Software Engineer - Control Center at Applied Intuition in Sunnyvale

Job description

• Application
• As a Software Engineer on the Control Center team, you will build the central operational platform that connects autonomous vehicle fleets to human operators across a wide range of industries including mining, commercial trucking, defense, industrial automation, and consumer AVs.
• Control Center acts as the central nervous system for autonomous operations, handling everything from continuous telemetry ingestion and real-time digital twins to mission orchestration, safety-critical geofencing, and site-wide path planning.
• In this role, you will own core platform domains end-to-end, building low-latency, ultra-reliable backend systems that scale across diverse vehicle types and operational environments-from public cloud deployments to air-gapped, on-premise sites.

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

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
• 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).

Skills

Required

• Go
• C++
• Python
• Kafka
• gRPC
• time-series DBs
• System design
• API design
• Distributed consensus
• CI/CD
• Telemetry/observability
• On-call rotations

Preferred

• CAN
• MQTT
• DDS
• SOME/IP
• Kubernetes

Benefits

• $135K – $185K • Offers Equity
• Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
• Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.