Natera

1 month ago

Senior Software Engineer, Voice AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead the design and delivery of a production voice AI platform for healthcare, enabling automated test status, identity verification, and real-time routing to agents. Own end-to-end voice stack from telephony to LLM orchestration and analytics, tackling real-time audio streaming, latency, VAD tuning, and agentic workflows that improve patient access to genetic testing results.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the end-to-end voice AI architecture — from Twilio media streams through LLM orchestration to TTS output and call disposition
•Design and implement multi-agent systems using tool calling, agent handoffs, and shared conversation state for complex patient workflows
•Build and optimize real-time audio pipelines — WebSocket streaming, codec handling, VAD configuration, and interruption management
•Architect analytics and observability infrastructure for voice-specific metrics: per-segment latency, call efficacy, disposition accuracy, and ASR error rates
•Solve voice-specific challenges: turn-taking timing, silence detection thresholds, barge-in recovery, medical term recognition, and end-to-end latency optimization

Pay and Benefits

Perks:Health Insurance401kRemote WorkPaid LeaveDentalVisionLife InsuranceDisability

Key Requirements

•5+ years of software engineering experience, with at least 2 years building production voice AI or conversational AI systems
•Deep experience with voice AI pipelines — end-to-end flow from telephony through STT, LLM processing, TTS, and back to the caller
•Production experience with agentic architectures — multi-agent orchestration, tool calling, agent handoffs, memory/state management, and LLM-driven decision making in real-time conversation contexts
•Strong understanding of voice-specific challenges: VAD tuning, turn-taking, interruption/barge-in handling, latency budgets, audio codec management
•Hands-on experience with telephony systems — Twilio (media streams, SIP, IVR), or equivalent platforms with WebSocket-based audio streaming

Experience:5+ yearsHealthcareBiotech

Skills:TypeScriptNode.jsTwilioWebSocketLLMOpenAIDeepgramElevenLabsAzure SpeechTTSSTTNestJSAPI Gateway

Languages:English

Tech Stack:TypeScriptNode.jsTwilioWebSocketLLMOpenAIDeepgramElevenLabsAzure SpeechTTSSTTNestJSAPI Gateway

Company Brief

Natera

Develops and commercializes genetic testing and diagnostics focused on reproductive health, oncology, and organ transplant to inform clinical decision-making and improve patient outcomes.

Industry: Diagnostics

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Carlos, United States

Founded: 2004

Website LinkedIn

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Natera

1 month ago

Senior Software Engineer, Voice AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the end-to-end voice AI architecture — from Twilio media streams through LLM orchestration to TTS output and call disposition
•Design and implement multi-agent systems using tool calling, agent handoffs, and shared conversation state for complex patient workflows
•Build and optimize real-time audio pipelines — WebSocket streaming, codec handling, VAD configuration, and interruption management
•Architect analytics and observability infrastructure for voice-specific metrics: per-segment latency, call efficacy, disposition accuracy, and ASR error rates
•Solve voice-specific challenges: turn-taking timing, silence detection thresholds, barge-in recovery, medical term recognition, and end-to-end latency optimization

Pay and Benefits

Perks:Health Insurance401kRemote WorkPaid LeaveDentalVisionLife InsuranceDisability

Key Requirements

•5+ years of software engineering experience, with at least 2 years building production voice AI or conversational AI systems
•Deep experience with voice AI pipelines — end-to-end flow from telephony through STT, LLM processing, TTS, and back to the caller
•Production experience with agentic architectures — multi-agent orchestration, tool calling, agent handoffs, memory/state management, and LLM-driven decision making in real-time conversation contexts
•Strong understanding of voice-specific challenges: VAD tuning, turn-taking, interruption/barge-in handling, latency budgets, audio codec management
•Hands-on experience with telephony systems — Twilio (media streams, SIP, IVR), or equivalent platforms with WebSocket-based audio streaming

Experience:5+ yearsHealthcareBiotech

Skills:TypeScriptNode.jsTwilioWebSocketLLMOpenAIDeepgramElevenLabsAzure SpeechTTSSTTNestJSAPI Gateway

Languages:English

Tech Stack:TypeScriptNode.jsTwilioWebSocketLLMOpenAIDeepgramElevenLabsAzure SpeechTTSSTTNestJSAPI Gateway

Company Brief

Natera

Develops and commercializes genetic testing and diagnostics focused on reproductive health, oncology, and organ transplant to inform clinical decision-making and improve patient outcomes.

Industry: Diagnostics

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Carlos, United States

Founded: 2004

Website LinkedIn