Motorola Solutions
Motorola Solutions
Motorola Solutions қоғамдық қауіпсіздік, қорғаныс және аса маңызды коммуникациялар салаларына арналған технологияларды әзірлейді. Компанияның өнімдер мен қызметтер портфеліне аса маңызды міндеттерге арналған P25 және кәсіби DMR радиостанциялары, кең жолақты құрылғылар, жасанды интеллектпен жабдықталған бейнеқауіпсіздік жүйелері, командалық орталық шешімдері және басқарылатын қолдау қызметтері кіреді. Компания сенімді үйлестіру мен жедел әрекет ету аса қажет болатын қоғамдық қауіпсіздік, құқық қорғау, білім беру, денсаулық сақтау және басқа да салалардағы ұйымдарға қызмет көрсетеді. Оның шешімдері командалардың байланыста болуына, болып жатқан жағдайларды түсінуіне және күрделі ортада негізделген шешімдер қабылдауына көмектесу үшін жасалған.

Junior Software Engineer, AI Agent Platform — Canada Remote

Develop real-time voice AI and LLM systems for Motorola Solutions’ emergency-response products. Build telephony, backend, streaming, and human-in-the-loop capabilities.

Сипаттама

  • Develop real-time voice AI capabilities for emergency-response workflows
  • Design and operate LLM-powered systems that support 911 telecommunicators
  • Deliver features across backend services, AI pipelines, frontend interfaces, and internal tools
  • Build low-latency audio processing, streaming, telephony integration, and human-in-the-loop AI workflows
  • Bring speech models, LLMs, and emerging AI technologies into production systems
  • Establish disciplined practices for testing, code review, observability, and security
  • Strengthen evaluation, testing, and observability for AI-assisted systems
  • Join on-call coverage, including supported shadow rotations
  • Contribute to blameless post-incident reviews
  • Investigate systems, ask thoughtful questions, and offer fresh perspectives
  • Partner with experienced engineers across real-time AI pipelines, telephony, backend infrastructure, and product surfaces
  • Help shape architecture, develop core product features, and advance AI-agent engineering practices

Талаптар

  • Bachelor’s degree
  • Experience with LLMs, AI agents, AI pipelines, retrieval-augmented generation, evaluations, or prompt test harnesses
  • Strong engineering fundamentals, curiosity, learning agility, and problem-solving skills
  • Coursework, internships, research, and personal projects are considered relevant experience
  • Exposure to speech-to-text, text-to-speech, voice activity detection, endpointing, interruption handling, noise filtering, diarization, or audio streaming
  • Exposure to telephony and voice infrastructure such as PSTN, SIP trunking, PBX, and call routing
  • Exposure to WebRTC, WebSockets, RTP/SRTP, media streaming, or low-latency audio transport
  • Programming experience in Elixir, Go, Python, Rust, or similar languages
  • Familiarity with PostgreSQL or relational data modeling
  • Exposure to AWS, Azure, or Google Cloud infrastructure
  • Experience with Docker, Kubernetes, or comparable deployment environments
  • Under 10% travel and legal eligibility to work in the applicable Canadian location.
  • benefits

Артықшылықтар

  • Referral payment plan
  • Inclusive, accessible recruiting experience
  • Reasonable accommodation support for candidates with disabilities or health conditions
  • Equal-opportunity employment

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