Software Engineer - GPU Virtualization Stack

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AI Summary

Join a high-growth, venture-backed infrastructure startup in San Francisco as a Software Engineer to architect the company's core GPU virtualization stack and build high-performance, low-level software.

Key Highlights
Performance Engineering
Infrastructure Research
Architectural Support
Production Debugging
Technical Skills Required
C++ GPU virtualization Distributed GPU clusters System checkpointing Oversubscription methods
Benefits & Perks
Annual base salary of up to $250k gross
Competitive equity package
Relocation assistance

Job Description


Are you someone excited about coding challenges & competitions? Have you participated in international Olympiads or maybe even a medalist?!


We are looking for Software Engineers to join a high-growth, venture-backed infrastructure startup at their office in San Francisco.


You will help architect the company’s core GPU virtualization stack & build high-performance, low-level software that optimizes GPU utilization.


As a Software Engineer your responsibilities will include:


  • Performance Engineering: Enhancing the performance of core C++ libraries, specifically targeting microsecond-level efficiency.
  • Infrastructure Research: Investigating advanced concepts such as distributed GPU clusters, system checkpointing, and oversubscription methods.
  • Architectural Support: Implementing deep system changes to ensure compatibility with emerging hardware architectures.
  • Production Debugging: Diagnosing complex performance bottlenecks in machine learning workloads and resolving systems-level issues in live environments.


Candidate Requirements


  • Core Skills: Demonstrated proficiency in C++ systems engineering.
  • Background: Degree in Computer Science, Computer Engineering or similar discipline working on low-level software.
  • Aptitude: A passion for solving intricate performance challenges within complex systems.


Compensation & Expectations


  • Salary: annual base salary of up to $250k gross for the right candidate.
  • Equity: A competitive equity package is included.
  • Work Schedule: This is a high-intensity environment typically requiring 60–65 hours per week, which may involve some weekend work.
  • Location: 100% on-site with relocation assistance is available.



Feel free to also refer someone you may know who could be good for the role. If they are successfully placed, we offer a great referral scheme!


Key words – Software Engineering / Systems Engineering / C++ / GPU / Trading / Hedge Fund


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