Systems Engineer

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