Signal Processing Engineer II

Embedded

Posted on 8/9/2023

INACTIVE

501-1,000 employees

Wearable performance & optimization technology

Company Overview

Whoop’s mission is to unlock human performance though tapping into every individual owner's potential which can be enhanced through continuous monitoring. The company has built a system across hardware, software, and analytics designed to collect and analyze the most important data on the human data.

Consumer Goods

Hardware

Company Stage

Series F

Total Funding

$406.1M

Founded

2012

Headquarters

Boston, Massachusetts

Growth & Insights

Headcount

6 month growth

↑ 16%

1 year growth

↑ 18%

2 year growth

↑ 1%

Locations

Cambridge, MA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Structures & Algorithms

Python

MATLAB

CategoriesNew

AI & Machine Learning

Electrical Engineering

Software Engineering

Requirements

Bachelor's or Master's degree in an engineering-related field with at least 2-years of industry experience working with signal processing and/or embedded systems
Strong understanding of signal processing fundamentals and applications
Proficiency in C/C++
Experience developing signal processing algorithms in MATLAB or Python
Creative problem-solver with a passion for innovating, improving processes, and developing new tools from scratch

Responsibilities

Designing and implementing cutting-edge signal processing algorithms on low-power MCUs and/or DSP processors, with a specific focus on ARM Cortex-M processors
Engaging in software development and proficiently debugging embedded devices to ensure optimal functionality and performance
Conduct thorough analyses of sensor signal data, including SNR, noise characterization, and performance evaluation, to identify areas for improvement
Efficiently converting algorithms from Matlab/Python into C/Assembly language, ensuring seamless integration and enhanced efficiency
Conduct performance testing and validation of signal processing algorithms in both simulation and real-world scenarios
Collaborate with hardware engineers to ensure seamless integration of signal processing algorithms into embedded platforms
Document all designs, methodologies, and results thoroughly for knowledge sharing and future reference

Desired Qualifications

Strong understanding of how to map high-level algorithms to low-level implementation in C
Experience with biosensor systems or biomedical signal processing, in particular with optics systems such as photodiodes, LEDs, and analog components such as ADCs
Familiarity with Machine Learning algorithms and development
Experience with statistical analysis and understanding of random variables and processes

At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Firmware, and Electrical engineers. You will work on the core, fundamental features at WHOOP. This role will be tasked with analyzing sensor data, validating and improving signal quality, and designing, coding, implementing, and validating signal processing algorithms.

RESPONSIBILITIES:

Designing and implementing cutting-edge signal processing algorithms on low-power MCUs and/or DSP processors, with a specific focus on ARM Cortex-M processors.
Engaging in software development and proficiently debugging embedded devices to ensure optimal functionality and performance.
Conduct thorough analyses of sensor signal data, including SNR, noise characterization, and performance evaluation, to identify areas for improvement.
Efficiently converting algorithms from Matlab/Python into C/Assembly language, ensuring seamless integration and enhanced efficiency.
Conduct performance testing and validation of signal processing algorithms in both simulation and real-world scenarios.
Collaborate with hardware engineers to ensure seamless integration of signal processing algorithms into embedded platforms.
Document all designs, methodologies, and results thoroughly for knowledge sharing and future reference.

QUALIFICATIONS:

Bachelor’s or Master’s degree in an engineering-related field with at least 2-years of industry experience working with signal processing and/or embedded systems
Strong understanding of signal processing fundamentals and applications
Proficiency in C/C++
Experience developing signal processing algorithms in MATLAB or Python
Creative problem-solver with a passion for innovating, improving processes, and developing new tools from scratch

PREFERRED QUALIFICATIONS:

Strong understanding of how to map high-level algorithms to low-level implementation in C
Experience with biosensor systems or biomedical signal processing, in particular with optics systems such as photodiodes, LEDs, and analog components such as ADCs
Familiarity with Machine Learning algorithms and development
Experience with statistical analysis and understanding of random variables and processes

Join us in pushing the boundaries of wearable technology and positively impacting people’s lives!

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility