Software Engineer, Inference
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Before you apply
SalaryNo pay range posted
LocationSan Francisco
Work modeon-site
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentEngineering
EquityIncluded
Company size51–200 people
PostedJul 30, 2025 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jul 30, 202590% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
Eager to learn and adapt quickly
3+ years in performance engineering or ML systems
Strong Python, plus C++ or CUDA exposure
Experience with GPU profiling and model serving
Prior startup or founding experience is a plus
Experience reducing p95 and cost in production ML systems
5 days in-office at our San Francisco office
Skills
Python
C++
CUDA
vLLM
TensorRT LLM
Triton
Benefits
Equity
Bonus
Relocation assistance
Meal stipend
Medical coverage
Vision coverage
Dental coverage
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:
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Layout understanding with specialized component detection models
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Low-latency OCR models for targeted extraction
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Advanced reading-order algorithms for complex structures
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Proprietary table structure recognition and parsing
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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
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
About the RoleSpecialize in low-latency, high-throughput inference for OCR and multimodal models. Own profiling, batching, and autoscaling across single-tenant and multi-tenant environments.
Responsibilities
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Build inference services with smart batching and caching
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Optimize kernels, tokenization, and model graphs
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Evaluate vLLM, TensorRT LLM, and Triton tradeoffs
•
Implement autoscaling and admission control with clear SLOs
•
Own performance dashboards and capacity planning
Requirements
•
3+ years in performance engineering or ML systems
•
Strong Python, plus C++ or CUDA exposure
•
Experience with GPU profiling and model serving
Nice to have
•
Experience reducing p95 and cost in production ML systems
SponsorshipSponsorship available.
Benefits
Compensation and benefitsCompetitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.