Mixed-Signal IP Machine Learning Engineer
Apple
Mixed-Signal IP Machine Learning Engineer
Job Description
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices. We are seeking a versatile and forward-thinking engineer to join our dynamic team. As a member of our group, you will play a crucial role in the development and implementation of methodologies and solutions with a significant impact on upcoming products, delighting and inspiring millions of Apple customers daily. Your expertise in machine learning will be instrumental in optimizing Power, Performance, Area, and Robustness (PPAR) in our mixed-signal IP development. You will collaborate closely with our internal multi-functional teams to achieve these goals. As a member of the mixed-signal design team, you will be part of a dynamic team that is building the most efficient silicons on the planet, powering the next generation of Apple products. Your responsibilities will include: • Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs. • Explore and evaluate various machine learning algorithms to identify the most suitable approaches for specific problems. • Collaborate closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment. • Stay up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning expertiseintermediate
- developing machine learning modelsintermediate
- developing machine learning systemsintermediate
- optimizing Power, Performance, Area, and Robustness (PPAR)intermediate
- mixed-signal IP developmentintermediate
- exploring machine learning algorithmsintermediate
- evaluating machine learning algorithmsintermediate
- collaborating with multi-functional teamsintermediate
- collaborating with firmware teamsintermediate
- collaborating with system architecture teamsintermediate
- collaborating with validation teamsintermediate
- staying up-to-date with machine learning advancementsintermediate
Required Qualifications
- Bachelors in Machine Learning, or Computer Science/Electrical Engineering with a focus on machine learning with 3+ years of relevant experience (experience, 3 years)
Preferred Qualifications
- Proven track record of successfully delivering machine learning projects or applications. (experience)
- Strong understanding of a wide range of machine learning algorithms, including logistic regression, deep neural networks, and reinforcement learning. (experience)
- Solid math background with knowledge of algorithms and data structures. (experience)
- Understanding of VLSI fundamentals is a plus. (experience)
- Knowledge of signal processing is a plus. (experience)
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. (experience)
Responsibilities
- As a member of the mixed-signal design team, you will be part of a dynamic team that is building the most efficient silicons on the planet, powering the next generation of Apple products.
- Your responsibilities will include:
- • Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs.
- • Explore and evaluate various machine learning algorithms to identify the most suitable approaches for specific problems.
- • Collaborate closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment.
- • Stay up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies.
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Answer 10 quick questions to check your fit for Mixed-Signal IP Machine Learning Engineer @ Apple.
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Mixed-Signal IP Machine Learning Engineer
Apple
Mixed-Signal IP Machine Learning Engineer
Job Description
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices. We are seeking a versatile and forward-thinking engineer to join our dynamic team. As a member of our group, you will play a crucial role in the development and implementation of methodologies and solutions with a significant impact on upcoming products, delighting and inspiring millions of Apple customers daily. Your expertise in machine learning will be instrumental in optimizing Power, Performance, Area, and Robustness (PPAR) in our mixed-signal IP development. You will collaborate closely with our internal multi-functional teams to achieve these goals. As a member of the mixed-signal design team, you will be part of a dynamic team that is building the most efficient silicons on the planet, powering the next generation of Apple products. Your responsibilities will include: • Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs. • Explore and evaluate various machine learning algorithms to identify the most suitable approaches for specific problems. • Collaborate closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment. • Stay up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning expertiseintermediate
- developing machine learning modelsintermediate
- developing machine learning systemsintermediate
- optimizing Power, Performance, Area, and Robustness (PPAR)intermediate
- mixed-signal IP developmentintermediate
- exploring machine learning algorithmsintermediate
- evaluating machine learning algorithmsintermediate
- collaborating with multi-functional teamsintermediate
- collaborating with firmware teamsintermediate
- collaborating with system architecture teamsintermediate
- collaborating with validation teamsintermediate
- staying up-to-date with machine learning advancementsintermediate
Required Qualifications
- Bachelors in Machine Learning, or Computer Science/Electrical Engineering with a focus on machine learning with 3+ years of relevant experience (experience, 3 years)
Preferred Qualifications
- Proven track record of successfully delivering machine learning projects or applications. (experience)
- Strong understanding of a wide range of machine learning algorithms, including logistic regression, deep neural networks, and reinforcement learning. (experience)
- Solid math background with knowledge of algorithms and data structures. (experience)
- Understanding of VLSI fundamentals is a plus. (experience)
- Knowledge of signal processing is a plus. (experience)
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. (experience)
Responsibilities
- As a member of the mixed-signal design team, you will be part of a dynamic team that is building the most efficient silicons on the planet, powering the next generation of Apple products.
- Your responsibilities will include:
- • Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs.
- • Explore and evaluate various machine learning algorithms to identify the most suitable approaches for specific problems.
- • Collaborate closely with firmware, system architecture, and validation teams in a highly engaging and rewarding environment.
- • Stay up-to-date with the latest advancements in machine learning and related fields to continually improve our methodologies.
Tags & Categories
Answer 10 quick questions to check your fit for Mixed-Signal IP Machine Learning Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs