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Software QA Engineer I

Silicon Labs

Software QA Engineer I

Silicon Labs

Boston

·

On-site

·

Full-time

·

1w ago

Compensation

$78,750 - $146,250

Benefits & Perks

Healthcare

401(k)

Equity

Flexible PTO

Commuter Benefits

Pet Insurance

Gym

Free Meals

Learning Budget

Parental Leave

Healthcare

401k

Equity

Commuter

Pet Insurance

Gym

Meals

Learning

Parental Leave

Required Skills

Python

Linux

QA methodologies

Automated testing

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated So Cs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

Meet the Team

The **15.4 Software Quality Assurance (SQA)**team at Silicon Labs ensures the reliability and performance of our wireless software stacks and development tools. We focus on automation, scripting, and continuous integration to validate IEEE 802.15.4–based technologies such as Zigbee, Matter, and Open Thread, which form the backbone of secure, low-power IoT networks. As part of a global engineering organization, the team collaborates with firmware, DevOps, and systems engineers to maintain Silicon Labs’ reputation for delivering robust, high-quality wireless connectivity solutions.

Responsibilities

  • Develop automated test frameworks and scripts to validate wireless protocol software.

  • Execute test plans and analyze results to ensure the quality, stability, and performance of 15.4-based stacks and related tools.

  • Support CI/CD pipelines using tools such as Jenkins and Py Test for continuous validation.

  • Write Pytest scripts and utilities to automate testing, data analysis, and regression checks.

  • Collaborate with software, DevOps, and QA teams to improve automation coverage and process efficiency.

  • Troubleshoot, reproduce, and document software issues in Linux-based environments.

  • Contribute to the enhancement of internal test infrastructure and quality metrics tracking.

Skills You Need (Minimum Qualifications)

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.

  • Strong proficiency in Python programming.

  • Experience working in Linux environments for development, scripting, and debugging.

  • Basic understanding of networking and wireless technologies (e.g., Wi-Fi or similar).

  • Familiarity with QA methodologies, automated testing frameworks, and version control systems.

  • Strong analytical skills and attention to detail with a mindset for quality and efficiency.

The Following Qualifications Will Be Considered a Plus:

  • Knowledge of IEEE 802.15.4 wireless technologies, including Zigbee or Open Thread.

  • Working exposure to AI tools such as **CursorVS code, Co Pilot,**and ChatGPT

  • Hands-on experience with DevOps tools and CI/CD systems such as Jenkins or GitHub CI.

  • Experience using Py Test or other Python-based testing frameworks.

  • Understanding of network analysis, packet sniffing, or debugging tools for wireless protocols.

  • Familiarity with software test automation frameworks or infrastructure development.

  • Prior project or internship experience supporting SQA or DevOps automation in embedded or wireless systems.

Benefits & Perks

You can look forward to the following benefits:

  • Great medical (Choice of PPO or Consumer Driven Health Plan with HSA), dental and vision plans

  • Highly competitive salary

  • 401k plan with match and Roth plan option

  • Equity rewards (RSUs)

  • Employee Stock Purchase Plan (ESPP)

  • Life/AD&D and disability coverage

  • Flexible spending accounts

  • Adoption assistance

  • Back-Up childcare

  • Additional benefit options (Commuter benefits, Legal benefits, Pet insurance)

  • Flexible PTO schedule

  • 3 paid volunteer days per year

  • Charitable contribution match

  • Tuition reimbursement

  • Free downtown parking 2 weeks a month

  • Onsite Gym and locker rooms coming in April 2026

  • Monthly wellness offerings

  • Free snacks

  • Monthly company updates with our CEO

The annualized base pay range for this role is expected to be between $78,750 - $146,250 USD. Actual base pay could vary based on factors including but not limited to experience, geographic location where work will be performed and applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus, equity package and a comprehensive benefits package.

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.

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About Silicon Labs

Silicon Labs

Designs and manufactures semiconductors, other silicon devices and software, which it sells to electronics design engineers and manufacturers in In...

1,001-5,000

Employees

Austin

Headquarters

Reviews

4.2

1 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

4.0

Career

3.5

Management

4.0

75%

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Pros

Fast-moving hiring process

Supportive interview environment

Reasonable technical questions

Cons

Nerve-wracking senior engineer observation

Substantial coding problems

Long technical interview duration

Salary Ranges

0 data points

Intern

Intern · Embedded SWE Intern

0 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round Interview

6

Offer

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit