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Software Engineer (C++ Systems)
Software Engineer (C++ Systems)Recruiting From Scratch • San Francisco, CA, United States
Software Engineer (C++ Systems)

Software Engineer (C++ Systems)

Recruiting From Scratch • San Francisco, CA, United States
Hace 1 día
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

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.

https : / / www.recruitingfromscratch.com /

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

  • Strong experience with modern C++ (C++17 or later), systems programming, or performance-critical backend engineering.
  • Experience working on low-level systems such as hypervisors, filesystems, OS internals, networking stacks, or GPU / accelerator infrastructure.
  • Skilled in debugging complex distributed systems in production environments.
  • Comfortable navigating and optimizing large C++ codebases.
  • Passion for deep systems thinking, performance engineering, and working on challenging technical problems.
  • Thrives in a high-ownership, high-velocity startup environment.
  • Preferred Qualifications

  • Experience with GPU compute, CUDA, GPU virtualization, or ML systems performance.
  • Exposure to oversubscription, checkpointing, or distributed compute scheduling.
  • Background in HPC, storage systems, virtualization, or cloud infrastructure.
  • Experience scaling infrastructure for ML / AI workloads.
  • Systems-level debugging in high-traffic, high-availability environments.
  • Compensation, Benefits & Additional Details

  • Base Salary : $200,000 – $250,000
  • Equity : Highly competitive early-stage equity package
  • Work Hours : High-intensity environment; expected workload aligns with early-stage deep-tech startups
  • Sponsorship : TN, Canadian visas, and H-1B transfers may be supported (no new H-1Bs)
  • Relocation : Relocation assistance available for candidates moving to San Francisco
  • Position Type : Full-time, on-site role with significant impact and visibility
  • #J-18808-Ljbffr

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