Axelera AI
Senior/Staff AI Graph Compiler Engineer(m/w/x)
VollzeitRemoteBerufserfahren
Zürich
Neuer Job?Nejo!
Die KI-Suchmaschine für Jobs
AXAxelera AI
Senior/Staff Applications Engineer - Embedded AI(m/w/x)
Zürich, München
VollzeitRemoteBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- OpenVINO
- TensorRT
- Python
- PyTorch
- TensorFlow
- MLIR
- ONNXRuntime
- Linux
- Jira
- Git
- GitHub
Benefits
Attraktive Vergütung
- Attractive compensation package
- Option to get company shares
Betriebliche Altersvorsorge
- Pension plan
Gesundheits- & Fitnessangebote
- Extensive employee insurances
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Axelera AI erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Axelera AI
Senior/Staff Backend Compiler Engineer(m/w/x)
VollzeitRemoteSeniorZürich - Imnoo AG
CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard(m/w/x)
Vollzeitmit HomeofficeSeniorOpfikon - ANYbotics
Senior AI Research Engineer, Visual Perception(m/w/x)
Vollzeitmit HomeofficeSeniorZürich - Dentsply Sirona
Senior Software Engineer (AI and Machine Learning)(m/w/x)
Vollzeitmit HomeofficeManagementZürich
AXAxelera AI
Senior/Staff Applications Engineer - Embedded AI(m/w/x)
Zürich, München
VollzeitRemoteBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- OpenVINO
- TensorRT
- Python
- PyTorch
- TensorFlow
- MLIR
- ONNXRuntime
- Linux
- Jira
- Git
- GitHub
Benefits
Attraktive Vergütung
- Attractive compensation package
- Option to get company shares
Betriebliche Altersvorsorge
- Pension plan
Gesundheits- & Fitnessangebote
- Extensive employee insurances
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Axelera AI erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Axelera AI
Branche
IT
Beschreibung
The company is creating the next-generation AI platform to support advancements in humanity and improve the world.
Noch nicht perfekt?
- Axelera AI
Senior/Staff AI Graph Compiler Engineer(m/w/x)
VollzeitRemoteBerufserfahrenZürich - Axelera AI
Senior/Staff Backend Compiler Engineer(m/w/x)
VollzeitRemoteSeniorZürich - Imnoo AG
CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard(m/w/x)
Vollzeitmit HomeofficeSeniorOpfikon - ANYbotics
Senior AI Research Engineer, Visual Perception(m/w/x)
Vollzeitmit HomeofficeSeniorZürich - Dentsply Sirona
Senior Software Engineer (AI and Machine Learning)(m/w/x)
Vollzeitmit HomeofficeManagementZürich