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Systems Engineer

RaydarWorkableSan Francisco, California, United States
Posted 30 SepFound 21 OctSeen 31 minutes ago

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The Posting

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

Facts

Source
Workable
External id
507593EF35
Location
San Francisco, CA, United States
Remote
Not stated
Employment
Full time
Posted
30 Sep 2026
First seen
21 Oct 2026, 16:23
Last seen
1 Nov 2026, 15:22
Status
Not yet added
Posting id
f29249a5-9d71-5ade-9850-5240bceeb9bd