Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Software Engineer for AI Machine Learning Group ConMod
Ingolstadt, DE, 85053
Live, first seen by us 64 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and develop AI and machine-learning components for series development
Build and maintain ML pipelines from data ingestion to inference
Deploy and operate AI systems, including monitoring and performance tuning
Collaborate with data science, software engineering and product teams
Evaluate new AI methods, tools and architectures for practical use
From the employer’s posting
Design and develop AI / machine‑learning components that are integrated into series development processes
Build and maintain ML pipelines, covering data ingestion, preprocessing, training, evaluation and inference
Deploy and operate AI systems in Cariad infrastructure including monitoring, performance optimisation and continuous improvement of model behaviour
Collaborate with cross‑functional teams (data science, software engineering, product) to align AI solutions
Actively monitor AI and machine‑learning developments and evaluate new methods, tools and architectures for practical use
What you’ll bring
All qualificationsCore experience
- Degree in a technical field or comparable qualification
- 30 days paid + 10 days unpaid leave
- Solid knowledge of AI machine‑learning concepts (e.g.
- Proficiency in Python, C++ and experience integrating ML models (ML Ops) into applications or services
- Experience with AI/ML frameworks and tools (e.g.
- Familiarity with cloud platforms and deploying AI workloads in scalable environments MCP servers etc.
Qualification wording
Degree in a technical field or comparable qualification
30 days paid + 10 days unpaid leave
Solid knowledge of AI machine‑learning concepts (e.g. supervised, unsupervised and reinforcement learning) and their real‑world application
Proficiency in Python, C++ and experience integrating ML models (ML Ops) into applications or services
Experience with AI/ML frameworks and tools (e.g. TensorFlow, PyTorch or comparable technologies)
Familiarity with cloud platforms and deploying AI workloads in scalable environments MCP servers etc.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 1, 202664 days ago
- Recorded sightings
- 576
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 64
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
Volkswagen is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Python
- PyTorch
- TensorFlow
Where the posting names them
- Solid knowledge of AI machine‑learning concepts (e.g. supervised, unsupervised and reinforcement learning) and their real‑world application - Proficiency in Python, C++ and experience integrating ML models (ML Ops) into applications or services - Experience with AI/ML frameworks and tools (e.g. TensorFlow, PyTorch or comparable technologies)
- Proficiency in Python, C++ and experience integrating ML models (ML Ops) into applications or services - Experience with AI/ML frameworks and tools (e.g. TensorFlow, PyTorch or comparable technologies) - Familiarity with cloud platforms and deploying AI workloads in scalable environments MCP servers etc.
Your next step
Complete your application on jobs.volkswagen-group.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
Has Volkswagen posted this job before?
Yes. We’ve followed one other Senior Software Engineer for AI Machine Learning Group ConMod job there since September 2026. It is still up.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
YOUR TEAM
The Group ConMod Team is responsible for key areas of software design activities for the future Group ConMod microcontroller (uC) software stack. Working closely with various technical teams, the vision, architecture, as well as the design and implementation of the next embedded software stack for connectivity - used across the entire group - are developed here. The team enjoys exploring new territory, challenging existing approaches, and further developing innovative solutions. As part of CARIAD’s Senior Technical Team, the departmentalso collaborates closely with various stakeholders from the technical units of the Volkswagen Group.
WHAT YOU WILL DO
- Design and develop AI / machine‑learning components that are integrated into series development processes (e.g. bug analysis, system analytics ...)
- Build and maintain ML pipelines, covering data ingestion, preprocessing, training, evaluation and inference for series usecases like bug analysis
- Deploy and operate AI systems in Cariad infrastructure including monitoring, performance optimisation and continuous improvement of model behaviour
- Collaborate with cross‑functional teams (data science, software engineering, product) to align AI solutions
- Actively monitor AI and machine‑learning developments and evaluate new methods, tools and architectures for practical use
- Empower your Team and colleagues with AI tools and share the knowledge within the devTeams
WHO YOU ARE
- Degree in a technical field or comparable qualification
- Strong background in software development with hands‑on experience building and maintaining production systems
- Solid knowledge of AI machine‑learning concepts (e.g. supervised, unsupervised and reinforcement learning) and their real‑world application
- Proficiency in Python, C++ and experience integrating ML models (ML Ops) into applications or services
- Experience with AI/ML frameworks and tools (e.g. TensorFlow, PyTorch or comparable technologies)
- Familiarity with cloud platforms and deploying AI workloads in scalable environments MCP servers etc.
- Understanding of data handling and preparation, including working with large datasets and feature engineering
- Ability to communicate complex technical topics clearly and work effectively in cross‑functional teams
- Professional proficiency in English at C1 level, German language skills are an advantage
NICE TO KNOW
- Remote work options
- Temporary work from abroad in selected countries
- Flextime / optional working hours
- Company pension plan
- Annual professional development
- Sabbatical option up to 6 months
- 30 days paid + 10 days unpaid leave
- Possibility for VW Group car leasing
- If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Ingolstadt, DE, 85053
NICE TO KNOW - Remote work options - Temporary work from abroad in selected countries
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.