Applied

Middleware Engineer

Stuttgart. Posted 5 months ago

The role

You will build core middleware components and services for a software-defined vehicle platform. This involves working on distributed systems, high-speed networking, and vehicle communication.

What you will do

  • Design and implement core platform services in C++
  • Develop and extend communication middleware using protocols such as SOME/IP or DDS
  • Work on system-level software within an SDV architecture
  • Apply knowledge of networking and the Ethernet stack
  • Support data logging and recording workflows for sensor data

Required qualifications

  • Solid C++ skills, including familiarity with multi-threading, concurrency patterns, and software design
  • 2+ years of software engineering experience
  • Some exposure to communication middleware (e.g., SOME/IP, DDS, or similar), or a strong desire to build that expertise on the job
  • The initiative to take ownership of technical problems in a fast-paced environment

Nice to have

  • Experience with AUTOSAR Adaptive internals or specific functional clusters
  • Experience with embedded systems or C programming
  • Advanced IPC experience using Protobuf or gRPC
  • Strong familiarity with POSIX/Linux (system calls, runtime behavior, memory management)
  • Experience in real-time or safety-critical distributed systems
  • Familiarity with data logging frameworks or recording infrastructure in an automotive or ADAS context
  • Prior customer-facing experience as a customer or application engineer

Benefits

  • 30 days of paid vacation per year
  • €19 lunch budget and €19 dinner budget daily
  • Free breakfast, snacks, and drinks in the office
  • €965 annual learning & development budget
  • €580 annual fitness budget
  • Subsidized Wellpass membership
  • €25 monthly contribution to your Deutschlandticket for regional public transport across Germany
  • Generous parental leave on top of statutory parental leave

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.