Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will support a fundamental transformation in customer support by enabling the shift from manual processes to AI-driven, intelligent interactions. You will help build the critical "front door" connecting next-generation AI agents to millions of users and deliver cloud-based "last-mile" integrations that power seamless, intelligent conversations across chat and voice platforms. You will play a key role in ensuring Generative AI experiences are reliable, scalable, and intelligent for customers. As a highly technical, action-oriented developer with expertise in the telephony stack including PSTN, SIP, WebRTC, and real-time media streaming. You will contribute to the first-party development of core integration platforms and help define the future of customer interaction in an applied AI environment.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.
The Canada base salary range for this full-time position is CAD 182,000-187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive the end-to-end development of cloud-based communication systems, serving as the team’s primary knowledge expert to define the technical direction for all telephony integrations with AI agents.
- Serve as a key technical leader, digging into system design, performance, and reliability issues, specifically within PSTN, SIP, and WebRTC to guide the team toward low-latency solutions.
- Define and deliver the technical designs for integrating AI agents into various ecosystems of first-party and third-party chat and voice surfaces, ensuring seamless media streaming and protocol management.
- Manage technical engagement and co-development efforts with external partners, bridging traditional telephony infrastructure with a next-generation AI platform.
- Operate in an action-oriented, agile environment while collaborating with Product Management, User Experience (UX), and AI research teams to accelerate development, define requirements and deliver AI-powered customer support experience in a rapidly evolving domain.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- Experience in Telephony and ISP infrastructure, including PSTN, SIP trunking, and network protocols (e.g., TCP/UDP) for high-availability voice services.
- Experience with Carrier and ISP-level integrations, including Session Border Controllers (SBCs), private branch exchanges (PBX), and connecting AI agents to global telecommunications networks.
- Experience with Generative AI, large language models, or conversational AI systems, and developing AI agents or agentic frameworks.
- Experience guiding cross-functional projects and managing technical collaborations with partners and vendors.
- Experience building available, low-latency, scalable distributed systems for real-time communication.
- Experience building WebRTC solutions, NAT traversal, signaling, and media engine optimization for low-latency, bi-directional audio.