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Founding engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Voice Cursor
Full Time, Part Time position
Listed on 2026-04-17
Job specializations:
  • Software Development
    Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 200000 USD Yearly USD 100000.00 200000.00 YEAR
Job Description & How to Apply Below

Voice Cursor is transforming how we interact with technology by introducing a voice-first alternative to traditional typing. Designed as a lightning-fast, native voice input tool, it enables users to seamlessly speak across all applications, understanding context and adapting to workflows naturally. By eliminating the bottlenecks of typing, Voice Cursor empowers users to save 10-15 hours per week and work "at the speed of thought."

Our mission is to revolutionize human-computer interaction, building the future of productivity through intuitive voice-driven interfaces. Join us as we create cutting-edge AI technology at the forefront of innovation. Learn more .

Role Description

This is a full-time, on-site role based in the San Francisco Bay Area. As a Founding Engineer, you will play a pivotal role in shaping the technical foundation of Voice Cursor. Your day-to-day responsibilities will include designing, developing, and scaling cutting-edge voice-first technologies, collaborating with cross-functional teams, and experimenting with new ideas to enhance human-computer interaction. You will lead the implementation of innovative AI-powered systems, optimize performance, and play a key role in defining the product roadmap.

In

this Role you will:
  • Lead Context & Perception Engineering:
    Develop and refine Voice Cursor's real-time perception capabilities. You will build systems that securely read operating system states, accessibility trees, semantic structures, and visual surfaces, so our AI understands exactly what the user is looking at.
  • Own the Core Infrastructure:
    Design, build, and optimize the backend systems and low-level client logic that handles real-time audio streaming, LLM orchestration, and action execution.
  • Rapidly ship core updates based on real-world telemetry and performance data, treating latency and system reliability as your primary metrics for success.
  • Engineer how we scale by continuously stripping away unnecessary architectural friction and building highly resilient, modular technical foundations, empowering the whole team to deploy at breakneck speed.
  • Partner with the Product Engineering team to design flexible, API-first contracts, ensuring new AI capabilities and contextual features can be plugged into the user interface seamlessly.
  • Establish robust automated testing and benchmarking guardrails that allow us to leverage AI coding tools to safely accelerate our core development loops without risking regressions in performance or security.
you might thrive in this role if you:
  • Have strong expertise in core systems engineering, with a deep understanding of how low-level technical decisions impact overall latency and reliability.
  • Have experience with, or a strong desire to master, OS-level APIs (Accessibility APIs, window management, audio drivers) across macOS, Windows, iOS, or Android.
  • Possess the hybrid mindset of a builder:
    You care deeply about making something people actually want, balancing hardcore technical optimization with pragmatic, product-driven execution.
  • Are passionate about the future of Human-Computer Interaction (HCI) and are excited to tackle the incredibly complex technical challenge of giving AI real-time, zero-friction context.
  • Are a former founder or have a history of attempting to build and launch your own products from scratch (this entrepreneurial DNA is a massive plus).
Compensation:
  • Cash: $100,000 – $200,000
Interview Process:
  • Hiring Manager Interview (50 min): A deep dive into your professional experience, problem-solving methodology, and team collaboration style.
  • Onsite Interview(3-4 hours): includes a detailed product walkthrough, discussions on cross-functional collaboration, and a final session with the founding team.
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