# Systems Engineer

> Raydar · San Francisco, United States · Full-time · Posted 2026-09-30

**Salary:** USD 180,000–300,000

**Workplace:** on_site

## Description

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

## Apply

[Apply at Raydar](https://apply.workable.com/raydar/j/507593EF35/apply)

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