Staff/Senior Software Engineer, Document Intelligence & Data Infrastructure (Helios)

Helios is building infrastructure that connects public institutions and private organizations through its Proxi intelligence platform. The Staff/Senior Software Engineer will build and operate acquisition and processing infrastructure for global public-sector and open-source data, covering source discovery, document processing, normalization, extraction, enrichment, and publication. The role also involves scaling distributed pipelines and developing real-time multilingual audio intelligence capabilities.

Professional Services

• Finance
• Venture Capital
• Business Development
• Financial Services
• Insider Connection @Unusual Ventures
• 2 email credits available today
• Beyond your network
• Find More Connections
• From your previous company
• from your School
• Find Any Email

Responsibilities

• Expand Proxi’s ingestion and document-processing platform from source acquisition through downstream publication
• Construct crawling and connector infrastructure required to discover, acquire, and continuously maintain international data sources
• Scale the distributed processing environment that supports document conversion, extraction, transcription, enrichment, replay, and backfills
• Establish common data contracts that normalize heterogeneous and multilingual sources without discarding their jurisdictional context or provenance
• Maintain pipeline reliability, security, observability, and cost efficiency while ensuring corrections propagate through every downstream system
• Build and operate real-time audio intelligence pipelines for low-latency multilingual transcription, speaker attribution, timestamp alignment, and confidence-calibrated tone analysis across live and recorded media

Qualifications

• We are looking for a senior engineer who has built and operated large-scale acquisition or document-processing systems in production
• Web crawlers and connectors for continuously changing international sources
• Fault-tolerant pipelines with reliable scheduling, recovery, replay, and backfill capabilities
• Processing complex documents, structured files, images, audio, and video across languages
• Stable schemas, source lineage, correction propagation
• Operating secure, observable, scalable, and cost-efficient processing systems across cloud and restricted environments
• Document conversion, OCR, layout analysis, and structural extraction across complex file formats
• Multilingual audio, video, and document processing with reliable alignment and attribution
• Scalable inference infrastructure for batch and real-time processing across CPU and GPU workloads
• End-to-end provenance, versioning, correction propagation, and reproducible reprocessing
• Secure handling of untrusted content with rigorous quality evaluation, observability, and cost controls
• Experience building international public-sector data pipelines across languages and jurisdictions
• Production experience with real-time transcription, speaker diarization, and tone or prosody analysis
• Experience operating large-scale web acquisition against complex and frequently changing sources
• Familiarity with legal, legislative, regulatory, archival, or similarly difficult corpora
• Experience deploying secure processing systems in GovCloud, air-gapped, or other restricted environments
• Seed-stage venture firm for enterprise AI software startups.
• Menlo Park, California, USA
• https://new.unusual.vc
• H1B Sponsorship
• Data Powered by
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Management and Executive
• Trends of Total Sponsorships
• *2026
• (1)
• Leadership Team
• Lars Albright
• General Partner
• Recent News
• Tech Funding News
• Ex-NVIDIA researchers’ Dream Labs raises $90M to give low-cost robots a shared AI brain
• 2026-10-21
• Venture Capital Firms
• Dream Labs Raises $90M Seed to Build the Brain for Everyday Robots
• (StartupN)
• Dream Labs Secures 120 Billion Won in Seed Investment Just 3 Months After Establishment… Pushing for Commercialization of Robot AI
• Company data provided by
• AI Tools

Required skills

• Audio Timestamp Alignment, Data Provenance and Versioning, Document Processing and Conversion, Fault-Tolerant Data Pipelines, Multilingual Audio, Video, and Document Processing, OCR and Layout Analysis, Real-Time Transcription, Scalable CPU/GPU Inference Infrastructure, Secure Processing in Restricted Environments, Speaker Diarization and Attribution, Structural Data Extraction, Web Crawling and Data Acquisition