Staff Software Engineer, Speech

We9re seeking a Staff Software Engineer with audio or multimedia experience to serve as technical lead for Speech at Rad AI. You9ll set technical direction, mentor engineers, and partner with Research Scientists, Infrastructure, and Product to build a responsive, high-performance Speech Platform for radiologists. What You9ll Be Doing: • Act as technical lead for the Speech function: set direction, drive architecture decisions, and mentor engineers • Partner with Research Scientists to take speech models from evaluation to production • Build and evolve real-time audio capture and streaming in our React/TypeScript web application • Design and operate the distributed Python backend services that power our speech platform • Contribute to the infrastructure behind our speech systems • Debug and improve production reliability and performance using modern observability tools • Work with Product, UX, and Customer Success to ship features in a high-scale, HIPAA-compliant environment Who We9re Looking For: • 7+ years of industry experience developing audio or multimedia software • Strong full-stack skills: in-depth TypeScript/React and Python • Experience with browser audio APIs (Web Audio, AudioWorklet) and real-time audio streaming • Strong experience with WebSockets and real-time client-server communication • Experience building and operating distributed systems • Comfortable debugging production issues with observability tools (e.g. Sentry, Grafana) • Proven technical leadership: mentoring engineers and driving technical direction across a team • Strong testing practices (unit and integration) and experience on distributed teams Nice to Haves: • Experience with FastAPI, SQLAlchemy, and PostgreSQL • Experience with Infrastructure as code, particularly Terraform • Experience with ASR/STT, or ML-driven products such as speech recognition or NLP, from model evaluation (e.g. word error rate) through rollout and production monitoring • Experience with spec-driven development and AI-assisted engineering tools (e.g. Claude Code) • Experience in HIPAA-compliant environments, especially FHIR and HL7 • Experience working at startups • Experience with 3rd-party integrations such as Auth0 • Experience with relational and document based databases, as well as other large scale data storage paradigms Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you9re passionate about driving innovation and delivering impactful healthcare solutions, we9d love to hear from you! Location Details: For roles listed as San Francisco - Onsite: • This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs. For roles listed as United States - Remote: • This role is open to candidates located anywhere in the United States. For roles listed as San Francisco - Onsite + United States - Remote: • We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States. For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: • Comprehensive Medical, Dental, Vision & Life insurance • HSA (with employer match), FSA, & DCFSA • 401(k) • 11 Paid Company Holidays • Flexible PTO policy • Annual company-wide offsite • Periodic team offsites • Annual equipment stipend • For roles based outside the US, your recruiter can share more details