Job details
- Location
- Mountain View, CA
- Work type
- Hybrid
- Compensation
- $136,000 - $164,000/yr
- Visa
- Sponsorship available
- Posted
- 2 weeks ago
- Apply on
- job-boards.greenhouse.io
About this role
Otter.ai is hiring a new-grad backend software engineer to build and improve the systems powering meeting transcription, summarization, and collaboration. The role involves developing production features and services, owning work end-to-end, and collaborating across engineering, product, design, and AI teams.
What you'll do:
- Build and ship production software. Design, implement, test, and deploy features and services that serve real users at scale
- Own problems end-to-end. Take work from idea through design, implementation, rollout, and monitoring
- Design for real-world constraints. Make deliberate tradeoffs across latency, cost, reliability, and quality
- Build clean, scalable systems. Develop backend services, APIs, and async workflows that are maintainable and built to evolve
- Improve quality continuously. Use metrics, logging, user feedback, and experimentation to find problems and make systems better
- Move quickly with modern tools. Use AI-assisted development and modern tooling to prototype and ship fast while keeping a high engineering bar
What they're looking for:
- Has a bachelor's or master's degree in Computer Science or a related field
- Is a recent grad or has up to 1 year of experience building software, with a growing sense of how backend decisions impact user experience
- Writes clean, maintainable code in a modern language (Python, Go, Java, C++, or similar) and has a solid grasp of computer science fundamentals such as data structures, algorithms, and systems basics
- Has some exposure to backend or systems concepts such as APIs, databases, distributed systems, or cloud infrastructure
- Thinks about outcomes, not just implementation, and cares whether what they build is reliable and useful
- Takes ownership of problems end-to-end and collaborates well across product, design, and AI disciplines
- Is comfortable operating in ambiguous, fast-moving environments and can iterate quickly on both product and technical direction
- Any experience (including coursework, projects, or internships) building backend, infrastructure, or product-facing systems
- Experience with cloud platforms (AWS, GCP), containers, or CI/CD
- Any experience with LLM-powered features or ML systems (prompting, evaluation, RAG, speech recognition, etc.)
Benefits:
- Hybrid work
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