BMW Group
Senior MLOps Engineer - Autonomous Driving Platform(m/w/x)
Full-timeOn-siteSenior
München
New Job?Nejo!
The AI Job Search Engine
BMBMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing Machine Learning platform data backbone and standards for automotive mobility. Deep expertise in multi-region cloud setups and petabyte-scale data system design essential. Six weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, Computer/Electrical Engineering or related subjects
- 5-8+ years in ML platform or infrastructure engineering
- At least two years in a tech lead or architect role
- Deep expertise in AWS, Azure or Google cloud (ideally multi-region/multi-account setups)
- Proven track record designing systems for PB-scale data and hundreds of concurrent training jobs
- Understanding of large vision models and compression challenges for automotive-grade SoCs
- Strong knowledge of Kubernetes platform design, GitOps, and infrastructure-as-code
- Excellent communication skills
- Familiarity with edge model compilation toolchains (Qualcomm QNN/AIMET and/or NVIDIA TensorRT/Triton)
- Experience with automotive data at scale (MDF4, MCAP, ROS bags, multi-sensor synchronisation)
Tasks
- Design end-to-end ML platform reference architecture.
- Design PB-scale data-format backbone.
- Set standards for data flows and ingestion.
- Set standards for data cataloguing and transcoding.
- Set standards for PB-scale data partitioning.
- Integrate with dataset management tooling.
- Define platform component topology.
- Define integration contracts for ML platform components.
- Establish model lifecycle governance.
- Define experiment tracking for model lifecycle.
- Define approval gates for model deployment.
- Define model validation criteria.
- Define clear handoff contracts to deployment teams.
- Drive PB-scale cost governance.
- Implement accelerator spot strategies.
- Implement S3 tiering.
- Reduce cross-AZ traffic.
- Right-size Kubernetes clusters.
- Partner with Security, Legal, and Functional-Safety teams.
- Ensure compliance with ISO 26262 and ISO 8800.
- Ensure data protection compliance.
Work Experience
- 5 - 8 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- Google cloud
- SoCs
- Kubernetes
- GitOps
- infrastructure-as-code
- Qualcomm
- QNN
- AIMET
- NVIDIA
- TensorRT
- Triton
- MDF4
- MCAP
- ROS bags
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- BMW Group
Senior AI & Data Platform Engineer(m/w/x)
Full-timeOn-siteSeniorMünchen - BMW Group
Senior AI Platform Engineer(m/w/x)
Full-timeOn-siteSeniorMünchen - BMW Group
Principal AI Vehicle Architect(m/w/x)
Full-timeOn-siteSeniorMünchen - BMW Group
Senior AI & Data Architect(m/w/x)
Full-timeOn-siteSeniorMünchen
BMBMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing Machine Learning platform data backbone and standards for automotive mobility. Deep expertise in multi-region cloud setups and petabyte-scale data system design essential. Six weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, Computer/Electrical Engineering or related subjects
- 5-8+ years in ML platform or infrastructure engineering
- At least two years in a tech lead or architect role
- Deep expertise in AWS, Azure or Google cloud (ideally multi-region/multi-account setups)
- Proven track record designing systems for PB-scale data and hundreds of concurrent training jobs
- Understanding of large vision models and compression challenges for automotive-grade SoCs
- Strong knowledge of Kubernetes platform design, GitOps, and infrastructure-as-code
- Excellent communication skills
- Familiarity with edge model compilation toolchains (Qualcomm QNN/AIMET and/or NVIDIA TensorRT/Triton)
- Experience with automotive data at scale (MDF4, MCAP, ROS bags, multi-sensor synchronisation)
Tasks
- Design end-to-end ML platform reference architecture.
- Design PB-scale data-format backbone.
- Set standards for data flows and ingestion.
- Set standards for data cataloguing and transcoding.
- Set standards for PB-scale data partitioning.
- Integrate with dataset management tooling.
- Define platform component topology.
- Define integration contracts for ML platform components.
- Establish model lifecycle governance.
- Define experiment tracking for model lifecycle.
- Define approval gates for model deployment.
- Define model validation criteria.
- Define clear handoff contracts to deployment teams.
- Drive PB-scale cost governance.
- Implement accelerator spot strategies.
- Implement S3 tiering.
- Reduce cross-AZ traffic.
- Right-size Kubernetes clusters.
- Partner with Security, Legal, and Functional-Safety teams.
- Ensure compliance with ISO 26262 and ISO 8800.
- Ensure data protection compliance.
Work Experience
- 5 - 8 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- Google cloud
- SoCs
- Kubernetes
- GitOps
- infrastructure-as-code
- Qualcomm
- QNN
- AIMET
- NVIDIA
- TensorRT
- Triton
- MDF4
- MCAP
- ROS bags
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
Not a perfect match?
- BMW Group
Senior MLOps Engineer - Autonomous Driving Platform(m/w/x)
Full-timeOn-siteSeniorMünchen - BMW Group
Senior AI & Data Platform Engineer(m/w/x)
Full-timeOn-siteSeniorMünchen - BMW Group
Senior AI Platform Engineer(m/w/x)
Full-timeOn-siteSeniorMünchen - BMW Group
Principal AI Vehicle Architect(m/w/x)
Full-timeOn-siteSeniorMünchen - BMW Group
Senior AI & Data Architect(m/w/x)
Full-timeOn-siteSeniorMünchen