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Raydar
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Systems Engineer

Location
San Francisco, California, United States
Work mode
On-site
Employment type
Full-time

About the job

About the company Our client is a software company. The role Raydar is recruiting for this role on behalf of our client. Own low-level infrastructure work for a cloud compute platform, taking major components from first design through production. The role centers on performance, isolation and reliability close to the hardware, working alongside senior technical leadership in a very small team. What you'll do - Create core runtime and compute components that keep workloads securely separated from one another. - Take full responsibility for major platform components and carry them into production use. - Partner with technical leadership on durable state, checkpointing and recovery features for continuously running workloads. - Shorten startup times and tune performance along latency-sensitive code paths. - Architect storage, scheduling and network layers able to grow across multiple data centers. - Investigate problems, measure behavior and benchmark components under realistic load, always measuring before tuning. - Help shape the longer-term infrastructure plan, including hardware-accelerated and on-premises capacity. Requirements What we're looking for - Strong grounding in operating systems internals, memory management, storage or networking at the lowest layers. - A track record of driving an ambitious systems project from start to finish, in industry, open source or academic research. - Public, checkable evidence of your work, such as code contributions, papers, technical articles or an active code repository. - Hands-on exposure to virtualization, hypervisors or container runtimes. - Working fluency in a systems language such as Rust or C. - Signs of exceptional drive, for example competitive sport, hackathon success, competitive programming or visible technical commentary. - A finished undergraduate degree or an equivalent demanding program, in any discipline. Bonus points - Background in replicated or consensus-based data stores. - Exposure to accelerator hardware or machine learning infrastructure. Benefits Compensation and benefits - Base salary: USD 180,000 to 300,000 per year - Equity - Performance bonus - Relocation support Location and work model - San Francisco, CA, United States - On-site, 5 days per week - Full-time

From Raydar's careers page (Workable), checked 30 Oct 2026.

How to apply

  1. Select Apply on apply.workable.com. It opens Raydar's own application form in a new tab, run on Workable.
  2. Fill in the form and upload your résumé there. Jobiwork never sees your application.
  3. Raydar will reply to you directly. No real employer asks you for money to apply.

Posted 30 Sept 2026 · checked 30 Oct 2026 · Report this job

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