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
- Select Apply on apply.workable.com. It opens Raydar's own application form in a new tab, run on Workable.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
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Posted 30 Sept 2026 · checked 30 Oct 2026 · Report this job