Dein persönlicher KI-Karriere-Agent
.ML Infrastructure & Validation Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C/C++
- MLIR
- LLVM
- Vulkan
- Cuda
- Metal
- OpenCL
- AI accelerators
- CPUs
- GPUs
- NPUs/accelerators
Benefits
Attraktive Vergütung
- Equity
Weiterbildungsangebote
- Opportunities to learn and evolve
Flexibles Arbeiten
- Flexible work
Team Events & Ausflüge
- Dedicated regular events
- Team retreats
- Home
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- .ML Infrastructure & Validation Engineer.ML Infrastructure & Validation Engineer bei Roofline
.ML Infrastructure & Validation Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C/C++
- MLIR
- LLVM
- Vulkan
- Cuda
- Metal
- OpenCL
- AI accelerators
- CPUs
- GPUs
- NPUs/accelerators
Benefits
Attraktive Vergütung
- Equity
Weiterbildungsangebote
- Opportunities to learn and evolve
Flexibles Arbeiten
- Flexible work
Team Events & Ausflüge
- Dedicated regular events
- Team retreats
Über das Unternehmen
Roofline
Branche
IT
Beschreibung
The company is building a software development kit to run any model on disruptive hardware at the edge, focusing on AI applications.
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