Sensing HW - Algorithm Systems Engineer

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$181,100–$318,400 / yr
Posted
55 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $250k
$127k most similar roles pay here $339k

This role pays more than 94% of similar roles. Most pay $165,202–$213,743 — the shaded band above. At the midpoint, this role pays about $250k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Sensing HW - Algorithm Systems Engineer

As a Senior Algorithm Systems Engineer on Apple’s Sensing Architecture team, you will play a pivotal role in developing cutting-edge sensor solutions for future products like the iPhone and MacBook. Your daily tasks will include algorithm prototyping, performance validation, and defining hardware requirements to ensure seamless device interactions. You will collaborate closely with Electrical Engineering and Firmware teams to create state-of-the-art sensor technologies using techniques such as analytical modeling, statistical signal processing, and machine learning. Essential skills for this role include a strong background in image/signal processing, estimation/inference, or machine learning, along with proficiency in Python and Matlab. Preferred qualifications include experience with ML frameworks like PyTorch and data processing packages such as SciPy and pandas, making this an ideal position for those passionate about advancing sensor technology at scale.

What you'll do

  • Develop algorithm proof-of-concepts using analytical modeling and statistical signal processing.
  • Define sensor hardware and performance requirements for successful deployment in products.
  • Characterize and validate system performance through various algorithmic techniques.
  • Negotiate cross-functional requirements to ensure subsystem performance meets standards.
  • Collaborate with Electrical Engineering and Firmware teams on state-of-the-art solutions.

What we're looking for

  • Strong background in image/signal processing, estimation/inference, or machine learning.
  • Proficient in applied linear algebra and probability for engineering math.
  • Expertise in programming with high-level languages like Python/Matlab.
  • Experience in algorithm optimization under hardware constraints (compute, memory, power).
  • Ability to establish quantitative benchmarks for algorithm performance.
  • Familiarity with ML frameworks and data processing packages such as PyTorch, SciPy, pandas, jax.
  • Multi-disciplinary understanding of EE and Physics principles.

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