Senior C++ Systems Engineer — GPU Virtualization (Onsite SF)

Thunder Compute

San Francisco (CA)

On-site

USD 250,000 - 325,000

Full time

14 days+

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Benefits offered by this job

Daily lunch, snacks, and coffee
Team dinners and events
401(k)
Health, dental, and vision insurance
Relocation support and visa Spons.

Job summary

Thunder Compute is hiring for a high-impact C++ systems role in San Francisco. You will own core GPU virtualization and low-latency paths, shipping production-grade code that coordinates GPUs across a data-center cluster.

You will work on a tight-knit team, focusing on performance, reliability, and observability, with opportunities to influence architecture and system design in a fast-growing startup.

Qualifications

  • Exceptional modern C++ ability with memory management and concurrency
  • Deep understanding of OS concepts, networks, or architecture
  • Experience building production-grade C++ systems
  • Strong Linux systems programming and debugging skills
  • Ability to reason across multiple stack layers

Responsibilities

  • Profile and reduce latency of remote CUDA operations
  • Build high-performance networking and data-transfer paths
  • Debug production failures across clients, runtime, network, and remote GPUs
  • Improve support for forking, signals, multithreading, dynamic linking
  • Design systems for GPU allocation, scheduling, and observability
  • Research and productionize new GPU virtualization techniques
  • Expand CUDA applications and GPU architecture compatibility

Skills

Modern C++
OS concepts
Distributed systems
Performance tuning
Linux systems programming

Tools

LD_PRELOAD
gRPC
CUDA

Job description

Thunder Compute is hiring for a high-impact C++ systems role in San Francisco. You will own core GPU virtualization and low-latency paths, shipping production-grade code that coordinates GPUs across a data-center cluster.

You will work on a tight-knit team, focusing on performance, reliability, and observability, with opportunities to influence architecture and system design in a fast-growing startup.

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