Sr Software Engineer, AI Agent Platform

Motorola Solutions•Ontario,Canada Offsite, ON

About The Position

Motorola Solutions is seeking a Sr Software Engineer to join the AI Agent Platform team behind Hyper's emergency response products. This role involves setting technical direction, leading the architecture of critical systems, and shaping long-term technical strategy. The engineer will mentor other engineers, tackle complex cross-cutting problems including real-time AI pipelines, telephony, backend infrastructure, and product surfaces. The position requires a strong focus on quality, judgment, and shipping mission-critical software, with engineers expected to use AI agents in their own work while maintaining human oversight for quality and deployment decisions.

Requirements

Production software engineering experience, with a clear track record of technical leadership.
Designed, shipped, and operated large, complex systems in high-stakes domains.
Comfortable working across backend, infrastructure, AI pipelines, and product surfaces.
Ability to turn ambiguous product or operational problems into clear technical plans for the team.
Daily use of AI tools, with the ability to set standards for responsible and quality-focused use.
Strong engineering practices around tests, observability, code review, security, and clean abstractions.
Effective mentorship skills, enabling engineers around you to improve.
Strong product judgment and a deep care for the end-users of the product.
Thrive in a small, fast-moving team with high ownership and low ego, with the ability to scale that culture.
Desire to work on impactful AI systems.
10+ years of experience in Realtime communication systems with deep expertise in Speech-to-Text, Text-to-Speech, Voice Activity Detection and architecting LLM, agentic, or RAG systems in production, including evals and prompt test harnesses at scale.

Nice To Haves

Deep expertise in Speech-to-Text, Text-to-Speech, Voice Activity Detection, endpointing, interruption handling, noise filtering, diarization, or audio streaming.
Telephony and voice infrastructure: PSTN, SIP trunking, PBX, and call routing.
Real-time communication systems using WebRTC, WebSockets, RTP/SRTP, media streaming, or low-latency audio transport — including operating these systems under production load.
Real-time, concurrent, or distributed systems using Elixir, Go, Python, Rust or similar languages.
PostgreSQL and strong data modeling fundamentals at scale.
Cloud infrastructure on AWS, Azure, or GCP.
Containerized application environments operated in production.
Technical leadership in public safety, govtech, healthcare, defense, infrastructure, fintech, or other high-trust domains.

Responsibilities

Lead the design and operation of real-time voice AI systems that support human 911 telecommunicators at scale.
Identify and solve the hardest problems in our stack: low-latency audio, streaming, telephony, LLM orchestration, and human-in-the-loop AI workflows.
Drive engineering excellence across reliability, availability, security, and performance — defining the standards the team operates by.
Partner with product, design, and operations leadership to translate ambiguous customer and operational problems into technical strategy.
Mentor engineers; raise the floor and the ceiling of the team’s technical work through reviews, design feedback, and pairing.
Build and evolve evaluation, testing, and observability frameworks for AI-assisted systems.
Lead incident response and post-incident reviews; own runbook quality and on-call health for the systems the team is responsible for.
Represent engineering in conversations with public safety customers, partners, and Motorola Solutions stakeholders when deep technical credibility is required.