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Raydar

Software Engineer

Sorry, this job was removed at 08:10 a.m. (PST) on Thursday, Oct 22, 2026
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In-Office
San Francisco, CA, USA
160K-300K Annually
Entry level
In-Office
San Francisco, CA, USA
160K-300K Annually
Entry level

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Own customer-facing software from design through production, building backend telemetry pipelines, low-latency decision systems, real-time detection, and compact machine-learning models. Partner directly with customers during pilots and rollouts, conduct adversarial testing, and contribute to platform architecture and technical direction in a small, fast-moving engineering team.
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About the company

Our client is a cybersecurity company.

The role

Raydar is recruiting for this role on behalf of our client. Take responsibility for delivering customer-facing software from design through production at an early-stage company. The work spans backend data processing and low-latency automated decision systems, with frequent direct contact with customers during pilots and rollouts. You will also help set technical direction alongside a very small engineering group.

What you'll do

- Take full ownership of new capabilities, from initial design to live release for large business customers within a few weeks.

- Build backend pipelines that collect and process large volumes of varied telemetry from many sources.

- Create real-time systems that detect problems and apply rules automatically.

- Partner with customers during pilots and rollouts, sometimes releasing improvements while an engagement is still in progress.

- Train compact machine learning models that return quick judgments within strict latency limits.

- Stress-test models and automated agents with adversarial scenarios so weaknesses surface before customers encounter them.

- Contribute to platform architecture and technical decisions with a small founding group.


Requirements

What we're looking for

- 0 to 4 years of engineering experience, internships included.

- A record of delivering production software.

- Time spent at startups recognized for strong engineering talent.

- Solid backend and systems fundamentals, such as large-scale distributed systems or infrastructure.

- Comfort with an intense, fast-moving environment that has little formal structure.

- Ability to work on-site in San Francisco.

Bonus points

- Background in competitive programming.

- Hands-on machine learning experience, such as adapting or tuning models.

- Exposure to application security, adversarial testing or attacks on machine learning systems.

- Experience at a quantitative trading firm.

- Prior work embedded with customers or in a client-facing technical role.

- Degree from a highly ranked computer science program or equivalent.


Benefits

Compensation and benefits

- Base salary: USD 160,000 to 300,000 per year

- Equity

Location and work model

- San Francisco, CA, United States

- On-site

- Full-time

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