Software Engineer
10X Recruiting Partners · San Francisco, CA · 1 mo ago
Engineering$500k/yrFull-time
About the role
We’re seeking a highly skilled Software Engineer (C++ Systems) to join our client’s team and help build the core of our GPU virtualization platform. This role is ideal for engineers who thrive on microsecond-level performance optimization, enjoy working deep in complex C++ systems, and are motivated by building foundational infrastructure that directly impacts customers.
Responsibilities
- Optimize performance of our C++ GPU virtualization library at the systems level
- Research and develop solutions for GPU oversubscription, checkpointing, and distributed GPU clusters
- Support new hardware and software architectures with a deep, end-to-end understanding of the stack
- Debug low-level systems in production environments
- Diagnose and resolve performance issues in machine learning workloads
- Collaborate closely with the CTO on advanced systems design and implementation
Requirements
- Proven experience building and operating low-level systems in production environments
- Background working with compilers, kernels, or networking protocols
- Demonstrated ability to trace and resolve performance issues across complex systems
- Expert-level C++ proficiency (Rust experience is acceptable, though primary development will be in C++)
- Experience optimizing C++ and NIC performance
- Strong systems-level debugging and performance analysis skills
Qualifications
- Degree in Computer Science or a related field from a top-tier program
- Strong academic performance (3.7+ GPA)
Skills
- Building GPU virtualization software that dramatically improves GPU efficiency
- Operating a fast-growing GPU cloud, scaling from $0 to $500K in revenue in just six months
- Backed by Y Combinator and a recently closed $4.5M Seed round
- Join as employee #5 at a pivotal moment: product–market fit validated and scaling rapidly
- Work directly with the CTO on systems challenges few startups get to tackle
- This is a hardcore C++ systems role focused on GPU virtualization, performance tuning, production debugging, and advanced research
Benefits
- Ownership, impact, and problems that demand top 0.1% technical skill
Pay
- $160k - $200k
Schedule
- Full-time