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Raydar

Systems Engineer

Posted One Month Ago
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In-Office
San Francisco, CA, USA
180K-300K Annually
Entry level
In-Office
San Francisco, CA, USA
180K-300K Annually
Entry level
Own low-level infrastructure for a cloud compute platform, developing runtime and compute components focused on workload isolation, performance, reliability, storage, scheduling, and networking. Lead platform components from design through production, build checkpointing and recovery features, benchmark systems under realistic loads, and help shape infrastructure strategy across data centers, hardware-accelerated, and on-premises environments.
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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

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