Real-Time Systems Engineer - Control Center

applied; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health & dental

401k with match

Paid time off

Equity

Job summary

Applied Intuition, Inc. is seeking a Software Engineer for the Control Center team to build the central platform that connects autonomous fleets to human operators across industries. You will own core backend domains, scaling high-throughput services from cloud to air-gapped on‑prem environments.

The role demands strong production ownership, reliability, and security with real-time data processing and cross-functional collaboration with autonomy, perception, and vehicle-platform teams.

Qualifications

• Experience designing, building, and operating production distributed systems.
• Strong focus on reliability, fault tolerance, and security.
• Comfort with CI/CD, telemetry/observability, and on-call rotations.
• Ability to translate vague requirements into pragmatic solutions.
• Excellent communication across cloud and hardware teams.

Responsibilities

• Architect, implement, scale, and maintain critical control center subsystems.
• Design cloud and edge services for performance and safety.
• Collaborate with autonomy, perception, and vehicle-platform teams on APIs and data protocols.
• Build data pipelines and APIs for high-volume vehicle metrics and state updates.
• Deploy, observe, and harden SaaS services across cloud and on-prem environments.
• Partner with field engineers to debug fleet operations and improve platform reliability.

Skills

Backend systems

Real-time data

API design

Production ownership

Cross-functional collaboration

Safety/compliance

Education

Bachelor's degree in CS or related field

Tools

Go

C++

Python

Kubernetes

Kafka

gRPC

Job description

Applied Intuition, Inc. is seeking a Software Engineer for the Control Center team to build the central platform that connects autonomous fleets to human operators across industries. You will own core backend domains, scaling high-throughput services from cloud to air-gapped on‑prem environments.

The role demands strong production ownership, reliability, and security with real-time data processing and cross-functional collaboration with autonomy, perception, and vehicle-platform teams.