Motorola Solutions
Motorola Solutions
Motorola Solutions dezvoltă tehnologii pentru siguranță publică, securitate și comunicații esențiale. Portofoliul său include radiouri profesionale P25 și DMR pentru misiuni critice, dispozitive de bandă largă, soluții de securitate video bazate pe inteligență artificială, soluții pentru centre de comandă și servicii de asistență gestionată. Compania deservește organizații din domeniul siguranței publice, al aplicării legii, al educației, al asistenței medicale și din alte sectoare în care coordonarea fiabilă și reacția rapidă sunt esențiale. Soluțiile sale sunt concepute pentru a ajuta echipele să rămână conectate, să înțeleagă evoluția situațiilor și să ia decizii informate în medii solicitante.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

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

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