Axelera AI
Senior/Staff AI Graph Compiler Engineer(m/w/x)
Full-timeRemoteExperienced
Zürich
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AXAxelera AI
Senior/Staff Applications Engineer - Embedded AI(m/w/x)
Zürich, München
Full-timeRemoteExperienced
AI/ML
Nejo AI Summary
Developing customer-facing components for Voyager SDK, optimizing ML pipelines on heterogeneous hardware, writing low-level computer vision operators at an AI platform developer. Hands-on experience with edge deployment frameworks (OpenVINO, TensorRT) and building end-to-end pipelines with quantized models required. Option to get company shares.
Requirements
- BS/MS in Computer Science, Electrical Engineering or equivalent work experience
- Proven hands-on experience with edge deployment frameworks such as OpenVINO or TensorRT
- Familiarity with model optimisation techniques such as quantization, compression and pruning
- Proficiency in AI application development using Python with extensive experience in ML libraries such as PyTorch and TensorFlow
- Demonstrated ability to build and deploy end-to-end pipelines with quantized models
- Experience in training models using transfer learning to leverage pre-trained models for new tasks
- Experience with MLIR and ONNXRuntime
- Strong problem-solving skills and ability to troubleshoot complex problems
- Proficient Linux skills
- Practical knowledge of agile development using tools such as Jira, Git and GitHub
- Self-motivated with ability to thrive in a fast-paced collaborative startup environment
Tasks
- Develop customer-facing components of the Voyager SDK
- Compile high-level graphical representations of ML-based pipelines
- Optimize memory usage and synchronization on heterogeneous hardware
- Write low-level implementations of computer vision operators
- Study research papers and open-source code for model deployment
- Evaluate performance and accuracy of new models using the SDK
- Implement image pre and post-processing operators
- Collaborate with the compiler team to troubleshoot issues
- Write decoders to transform inference tensors to metadata
- Integrate industry-standard model frameworks within the SDK
- Define metadata representations for common model types
- Create libraries for evaluating model accuracy on Axelera AI hardware
- Develop libraries for visually rendering inference results
- Optimize end-to-end pipeline latency and throughput
- Identify and resolve bottlenecks on supported hardware platforms
- Develop profiling tools for customer pipeline analysis
- Write and maintain comprehensive product documentation
- Share knowledge with team members and promote best practices
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- OpenVINO
- TensorRT
- Python
- PyTorch
- TensorFlow
- MLIR
- ONNXRuntime
- Linux
- Jira
- Git
- GitHub
Benefits
Competitive Pay
- Attractive compensation package
- Option to get company shares
Retirement Plans
- Pension plan
Healthcare & Fitness
- Extensive employee insurances
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Axelera AI 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.
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AXAxelera AI
Senior/Staff Applications Engineer - Embedded AI(m/w/x)
Zürich, München
Full-timeRemoteExperienced
AI/ML
Nejo AI Summary
Developing customer-facing components for Voyager SDK, optimizing ML pipelines on heterogeneous hardware, writing low-level computer vision operators at an AI platform developer. Hands-on experience with edge deployment frameworks (OpenVINO, TensorRT) and building end-to-end pipelines with quantized models required. Option to get company shares.
Requirements
- BS/MS in Computer Science, Electrical Engineering or equivalent work experience
- Proven hands-on experience with edge deployment frameworks such as OpenVINO or TensorRT
- Familiarity with model optimisation techniques such as quantization, compression and pruning
- Proficiency in AI application development using Python with extensive experience in ML libraries such as PyTorch and TensorFlow
- Demonstrated ability to build and deploy end-to-end pipelines with quantized models
- Experience in training models using transfer learning to leverage pre-trained models for new tasks
- Experience with MLIR and ONNXRuntime
- Strong problem-solving skills and ability to troubleshoot complex problems
- Proficient Linux skills
- Practical knowledge of agile development using tools such as Jira, Git and GitHub
- Self-motivated with ability to thrive in a fast-paced collaborative startup environment
Tasks
- Develop customer-facing components of the Voyager SDK
- Compile high-level graphical representations of ML-based pipelines
- Optimize memory usage and synchronization on heterogeneous hardware
- Write low-level implementations of computer vision operators
- Study research papers and open-source code for model deployment
- Evaluate performance and accuracy of new models using the SDK
- Implement image pre and post-processing operators
- Collaborate with the compiler team to troubleshoot issues
- Write decoders to transform inference tensors to metadata
- Integrate industry-standard model frameworks within the SDK
- Define metadata representations for common model types
- Create libraries for evaluating model accuracy on Axelera AI hardware
- Develop libraries for visually rendering inference results
- Optimize end-to-end pipeline latency and throughput
- Identify and resolve bottlenecks on supported hardware platforms
- Develop profiling tools for customer pipeline analysis
- Write and maintain comprehensive product documentation
- Share knowledge with team members and promote best practices
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- OpenVINO
- TensorRT
- Python
- PyTorch
- TensorFlow
- MLIR
- ONNXRuntime
- Linux
- Jira
- Git
- GitHub
Benefits
Competitive Pay
- Attractive compensation package
- Option to get company shares
Retirement Plans
- Pension plan
Healthcare & Fitness
- Extensive employee insurances
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Axelera AI 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
Axelera AI
Industry
IT
Description
The company is creating the next-generation AI platform to support advancements in humanity and improve the world.
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