а офисный формат и быстрый темп могут подойти не всем.
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Ниже рынкаВысокий темпАктуальные технологииШирокая ответственностьAI для госсектора
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer (AI/Geospatial): Building sensing-platform connectors and AI-driven pipelines that transform LiDAR and imagery data into structured asset records, condition assessments, and automated workflows with an accent on computer vision, spatial data modeling, and cross-product integration. Focus on designing tiered sensing ingestion, reconciling third-party geospatial data, and ensuring accuracy for regulatory, safety, ADA, and FEMA-related workflows.
Location: On-site in Boston, Massachusetts, United States.
Salary: $205K–$227K annually, including base salary and a portion of variable compensation.
Company
hirify.global provides AI and ERP solutions for local and state governments, including asset management, procurement, accounting, billing, permitting, and transparency products.
What you will do
Design and build connector and adapter layers that map LiDAR- and imagery-derived asset detections into hirify.global products.
Architect automated detection-to-case pipelines with photo evidence, GPS coordinates, severity scores, and routing into product workflow engines.
Evaluate, integrate, or build computer-vision and LiDAR-fusion models, including potential integration with the existing Vision AI microservice.
Design the data model and storage layer for continuously updated spatial data shared by five Community Operations products.
Own a tiered sensing-ingestion model covering satellite, fleet-vehicle camera, and full LiDAR survey data with different refresh rates, accuracy levels, and price points.
Set technical direction, testing, monitoring, and data-quality standards for regulatory- and safety-relevant workflows, while coordinating roadmap delivery across product teams.
Requirements
12+ years of software engineering experience and a track record of owning complex, cross-system integrations end to end in a production SaaS environment.
Experience building or integrating computer-vision, LiDAR, or geospatial data-processing pipelines; comfort with point-cloud or 3D spatial data.
Strong data-modeling and API/connector design skills, including reconciliation of third-party schemas with multiple internal data models.
Experience with geospatial systems such as PostGIS, spatial indexing, and coordinate reference systems.
Ability to make and defend build-versus-integrate decisions with incomplete information and ambiguous vendor integration paths.
Experience partnering across multiple product teams and translating technical vision into a scoped, sequenced delivery plan.
Proficiency with AI-native engineering workflows, including directing AI tooling for scaffolding, test generation, and code review while retaining ownership of architecture and correctness.
Excellent written communication and ability to produce technical design documents aligning stakeholders across five product teams.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Nice to have
Point-cloud or 3D spatial data experience.
Experience shipping systems where data accuracy has regulatory, infrastructure, public-sector, or safety consequences.
Culture & Benefits
Mission-driven work focused on more effective and accountable government.
Fast-paced, results-driven environment with a performance-based culture and opportunities for internal growth.
Comprehensive healthcare, HSA contributions, paid parental leave, and a 401(k) with company match.
Flexible vacation policy, paid company holidays, wellness stipends, and professional development opportunities.
Collaborative office environment with weekly catered lunches.
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