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Software Engineer (Control Center)

Applied Intuition

Skills

Required

  • backend / systems
  • telemetry / observability
  • Go / C++ / Python
  • software lifecycle—including
  • CI/CD
  • streaming architectures / event-driven systems / time-series data management
  • Kafka
  • gRPC
  • time-series DBs

Preferred

  • air-gapped / on-prem
  • robotics protocols
  • middleware
  • CAN
  • MQTT
  • DDS
  • Kubernetes
  • cloud-hosted

Join our Control Center team as a Software Engineer, where you will build the central operational platform for autonomous vehicle fleets across various industries. You will own core platform domains, design cloud and edge services, collaborate with cross-functional teams, and manage the full software lifecycle. Ideal candidates have 4+ years of experience in backend/systems expertise, real-time data experience, and excellent communication skills.

Responsibilities

  • Architect, implement, scale, and maintain critical control center subsystems, including high-throughput telemetry ingestion and mission orchestration.
  • Collaborate directly with autonomy, perception, and vehicle-platform teams to establish robust APIs, data protocols, and state synchronization frameworks.
  • Deploy, observe, and harden SaaS services operating across public cloud, private infrastructure, and air-gapped on-premise environments.
  • Strong system design & API instincts: Mastery of data modeling, API design, and distributed consensus, with a sharp focus on reliability, fault tolerance, and security

Requirements

  • Proven backend/systems expertise: 4+ years of experience designing, building, and operating production distributed systems using Go, C++ or Python
  • Product ownership in ambiguous spaces: Ability to take vague requirements, break down complex domain problems, and execute pragmatic trade-offs in a fast-paced environment
  • Production ownership mindset: Comfort managing the full software lifecycle—including CI/CD, telemetry/observability, on-call rotations, and root-cause analysis for edge-case failure modes
  • Real-time data experience: Hands-on experience with high-throughput streaming architectures, event-driven systems, or time-series data management (e.g., Kafka, gRPC, time-series DBs)
  • Cross-functional collaboration: Excellent communication skills with a track record of bridging technical gaps between cloud software and hardware platforms
  • Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles

Preferred

  • Familiarity with robotics protocols and middleware (CAN, MQTT, DDS, SOME/IP)
  • Experience deploying on Kubernetes across cloud-hosted and air-gapped/on-prem environments
  • Background in safety-critical, functional safety, or heavily regulated domains (e.g. mining, automotive, industrial automation)

Pay

USD 135,000 - 185,000

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