20 beste Stellen als stack developer in münchen, by – aktuell auf Personalsuche

SW Optimization Engineer AI/ML
Apple —München
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11 Tage
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FLEX Capital Management GmbH —München
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Direkt bewerben
(Senior) Software Engineer JavaScript (m/f/d) - Sports Technology
KINEXON —München
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Ingenics Digital GmbH —Gräfelfing
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Yunex Traffic —München
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Spire —München
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Forward Deployed Engineer, Applied AI, Google Cloud
Google —München
- Vollzeit
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ARX Robotics GmbH —München
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- Englisch
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Quantum Software Engineer - Qrisp
IQM Finland Oy —München
- Python
- Flexible Arbeitszeiten
Senior Fullstack Developer
ImFusion GmbH —München
- Vollzeit
- Azure
- Java
- Datenbanken
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Developer Relations Manager, Retail & Media Entertainment
NVIDIA —München
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GNSS R&D Engineer
Trimble —Höhenkirchen-Siegertsbrunn
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Salesforce Administrator & Developer
Spire Global —München
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Cloud Frontend Engineer
Signaloid —München
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(Senior) Full Stack Developer (m/w/d) Shopify & E-Commerce
PharmaSGP Holding SE —Gräfelfing
- Vollzeit
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Quantum Software Intern
planqc —Garching bei München
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- C++
- Softwareentwicklung
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SpAItial —München
- Vollzeit
- Azure
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Experienced Fullstack Development (m/w/d)
FORMAT D GmbH —München
- DevOps
- JavaScript
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- Weiterbildungsprogramme

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SW Optimization Engineer AI/ML

Apple -
München

Jetzt bewerben

Details zur Stelle

vor 11 Tagen

Qualifikationen

Doktorat
Informatik
PyTorch
Master
C++
C
Bachelor
Computertechnik
Scripting
Softwareentwicklung
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip (SoC) architecture and develop forward-looking prototype systems and software.
Our team is driving performance enhancements in application and system software and developing novel algorithms to deliver integrated, highly optimized solutions based on Apple Silicon.

In this role, you will analyze existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues, you'll address performance limitations and provide recommendations for Apple hardware and software improvements.
In addition to working directly with developers, you will identify patterns of performance challenges on Apple silicon, emerging new usage models, and provide feedback to the silicon and software teams for potential improvements.

Description

Conduct performance studies to inform and validate architecture decisions.
Create optimized implementations of machine learning workloads on Apple Silicon, including Neural Engine, GPU, and CPU.
Collaborate with system teams to create performance models of emerging AI/ML techniques and analyze system architecture trade-offs.
Work with software development tools teams to deliver performance analysis instruments and optimized libraries and frameworks for AI/ML applications.

Preferred Qualifications
M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
10+ years of relevant experience in software performance optimization, performance analysis tools, performance optimization process and development of efficient computational algorithms.
Ability to prototype and benchmark algorithms on CPU, GPU, and Neural Engine platforms, analyze performance metrics, and create high-level complexity models.
Experience with AI/ML, graphics, or HPC performance benchmarks and workloads.
Proficiency in popular AI/ML frameworks, such as PyTorch, and relevant software stacks.
Experience in developing highly efficient low-level performance libraries for AI/ML accelerators or GPUs.
Knowledge of operating system internals and compiler technologies.
Technical aptitude and curiosity, as well as ability to collaborate effectively with team members, partners, and stakeholders.

Minimum Qualifications
Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field.
Knowledge of computer architecture fundamentals.
Proficiency in some of the C/C++ family programming languages, and scripting languages such as Python.
Experience in software development for at least one of the following hardware IPs: AI/ML HW accelerators, GPUs processing units, image/video encoders, or similar.

Jetzt bewerben

Erweiterte Suche

stack developer Jobs in münchen, by

SW Optimization Engineer AI/ML

Central Operations Specialist

Working Student Full Stack Development (all genders)

Simovative - Software Developer (m/w/d) PHP Angular

(Senior) Software Engineer JavaScript (m/f/d) - Sports Technology

Embedded Software Developer (gn)

Senior DevOps Developer (f/m/d)

Salesforce Administrator & Developer

Forward Deployed Engineer, Applied AI, Google Cloud

Software Developer, C++ (m/f/d)

Quantum Software Engineer - Qrisp

Senior Fullstack Developer

Developer Relations Manager, Retail & Media Entertainment

GNSS R&D Engineer

Salesforce Administrator & Developer

Cloud Frontend Engineer

(Senior) Full Stack Developer (m/w/d) Shopify & E-Commerce

Quantum Software Intern

Machine Learning & Cloud Infra Engineer

Experienced Fullstack Development (m/w/d)

Ich möchte aktuelle Job-E-Mails für Stellen als stack developer in münchen, by erhalten

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