Software Engineer - Control Center

Job description

Job responsibilities

• Architect, implement, scale, and maintain critical control center subsystems - from high-throughput telemetry ingestion to live asset state tracking and mission orchestration
• Design cloud and edge services where performance and correctness directly impact physical safety, including geofence enforcement, proximity alerts, and remote mission execution
• Collaborate directly with autonomy, perception, and vehicle-platform teams to establish robust APIs, data protocols, and state synchronization frameworks
• Build resilient data pipelines and APIs that transform high-volume vehicle metrics, logs, and state updates into actionable, queryable intelligence for customers
• Deploy, observe, and harden SaaS services operating across public cloud, private infrastructure, and air-gapped on-premise environments
• Partner with field engineers and deployment leads to debug live fleet operations, resolve real-world edge cases, and continuously close the feedback loop on platform reliability

Job requirements

• Proven backend/systems expertise: 4+ years of experience designing, building, and operating production distributed systems using Go, C++ or Python.
• 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).
• Strong system design & API instincts: Mastery of data modeling, API design, and distributed consensus, with a sharp focus on reliability, fault tolerance, and security.
• 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.
• 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.
• Cross-functional collaboration: Excellent communication skills with a track record of bridging technical gaps between cloud software and hardware platforms