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Backend Software Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Stealth AI Startup
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 300000 USD Yearly USD 300000.00 YEAR
Job Description & How to Apply Below

Base Salary: Up to $300,000 + equity + benefits

About Us

We are a leading AI startup pushing the boundaries of artificial intelligence. Our team includes world-class AI researchers and engineers from top universities and tech companies, working together to build foundational AI systems that redefine what’s possible. Backed by top-tier investors, we operate at startup speed with research-grade ambition.

We’re looking for exceptional Backend Software Engineers to help architect, build, and scale the infrastructure that powers our AI systems and products.

What You’ll Do
  • Design, build, and maintain highly scalable backend systems that support cutting‑edge AI research and production workloads.
  • Architect distributed systems for high throughput, low latency, and reliability at scale.
  • Build robust APIs, data pipelines, and internal tooling to support model training, evaluation, deployment, and monitoring.
  • Collaborate closely with AI researchers, ML engineers, and product teams to translate research into production‑grade systems.
  • Optimize system performance, reliability, and cost‑efficiency across large‑scale compute environments.
  • Drive engineering best practices including testing, documentation, observability, and CI/CD.
What We’re Looking For
  • 5+ years of professional backend software engineering experience (or equivalent demonstrated expertise).
  • Strong proficiency in one or more backend languages such as Python, Go, Rust, Java, or C++.
  • Deep experience designing and operating distributed systems and APIs at scale.
  • Strong understanding of databases, caching systems, and messaging systems (e.g., Postgres, Redis, Kafka, etc.).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
  • Excellent problem‑solving ability and engineering judgment.
  • Strong communication skills and a collaborative mindset.
Nice to Have
  • Experience building infrastructure for ML/AI workloads.
  • Familiarity with large‑scale training systems, GPU orchestration, or model serving platforms.
  • Experience at high‑growth startups or top‑tier technology companies.
  • Open‑source contributions or published technical work.
Why Join Us
  • Compensation: Base salary up to $300,000, plus meaningful equity and comprehensive benefits.
  • Impact: Work directly on core systems powering next‑generation AI models.
  • Team: Collaborate with world‑class researchers and engineers.
  • Growth: Rapid learning, technical ownership, and career acceleration.
  • Flexibility: Fully remote role with a San Francisco‑based listing.
  • Competitive salary + equity
  • Premium health, dental, and vision insurance
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