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Software Engineer; C++ Systems

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: SK HR Consultants.com
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Software Engineer, C++ Developer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (C++ Systems)

Title:

Software Engineer (C++ Systems)

Location:

San Francisco, CA, United States (Onsite) – Relocation packages are available.

Client Industry: AI‑infrastructure industry / GPU Virtualization

Skills:

C++, Rust

Job Description

We are looking for a Software Engineer (C++ Systems) to join our team and work on the core of our GPU virtualization stack. This role is ideal for someone who thrives on optimizing microsecond‑level performance in complex C++ systems and is passionate about building impactful low‑level GPU software. You will be instrumental in scaling our platform and serving a rapidly growing customer base.

What

You'll Do
  • Performance optimization of the C++ virtualization library.
  • Research into over subscription, checkpointing, and distributed GPU clusters.
  • Support new architectures with deep understanding across the system.
  • Systems‑level debugging in production environments.
  • Diagnose performance issues in machine learning workloads.
Tech Stack

C++

Work Policy

On‑site work policy. Typically 60–65 hour work weeks, which may require weekend work.

Work Experience
  • 2+ years of experience in C++ systems engineering.
  • Experience working on low‑level systems in production.
  • Experience with compilers, networking protocols, or kernels.
Education
  • Required:

    Degree from a top Computer Science program with a 3.7+ GPA.
  • Required:

    School/University (Top 5 IITs or top 20 college/universities in the US).
Hard Skills
  • Elite C++ expertise (Rust also sufficient but they will be working in C++).
  • Experience optimizing NIC/C++ performance.
  • Ability to trace performance issues across the stack.
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