Backend Software Engineer Job in San Francisco, CA | Yulys
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Job Title: Backend Software Engineer

Company Name: Stealth AI Startup
Salary: USD 0.00
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USD 300,000.00 Yearly
Job Industry: Animation
Job Type: Full time
WorkPlace Type: On-Site
Location: San Francisco, CA, United States
Required Candidates: 1 Candidates
Skills:
Keyframing
Background Design
Color Theory
Job Description:

Backend Software Engineer

Location: San Francisco, CA (Remote)

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.


Our Benefits

  • Competitive salary + equity
  • Premium health, dental, and vision insurance
  • Flexible PTO
  • Home office and equipment stipend
  • Annual learning & development budget

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