1

Wearable Algorithm Engineer Jobs (NOW HIRING)

Lead the design and development of battery algorithms across the wearables portfolio -- SOC/SOH ... Mentor and grow engineers, raise the technical bar, and help influence engineering direction across ...

Lead the design and development of battery algorithms across the wearables portfolio -- SOC/SOH ... Mentor and grow engineers, raise the technical bar, and help influence engineering direction across ...

Algorithm Engineer

Ann Arbor, MI · Hybrid

$105K - $180K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... algo engineer position in an extraordinary algorithm group within the reticle product division ...

Algorithm engineer

Milpitas, CA · On-site

$127K - $149K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... algo engineer position in an extraordinary algorithm group within the reticle product division ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... algo engineer position in an extraordinary algorithm group within the reticle product division ...

Algorithm Engineer

Milpitas, CA · On-site

$114K - $195K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Come join our high performing team consisting of PhDs, machine vision and algorithm engineers ...

Algorithm Engineer

Milpitas, CA · On-site

$114K - $195K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Come join our high performing team consisting of PhDs, machine vision and algorithm engineers ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... algo engineer position in an extraordinary algorithm group within the reticle product division ...

Algorithm Engineer

Milpitas, CA · On-site

$114K - $195K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Come join our high performing team consisting of PhDs, machine vision and algorithm engineers ...

Algorithm Engineer

Milpitas, CA · On-site

$114K - $195K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Come join our high performing team consisting of PhDs, machine vision and algorithm engineers ...

Senior Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or ... Algorithm Engineer to join the Surfscan division, where you will be part of a collaborative team ...

next page

Showing results 1-20

Wearable Algorithm Engineer information

What is a wearable algorithm engineer?

A Wearable Algorithm Engineer is a professional who designs, develops, and optimizes algorithms for wearable devices such as smartwatches, fitness trackers, and medical monitors. Their work often involves processing sensor data, building models for activity recognition, health monitoring, and improving device performance. These engineers collaborate closely with hardware and software teams to ensure that algorithms run efficiently on limited-resource devices. Their expertise is crucial for translating raw data from sensors into meaningful insights for users.

What are the key skills and qualifications needed to thrive as a wearable algorithm engineer?

To thrive as a Wearable Algorithm Engineer, you need a solid background in signal processing, machine learning, and biomedical engineering, often supported by a relevant degree such as electrical engineering or computer science. Familiarity with tools like MATLAB, Python, TensorFlow, and embedded systems, as well as experience with sensor data analysis, is typically required. Strong problem-solving skills, creativity, and the ability to communicate complex technical concepts clearly are important soft skills for this role. These competencies are crucial for developing accurate, efficient algorithms that enhance the functionality and user experience of wearable devices.

What are some typical challenges faced by wearable algorithm engineers when developing health monitoring features?

Wearable Algorithm Engineers often encounter challenges related to ensuring accuracy and reliability in real-world conditions, as sensor data can be noisy or affected by user movement. Balancing power consumption and computational efficiency is also critical, since wearables have limited battery life and processing capabilities. Collaborating closely with hardware teams, clinical experts, and software developers is essential to validate algorithms and integrate them seamlessly into consumer-ready products. Staying updated with the latest advancements in sensor technology and health metrics helps engineers continuously improve product performance.

What are popular job titles related to Wearable Algorithm Engineer jobs?

For Wearable Algorithm Engineer jobs, the most frequently searched job titles are:

Infographic showing various Wearable Algorithm Engineer job openings in the United States as of September 2026, with employment types broken down into 9% Internship, 73% Full Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Battery Algorithm Engineer

Redmond, WA

Meta
Internet and IT • 10K+ employees

$173K/yr

Full-time

Posted 12 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

Meta Reality Labs is seeking a Battery Algorithm Engineer to define and lead the development of advanced battery management algorithms and state estimation systems for next-generation virtual and augmented reality devices, including headsets, wearables, and smart glasses. In this role, you will own the long-term technical strategy for battery algorithms across Meta's Reality Labs hardware portfolio, driving innovations in state-of-charge estimation, state-of-health prediction, cell balancing, and adaptive charging to maximize energy density, safety, and longevity in highly constrained wearable form factors.
Battery Algorithm Engineer Responsibilities:
  • Responsibilities
  • Lead the design and development of battery algorithms across the wearables portfolio — SOC/SOH estimation, fuel gauging, charge-time and peak-power optimization, and battery-life extension
  • Shape the technical strategy and roadmap for battery algorithms, contributing to key architectural decisions and the standards and best practices that the team builds on
  • Drive cross-functional execution across cell, hardware, firmware, and validation teams, data science, data engineering, resolving challenging algorithm problems and unblocking programs to deliver on schedule
  • Own algorithm requirements and configurations for fuel gauge ICs and drive their integration to silicon across NPI programs
  • Advance control theory and data-driven AI-ML methods to improve estimation accuracy and robustness across temperature, aging, and load
  • Ground algorithm design in the underlying battery electrochemistry — leverage physics-based and reduced-order battery models to inform SOC/SOH estimation, charge optimization, and degradation-aware control
  • Turn field telemetry and degradation behavior into algorithm improvements — attribute real-world fade to its drivers and feed it back into the next generation of estimation and charge-control algorithms
  • Mentor and grow engineers, raise the technical bar, and help influence engineering direction across the team

Minimum Qualifications:
  • 8+ years of experience developing battery management system algorithms, including state estimation, adaptive charging, or cell balancing for consumer electronics or wearable devices
  • Experience with electrochemical modeling techniques such as equivalent circuit models, physics-based models, or data-driven approaches applied to lithium-ion or emerging cell chemistries
  • Experience implementing and validating battery algorithms in embedded firmware environments, including integration with battery management system ICs and real-time operating system constraints
  • Experience leading cross-functional technical programs involving hardware, firmware, and electrochemistry teams from algorithm definition through product validation
  • Experience communicating complex algorithm design decisions and technical trade-offs in writing to both engineering and non-engineering stakeholders

Preferred Qualifications:
  • Experience with data-driven AI/ML algorithms for battery control and health diagnostics
  • Working knowledge of communication protocols such as SPI and I2C, and interfacing with microcontroller peripherals
  • Background in high-volume consumer electronics or electric vehicle battery applications
  • Experience developing embedded applications for microprocessors, including familiarity with real-time operating systems
  • Understanding of hardware and clock-level considerations (interrupts, delays, clock gating, polling)
  • PhD in electrical engineering, electrochemistry, or a relevant field, with 8+ years of experience in developing battery algorithms
  • Working-level experience with Li-ion degradation mechanisms (capacity/power fade, swell) and how they inform SOH and charge-optimization algorithms

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$173,000/year to $245,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom