Pulse (runpulse.com) Logo

Pulse (runpulse.com)

Software Engineer

Reposted One Month Ago
In-Office
San Francisco, CA, USA
140K-200K Annually
Junior
In-Office
San Francisco, CA, USA
140K-200K Annually
Junior
Design and develop features for data extraction. Collaborate across teams, improve latency, and maintain deployment health while using Python and TypeScript.
The summary above was generated by AI

Overview

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have 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 are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.

What makes our tech special is our multi-stage architecture:

  • Layout understanding with specialized component detection models

  • Low-latency OCR models for targeted extraction

  • Advanced reading-order algorithms for complex structures

  • Proprietary table structure recognition and parsing

  • Fine-tuned vision-language models for charts, tables, and figures

If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.

What we are looking for

  • 5 days in-office at our San Francisco office

  • Eager to learn and adapt quickly

  • Prior startup or founding experience is a plus

About the Role
Design, build, and operate features that power extraction, review, and analytics. Work across the stack and ship measurable product improvements.

Responsibilities

  • Build backend services in Python and secure APIs

  • Ship front end features in React and TypeScript for our console and tools

  • Improve accuracy, latency, and reliability across the extraction pipeline

  • Write tests, own deployments, and monitor production health

  • Collaborate with design, ML, and customer-facing teams

Requirements

  • 2+ years building production software, new grads considered

  • Proficiency in Python or TypeScript, plus SQL

  • Clear communication and bias to ship

Nice to have

  • FastAPI, Postgres, Redis, React, AWS

Sponsorship
Sponsorship available.

Compensation and benefits
Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.

Similar Jobs

Yesterday
Hybrid
Santa Clara, CA, USA
240K-420K Annually
Expert/Leader
240K-420K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Set technical direction for cloud-native platforms spanning Kubernetes, distributed systems, and hyperscaler infrastructure. Design architectures for multi-cloud topology, control planes, workload isolation, identity, reliability, and large-scale operations. Lead architectural decisions across engineering teams, mitigate technical risks, promote best practices, mentor senior engineers, and guide platform strategy for highly scalable, multi-cluster environments.
Top Skills: AksAWSAzureCniContainer NetworkingCrossplaneDistributed SystemsEksFedrampGCPGitopsGkeGoKata ContainersKubernetesMetricsMtlsObservabilityOciService MeshSpiffeSpireTracing
Yesterday
Hybrid
Santa Clara, CA, USA
126K-195K Annually
Mid level
126K-195K Annually
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain scalable backend applications for ServiceNow’s platform engineering team. Responsibilities include software design, Java development, reusable architecture, code reviews, unit testing, test automation, performance optimization, and product delivery. The role partners with developers and product owners to enhance existing products and create new features. Candidates should understand data structures, algorithms, object-oriented design, design patterns, web platforms, and AI-enabled productivity or workflow solutions.
Top Skills: AWSCursorJavaJavaScriptServicenowUnixWindsurf
Yesterday
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Senior level
176K-308K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop highly scalable Java software for ServiceNow’s platform persistence systems. Manage data lifecycles, storage, retrieval, security, performance, and recovery across relational and distributed systems. Collaborate cross-functionally on data initiatives, telemetry, visualization, and Kubernetes deployments while applying concurrency, parallel programming, and AI-assisted development practices.
Top Skills: Amazon S3Apache IcebergJavaJavaScriptKubernetesRelational DatabasesServicenow Platform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account