# Software Engineer > Raydar · San Francisco, United States · Full-time · Posted 2026-10-05 **Salary:** USD 160,000–300,000 **Workplace:** on_site ## Description 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 ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/65D59EED9C/apply) --- Powered by [Workable](https://www.workable.com)