AUTOSAR Jobs
7 AUTOSAR jobs currently listed
Browse 7 open positions that require AUTOSAR experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 4 companies hiring
- Mostly Senior roles
- Often paired with C++, Python, Linux, QNX
- Top locations: London, Munich, Graz
- 1 new in the last 7 days
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Wayve 6 days ago
Hybrid
Embedded Automotive Platforms Software Engineer
London, United Kingdom - English
C++ Linux QNX
Wayve 3 weeks ago
Hybrid
HIL System Engineer
London, United Kingdom - English
dSPACE NI Vector Kvaser Linux
Wayve 3 months ago Open for 98+ days Reposted 3 time(s)
Hybrid
Application Software Engineer - Relocation to Tokyo
Tokyo, Japan - English
C C++ Bash Python Linux +6
The Exploration Company 3 months ago Open for 119+ days
Principal Flight Software Engineer
Munich, Germany - English
C++ Python
The Exploration Company 8 months ago Open for 247+ days
On-site
Senior Flight Software Engineer
Munich, Germany - English
C++ Python
Frequently Asked Questions
- There are currently 7 open positions that list AUTOSAR as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find AUTOSAR jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.