At Pulse, we're tackling one of the most persistent challenges in data infrastructure - extracting accurate, structured information from complex documents at scale. We've developed a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We're a small but fast-growing team of engineers based in San Francisco, working on technology that's powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We're backed by tier 1 investors and are growing fast.
What makes our tech special is our multi-stage architecture approach to document intelligence:
Layout understanding with specialized component detection models
Low-latency OCR models for targeted extraction
Advanced reading order algorithms for complex document structures
Proprietary table structure recognition and parsing
Fine-tuned vision-language models for charts, tables, and figures If you're passionate about solving complex challenges at the intersection of computer vision, NLP, and data infrastructure, you'll find that at Pulse, your work directly impacts customers and shapes the future of document intelligence.
5 days in-office at our San Francisco office
Eager to learn and adapt quickly
Prior startup or founding experience is a plus
Competitive base salary plus equity
Performance-based bonuses
Relocation assistance for Bay Area moves
Daily meal stipends
Comprehensive medical, vision, and dental coverage As a Software Engineer at Pulse, you'll build the core infrastructure powering our document intelligence platform. You'll design systems that extract structured data from millions of complex documents where traditional OCR fails, directly impacting Fortune 100 enterprises and fast-growing startups.
Python, JavaScript/TypeScript (Next.js + React), with C++ experience a plus
Full-time
$102K–$118K
San Francisco, California
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