Senior Voice & Video Platform DSP Engineer

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.

Build Amazing. Deliver Amazing. Live Amazing. Be Amazing.

Nextiva is building a next-generation voice and video platform to power our Unified Communications (UCaaS) and Contact Center (CCaaS) products. This platform blends open-source components with in-house innovation to deliver carrier-grade quality and 99.999% uptime. We need a Software Engineer to drive development of real-time voice/video services, enhancing call quality and reliability and enabling AI-powered voice features on our unified customer experience (UCXM) platform. You will work on everything from media servers and audio processing to cloud deployment, ensuring our system is scalable, secure, and high performing. We operate with a DevOps culture – engineers own their code from development through production

Key Responsibilities 

• Develop Core Communication Services: Build and maintain backend services for voice/video calling (signaling servers, call routing logic, media gateways) using SIP and WebRTC. Implement features like call setup, conferencing, transfers, and recording with a focus on efficiency and reliability. 
• Enhance Audio Quality (DSP): Implement and tune digital signal processing algorithms for superior call audio. This includes noise suppression, echo cancellation, jitter buffer optimization, and voice activity detection to ensure crystal-clear, uninterrupted communication even on poor networks. 
• Optimize Media & Codecs: Work with real-time media streaming (RTP) and various codecs (Opus, G.711, H.264, etc.). Optimize codec configurations and adapt bitrates on the fly based on network conditions to balance quality and bandwidth. 
• Integrate Voice AI Features: Embed speech-to-text (ASR) and text-to-speech (TTS) capabilities into the platform. Enable AI voice agents to participate in calls by streaming audio to AI services and injecting synthesized speech responses. Manage conversation flow between humans and AI (handling interruptions, timing responses) to make interactions feel natural. 
• Ensure Scalability & Resilience: Design services with a cloud-native approach (microservices, containers) for deployment on Kubernetes. Implement high-availability strategies (clustering, failover) across global data centers so that the platform achieves five-9s uptime with no downtime for maintenance. 
• Performance & Reliability Tuning: Continuously profile and improve system performance end-to-end. Minimize call setup times and audio latency through efficient coding (C/C++ for media processing) and system optimizations. 
• DevOps & Support: Use CI/CD pipelines to deploy updates safely with zero downtime. Write comprehensive automated tests (unit, integration, load) for your features. Participate in on-call rotation to troubleshoot and resolve production issues in real time, and implement lasting solutions to prevent recurrence. 
• Collaboration: Work closely with Product Managers, front-end teams, AI/ML team and with network engineers. 

Qualifications 

• Real-Time Communications: