System Software Engineer (Neural Engine) - m/f/d
Apple
System Software Engineer (Neural Engine) - m/f/d
Job Description
The ANE Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon As a system software engineer in the Apple Neural Engine Software team primarily focused on compiler, you will be expected to - Analyze and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms - Develop compiler optimizations to improve latency/bandwidth of our ML models - Develop software across our compiler, framework, driver and firmware - Collaborate closely with model teams to support new machine learning models on our hardware - Conduct performance profiling and diagnostics using and developing specialized tools - Engage with QA teams
Locations
- Munich, Bavaria-Bayern, Germany 80335
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
25,000,000 - 50,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software interfacing with hardwareintermediate
- compiler optimizationsintermediate
- develop software for compilerintermediate
- develop software for frameworkintermediate
- develop software for driverintermediate
- develop software for firmwareintermediate
- collaborate with model teamsintermediate
- support machine learning models on hardwareintermediate
- performance profilingintermediate
- diagnostics using specialized toolsintermediate
- developing specialized toolsintermediate
- engage with QA teamsintermediate
Required Qualifications
- BS and a minimum of 10 years experience with system software development (experience, 10 years)
- Experience with compiler development (experience)
- Excellent programming skills in C, C++ or Python (experience)
Preferred Qualifications
- MS or PhD in computer science, machine learning or related field (degree in phd in computer science)
- Experience in low level software architecture, modeling or validation (experience)
- Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics (experience)
- Proficiency with profiling and optimizing complex software (experience)
- Experience with SoC low level software development, distributed computing or hardware acceleration (experience)
- Strong background in data science and statistical methods, with demonstrated ability to analyze large datasets and present complex insights clearly (experience)
- Experience with MLIR (experience)
- Experience with Swift (experience)
- Strong written and verbal communication skills (experience)
Responsibilities
- As a system software engineer in the Apple Neural Engine Software team primarily focused on compiler, you will be expected to - Analyze and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms - Develop compiler optimizations to improve latency/bandwidth of our ML models - Develop software across our compiler, framework, driver and firmware - Collaborate closely with model teams to support new machine learning models on our hardware - Conduct performance profiling and diagnostics using and developing specialized tools - Engage with QA teams
Tags & Categories
System Software Engineer (Neural Engine) - m/f/d
Apple
System Software Engineer (Neural Engine) - m/f/d
Job Description
The ANE Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon As a system software engineer in the Apple Neural Engine Software team primarily focused on compiler, you will be expected to - Analyze and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms - Develop compiler optimizations to improve latency/bandwidth of our ML models - Develop software across our compiler, framework, driver and firmware - Collaborate closely with model teams to support new machine learning models on our hardware - Conduct performance profiling and diagnostics using and developing specialized tools - Engage with QA teams
Locations
- Munich, Bavaria-Bayern, Germany 80335
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
25,000,000 - 50,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software interfacing with hardwareintermediate
- compiler optimizationsintermediate
- develop software for compilerintermediate
- develop software for frameworkintermediate
- develop software for driverintermediate
- develop software for firmwareintermediate
- collaborate with model teamsintermediate
- support machine learning models on hardwareintermediate
- performance profilingintermediate
- diagnostics using specialized toolsintermediate
- developing specialized toolsintermediate
- engage with QA teamsintermediate
Required Qualifications
- BS and a minimum of 10 years experience with system software development (experience, 10 years)
- Experience with compiler development (experience)
- Excellent programming skills in C, C++ or Python (experience)
Preferred Qualifications
- MS or PhD in computer science, machine learning or related field (degree in phd in computer science)
- Experience in low level software architecture, modeling or validation (experience)
- Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics (experience)
- Proficiency with profiling and optimizing complex software (experience)
- Experience with SoC low level software development, distributed computing or hardware acceleration (experience)
- Strong background in data science and statistical methods, with demonstrated ability to analyze large datasets and present complex insights clearly (experience)
- Experience with MLIR (experience)
- Experience with Swift (experience)
- Strong written and verbal communication skills (experience)
Responsibilities
- As a system software engineer in the Apple Neural Engine Software team primarily focused on compiler, you will be expected to - Analyze and implement software interfacing with the hardware for artificial intelligence applications across a wide range of Apple product platforms - Develop compiler optimizations to improve latency/bandwidth of our ML models - Develop software across our compiler, framework, driver and firmware - Collaborate closely with model teams to support new machine learning models on our hardware - Conduct performance profiling and diagnostics using and developing specialized tools - Engage with QA teams
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