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Sr. System Software Engineer

  • Sunnyvale, CA, United States

The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

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Job details

Pay
The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Experience
5+ years of hands-on experience designing, building, and deploying robotic systems that encompass both hardware and software components.
Posting language
English
Posted

Original job description

Summary Join a team of passionate and creative engineers dedicated to building technologies that will shape the future. We are a cross-functional group that thrives on collaboration, innovation, and tackling challenging problems to create products that are both profoundly useful and delightful to use. Our work lies at the intersection of groundbreaking hardware, software, and design, and we are looking for a key contributor to help us explore what's possible.

We are seeking a versatile Sr. Software System Engineer with end-to-end expertise to accelerate the exploration of new concepts. In this role, you will be responsible for the entire lifecycle of complex concepts, from initial hardware design and sensor integration to software development and the application of machine learning. You are a builder at heart, someone who can seamlessly navigate the stack from low-level firmware to high-level applications to bring innovative ideas to life.

Description As a Sr. Software Systems Engineer, you will be a critical member of a multi-disciplinary team, responsible for rapidly prototyping and validating novel concepts. Your work will directly influence future product direction by demonstrating the viability and potential of new technologies.

Responsibilities

Designing, integrating, and testing multimodal sensor systems (e.g., cameras, LiDAR, IMUs) Developing and implementing low-latency perception and sensor fusion algorithms. Designing and building precision electromechanical systems for actuation and control. Writing low-level firmware, device drivers, and working with real-time operating systems (RTOS). Applying machine learning (ML) models to solve complex problems in perception, calibration, and control. Rapidly prototyping intuitive user interfaces for human-device interaction Collaborating closely with experts in machine learning and mechanical design to define and achieve project goals.

Minimum Qualifications Bachelor’s degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent practical experience. 5+ years of hands-on experience designing, building, and deploying robotic systems that encompass both hardware and software components. Experience programming in C++ and/or Python for robotics applications.

Preferred Qualifications Proven experience in system integration, bringing together complex hardware (sensors, actuators) and software (firmware, control, perception) into a functional whole. Experience with a variety of sensor modalities (e.g., cameras, LiDAR, IMUs, depth sensors) and developing perception algorithms for object detection, tracking, or localization. Strong understanding of electromechanical systems, motor control theory, and implementation of real-time control systems. Proficiency with embedded systems development, including firmware, real-time operating systems (RTOS), and low-level device drivers. Experience applying machine learning (ML) techniques to robotics problems such as perception, sensor fusion, or adaptive control. Experience in rapid prototyping and building user interfaces or interaction models for human-robot interaction (HCI). Master’s or PhD in Robotics, Mechatronics, Computer Science, or a related field.

Pay & Benefits 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 $184,700 and $324,800, 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.

EEO Statement Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.

More about this job

Skills

  • Design hardware
  • Software development
  • RTOS
  • Robotics
  • Mechatronics
  • Mechanical engineering
  • Electrical engineering
  • Computer science
  • C++
  • Python
  • ICT system integration
  • Firmware
  • Control systems
  • Embedded systems
  • Machine learning
  • ML

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