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 oversubscription, 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.
04/02/2026
Full time
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 oversubscription, 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.
A leading consulting firm is seeking a Software Engineer (C++ Systems) in San Francisco to optimize microsecond-level performance in GPU virtualization software. Ideal candidates will have elite C++ expertise, with at least 2 years of experience in low-level systems engineering. This position involves performance optimization, research into advanced GPU solutions, and debugging in production. Candidates must possess a degree from a top Computer Science program with a GPA of 3.7 or higher and a strong understanding of compilers and networking protocols.
04/02/2026
Full time
A leading consulting firm is seeking a Software Engineer (C++ Systems) in San Francisco to optimize microsecond-level performance in GPU virtualization software. Ideal candidates will have elite C++ expertise, with at least 2 years of experience in low-level systems engineering. This position involves performance optimization, research into advanced GPU solutions, and debugging in production. Candidates must possess a degree from a top Computer Science program with a GPA of 3.7 or higher and a strong understanding of compilers and networking protocols.