RooflineAI
AI Compiler Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Köln
New Job?Nejo!
Your personal AI career agent
RORoofline
.ML Infrastructure & Validation Engineer(m/w/x)
Köln
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing ML model benchmarking and validation infrastructure for edge AI deployment. Python, C/C++ and software engineering principles knowledge required. Equity, flexible work, and team retreats.
Requirements
- Knowledge and hands-on experience in Python, C/C++
- Degree in Computer Science, Electrical Engineering, or related field
- Proven understanding of software engineering principles, data structures, design patterns, and algorithms
- Ambition and curiosity to solve complex problems
- Strong mindset to take ownership of tasks
- Collaborative attitude to foster culture
- Ownership beyond immediate tasks
- Keeping tools and pipelines reliable and improved
- Experience as Quality Assurance or Test Engineer
- Experience working compilers, particularly MLIR or LLVM
- Experience with compute frameworks like Vulkan, Cuda, Metal or OpenCL
- Knowledge of AI algorithms
- Experience using AI accelerators or compiling to relevant hardware
- Knowledge of data motion networks
- Knowledge of data flow programming models
- Knowledge of optimized AI libraries
- Knowledge about hardware architectures of CPUs, GPUs, or NPUs/accelerators is a plus
- Experience with Python
Tasks
- Design ML model benchmarking infrastructure
- Maintain and evolve validation infrastructure
- Measure model correctness and performance
- Identify regressions across compiler releases
- Validate compiled models in third-party stacks
- Uncover integration issues and performance gaps
- Collaborate with compiler and runtime engineers
- Reproduce and diagnose complex failures
- Root-cause issues in software and hardware environments
- Build scalable test pipelines
- Cover diverse models and workloads
- Ensure test pipelines match hardware targets
- Contribute test cases and benchmarks
- Enhance tooling for robustness and observability
- Improve long-term reliability of ML compiler
- Own build system evolution
- Ensure CI/CD infrastructure performance
- Match CI/CD to compiler project demands
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C/C++
- MLIR
- LLVM
- Vulkan
- Cuda
- Metal
- OpenCL
- AI accelerators
- CPUs
- GPUs
- NPUs/accelerators
Benefits
Competitive Pay
- Equity
Learning & Development
- Opportunities to learn and evolve
Flexible Working
- Flexible work
Team Events
- Dedicated regular events
- Team retreats
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roofline 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?
- KI group GmbH
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedKöln, München - Roofline
Master Thesis(m/w/x)
Full-time/Part-timeInternshipWith HomeofficeKöln - Redcare Pharmacy
Senior MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorKöln - ONIQ
Lead DevOps Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorKöln, Berlin
RORoofline
.ML Infrastructure & Validation Engineer(m/w/x)
Köln
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing ML model benchmarking and validation infrastructure for edge AI deployment. Python, C/C++ and software engineering principles knowledge required. Equity, flexible work, and team retreats.
Requirements
- Knowledge and hands-on experience in Python, C/C++
- Degree in Computer Science, Electrical Engineering, or related field
- Proven understanding of software engineering principles, data structures, design patterns, and algorithms
- Ambition and curiosity to solve complex problems
- Strong mindset to take ownership of tasks
- Collaborative attitude to foster culture
- Ownership beyond immediate tasks
- Keeping tools and pipelines reliable and improved
- Experience as Quality Assurance or Test Engineer
- Experience working compilers, particularly MLIR or LLVM
- Experience with compute frameworks like Vulkan, Cuda, Metal or OpenCL
- Knowledge of AI algorithms
- Experience using AI accelerators or compiling to relevant hardware
- Knowledge of data motion networks
- Knowledge of data flow programming models
- Knowledge of optimized AI libraries
- Knowledge about hardware architectures of CPUs, GPUs, or NPUs/accelerators is a plus
- Experience with Python
Tasks
- Design ML model benchmarking infrastructure
- Maintain and evolve validation infrastructure
- Measure model correctness and performance
- Identify regressions across compiler releases
- Validate compiled models in third-party stacks
- Uncover integration issues and performance gaps
- Collaborate with compiler and runtime engineers
- Reproduce and diagnose complex failures
- Root-cause issues in software and hardware environments
- Build scalable test pipelines
- Cover diverse models and workloads
- Ensure test pipelines match hardware targets
- Contribute test cases and benchmarks
- Enhance tooling for robustness and observability
- Improve long-term reliability of ML compiler
- Own build system evolution
- Ensure CI/CD infrastructure performance
- Match CI/CD to compiler project demands
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C/C++
- MLIR
- LLVM
- Vulkan
- Cuda
- Metal
- OpenCL
- AI accelerators
- CPUs
- GPUs
- NPUs/accelerators
Benefits
Competitive Pay
- Equity
Learning & Development
- Opportunities to learn and evolve
Flexible Working
- Flexible work
Team Events
- Dedicated regular events
- Team retreats
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roofline 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
Roofline
Industry
IT
Description
The company is building a software development kit to run any model on disruptive hardware at the edge, focusing on AI applications.
Not a perfect match?
- RooflineAI
AI Compiler Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedKöln - KI group GmbH
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedKöln, München - Roofline
Master Thesis(m/w/x)
Full-time/Part-timeInternshipWith HomeofficeKöln - Redcare Pharmacy
Senior MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorKöln - ONIQ
Lead DevOps Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorKöln, Berlin