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Applied Intuition

Builds software for autonomous vehicles

Software Engineer - Control Center

Backend EngineeringUpdated on Nov 11
Full-timeSunnyvale, CA, USA$152k - $255k /yr

About the Job

Requirements

  • A bachelor's degree in a related field is required.
  • At least 4 years of experience designing, building, and operating production distributed systems using Go, C++, or Python.
  • Hands-on experience with high-throughput streaming architectures, event-driven systems, or time-series data management, such as Kafka, gRPC, or time-series databases.
  • Expertise in data modeling, API design, and distributed consensus, with a focus on reliability, fault tolerance, and security.
  • Ability to manage the full software lifecycle, including CI/CD, telemetry and observability, on-call rotations, and root-cause analysis for edge-case failures.
  • Ability to take vague requirements, break down complex domain problems, and make pragmatic trade-offs in a fast-paced environment.
  • Excellent communication skills and a track record of bridging technical gaps between cloud software and hardware platforms.

Responsibilities

  • Architect, implement, scale, and maintain critical Control Center subsystems, including high-throughput telemetry ingestion, live asset state tracking, and mission orchestration.
  • Design cloud and edge services where performance and correctness affect physical safety, including geofence enforcement, proximity alerts, and remote mission execution.
  • Collaborate 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 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 improve platform reliability.

Desired Qualifications

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

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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