Software Engineer (C++ Systems)

Who is Recruiting from Scratch :

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company's culture and vision. Our mission is simple : place the best people in the right roles to drive long-term success for both clients and candidates.

Title of Role : Software Engineer (C++ Systems)

Location : San Francisco, CA (On-site)

Company Stage of Funding : Seed-Stage, High-Growth Venture-Backed Startup

Office Type : On-Site (5 Days / Week)

Salary : $200,000 - $250,000 base + competitive equity

Company Description

Our client is a fast-growing, venture-backed infrastructure startup building cutting-edge GPU virtualization technology. Their platform powers next-generation compute workloads by enabling dramatically higher GPU utilization, efficiency, and throughput-supporting both internal GPU cloud operations and external enterprise customers.

This is an opportunity to join a deeply technical founding team that moves fast, ships aggressively, and is building software at the bleeding edge of distributed GPU systems, performance engineering, and large-scale ML infrastructure.

If you enjoy solving microsecond-level performance problems, working close to the metal, and owning highly critical systems that power real customers at scale, this role will be an exceptional fit.

What You Will Do

• Build and optimize core components of a high-performance C++ GPU virtualization library.
• Drive performance tuning across latency-sensitive and throughput-critical code paths.
• Conduct research into oversubscription, checkpointing, GPU sharing, and distributed GPU cluster scheduling.
• Support new GPU architectures and ensure seamless integration across the system.
• Debug complex systems-level issues in production environments.
• Diagnose performance bottlenecks in machine learning and model-training workloads.
• Collaborate closely with a senior, fast-moving engineering team to scale the platform for rapid customer growth.

Ideal Candidate Background

Preferred Qualifications

Compensation, Benefits & Additional Details