Role at a glance
- Salary
- $165.8K – $292.4K/yr
- Location
- Waltham, Massachusetts, United States
- Experience
- a minimum of 10 years relevant industry experience
- Education
- BS and a minimum of 10 years relevant industry experience
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Role Summary
This Cellular RF Transmitter Systems Engineer role on Apple's RF Transmitter Systems Engineering team focuses on assessing, specifying, and driving transmitter concepts for wireless products. The role works closely with architecture, systems engineering, RF design, and SW teams to translate system-level requirements into transmitter line-up and feature requirements.
What You'll Do
- Translate system-level and performance requirements into requirements for the TX line-up and TX features, including RF algorithm...
- Understand and specify RF algorithms (e.g. power control, calibration) and define the RF control infrastructure, including compute...
- Research, design, and prototype machine learning models, including neural networks and reinforcement learning, for RF transmitter...
- Develop and maintain simulation environments in Python or MATLAB to model RF systems and test AI algorithms.
- Analyze simulation data to evaluate model performance, identify trade-offs, and propose improvements.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A BS with a minimum of 10 years of relevant industry experience, including 5+ years of cellular RF transceiver design and machine learning expertise.
Required
- BS and a minimum of 10 years relevant industry experience
- 5+ years of RF transceiver design experience for cellular systems, with a focus on transmit architectures
- Expert knowledge of communication transmitters (cellular FR1 and FR2, Wi-Fi, or Bluetooth), including TX lineup design and...
- Working knowledge of TX system-level concepts and control procedures, such as power control, digital predistortion (DPD), and envelope...
- Thorough knowledge of 3GPP cellular standards (LTE/LTE-A, 5G NR), including TX waveforms, RF requirements, and system use cases
- Strong expertise in machine learning, with deep theoretical fundamentals in classical methods (clustering, dimensionality reduction),...
- Proven record of applying machine learning to RF problems such as calibration, linearization (e.g., DPD), or modeling, with a solid...
- Strong analytical skills and the ability to collaborate in multicultural, global teams
Preferred
- Familiar with mmWave architectures, phased array systems and related control concepts
- Knowledge and experience in communication systems with a focus on the physical layer (e.g., modulation and coding, OFDM, channel...
- Background in digital signal processing
- Understanding of SoC integration constraints and multi-chip RF architectures
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
At Apple, we work every single day to craft products that enrich people’s lives. The people here at Apple don’t just create products — they create the kind of wonder that revolutionizes entire industries. We invite you to join our dynamic group, for the unique and rewarding opportunity to contribute to upcoming products that will delight and inspire millions of Apple’s customers every day.
Are you interested in doing work that challenges you, expands your thinking, provides innovative solutions for future problems while driving your growth as recognized technical leader in the cellular industry? Apple's RF Transmitter Systems Engineering team is looking for a passionate, talented individual who is eager to break technical boundaries and to change the way of doing things. Our elite team is shaping the mobile market with disruptive RF innovations while taking full responsibility for execution and commitments to schedule and quality.
Join our team of leading experts in cellular RF industry and deliver differentiating transmit architectures and solutions for Apple’s wireless products that create amazing value for our customers!
Description
In this role, you will be part of an industrial-leading RF Transmitter Systems Engineering team. You will work closely with other architecture- and systems engineering teams, RF design teams and SW teams to assess, specify and drive transmitter concepts with focus on leading-edge performance and uncompromised quality as baseline for differentiating products.
Responsibilities
Translate system-level and performance requirements into requirements for the TX line-up and TX features, including RF algorithm specifications for RFICs and system firmware.
Understand and specify RF algorithms (e.g. power control, calibration) and define the RF control infrastructure, including compute resources, interfaces, memory and timing constraints.
Research, design, and prototype machine learning models—including neural networks and reinforcement learning—for RF transmitter applications such as power control, calibration, and digital pre-distortion.
Develop and maintain simulation environments in Python or MATLAB to model RF systems and test AI algorithms.
Analyze simulation data to evaluate model performance, identify trade-offs, and propose improvements.
Minimum Qualifications
BS and a minimum of 10 years relevant industry experience
5+ years of RF transceiver design experience for cellular systems, with a focus on transmit architectures
Expert knowledge of communication transmitters (cellular FR1 and FR2, Wi-Fi, or Bluetooth), including TX lineup design and component-level trade-offs (gain, linearity, noise, power, thermal), with proven ownership of TX performance metrics (ACLR, EVM, spurious emissions, spectrum masks).
Working knowledge of TX system-level concepts and control procedures, such as power control, digital predistortion (DPD), and envelope tracking (ET).
Thorough knowledge of 3GPP cellular standards (LTE/LTE-A, 5G NR), including TX waveforms, RF requirements, and system use cases.
Strong expertise in machine learning, with deep theoretical fundamentals in classical methods (clustering, dimensionality reduction), neural networks, and supervised, unsupervised, and reinforcement learning.
Proven record of applying machine learning to RF problems such as calibration, linearization (e.g., DPD), or modeling, with a solid understanding of trade-offs (model complexity, data requirements, generalization, interpretability, computational cost on embedded hardware).
Strong analytical skills and the ability to collaborate in multicultural, global teams.
Preferred Qualifications
Familiar with mmWave architectures, phased array systems and related control concepts.
Knowledge and experience in communication systems with a focus on the physical layer (e.g., modulation and coding, OFDM, channel estimation, link-level performance).
Background in digital signal processing.
Understanding of SoC integration constraints and multi-chip RF architectures.
Pay & Benefits — Waltham, Massachusetts, United States
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,800 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.