Software Engineer
Raydar
Software Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States · Full-time · Posted 2026-10-13
Salary: USD 215,000–325,000
Workplace: on_site
About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Work on performance-critical systems software written in C++, owning core library development and production troubleshooting. The role combines applied research, performance analysis and hands-on engineering in a fast-moving startup setting.
What you'll do
- Develop and maintain the core C++ library at the heart of a systems software platform.
- Research techniques for resource sharing, state snapshotting and high-performance GPU systems.
- Add support for new hardware architectures, drawing on a deep understanding of the full system.
- Debug systems-level issues in live production environments.
- Diagnose performance problems in customer workloads and trace them across the stack.
What we're looking for
- Hands-on background shipping and supporting close-to-the-hardware software in live environments.
- Expert-level C++ skills; strong Rust experience may also be considered, though day-to-day work is in C++.
- Experience tuning network interface and C++ performance.
- Ability to follow performance problems through every layer of the stack.
- A strong academic record in computer science from a highly regarded university.
- A history of delivering quickly in an early-stage startup.
Bonus points
- Exposure to compilers, networking protocols or operating system kernels.
- Kubernetes or infrastructure experience, for example storage systems work or large-scale data ingestion.
Compensation and benefits
- Base salary: USD 215,000 to 325,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site
- Full-time
Powered by Workable
Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.
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