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
-
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

  1. Design, build, and maintain highly scalable backend systems that support cutting-edge AI research and production workloads.
  2. Architect distributed systems for high throughput, low latency, and reliability at scale.
  3. Build robust APIs, data pipelines, and internal tooling to support model training, evaluation, deployment, and monitoring.
  4. Collaborate closely with AI researchers, ML engineers, and product teams to translate research into production-grade systems.
  5. Optimize system performance, reliability, and cost-efficiency across large-scale compute environments.
  6. Drive engineering best practices including testing, documentation, observability, and CI/CD.


What We’re Looking For

  1. 5+ years of professional backend software engineering experience (or equivalent demonstrated expertise).
  2. Strong proficiency in one or more backend languages such as Python, Go, Rust, Java, or C++.
  3. Deep experience designing and operating distributed systems and APIs at scale.
  4. Strong understanding of databases, caching systems, and messaging systems (e.g., Postgres, Redis, Kafka, etc.).
  5. Experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
  6. Excellent problem-solving ability and engineering judgment.
  7. Strong communication skills and a collaborative mindset.


Nice to Have

  1. Experience building infrastructure for ML/AI workloads.
  2. Familiarity with large-scale training systems, GPU orchestration, or model serving platforms.
  3. Experience at high-growth startups or top-tier technology companies.
  4. Open-source contributions or published technical work.


Why Join Us

  1. Compensation: Base salary up to $300,000, plus meaningful equity and comprehensive benefits.
  2. Impact: Work directly on core systems powering next-generation AI models.
  3. Team: Collaborate with world-class researchers and engineers.
  4. Growth: Rapid learning, technical ownership, and career acceleration.
  5. Flexibility: Fully remote role with a San Francisco-based listing.


Our Benefits

  1. Competitive salary + equity
  2. Premium health, dental, and vision insurance
  3. Flexible PTO
  4. Home office and equipment stipend
  5. Annual learning & development budget

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