Quality Assurance Engineer, Focal
$85-105k
+ Stock options
More information about location
Retail automation & optimization
Open for applications
Retail automation & optimization
21-100 employees
Open for applications
$85-105k
+ Stock options
More information about location
21-100 employees
Company mission
To lower the cost of living for all mankind by automating and optimizing brick and mortar retail with the latest advancements in AI.
Role
Who you are
- 3+ years professional experience including 3+ years in a QA Engineer role
- 3+ years of experience with Python, JavaScript & Cypress
- BS/MS degree in Computer Science, Engineering or a related subject
- Experience in writing and executing data consistency/accuracy tests a plus
- Strong knowledge of software QA methodologies, tools and processes
- Experience with automated testing tools
- Comfortable presenting to the management team
- Fluent in Polish; advanced in English (written & spoken)
- Startup mentality, team player and willing to work 40+ hours a week
What the job involves
- We are looking for an experienced QA Engineer to oversee our software QA operations and to ensure that we deliver a polished enterprise-grade product to our customers
- The QA Engineer will work closely with our frontend and backend engineers as well as our QA analysts to produce well tested and documented code on all levels of the software organization at Focal
- This role will be ~70% automated testing and ~30% manual
- Work closely with the engineering and product team to identify system/feature requirements
- Create comprehensive and well-structured test plans and test cases for frontend and backend code alike
- Perform thorough regression testing, execute manual and automated testing of existing and new code
- Design, develop, deploy and execute automated test scripts and report on the output of these tests
- Identify and document bugs thoroughly, create tasks for the engineering team and help drive issues to a resolution
- Build tools to track key QA metrics and monitor & report on key metrics
- Assist in planning and coordinating all QA activities, help oversee our team of QA analysts
Our take
Even in the largest retailers, inventory systems are usually manual, with staff checking inventory to get an idea of stock numbers, spoilage and other metrics. These are slow and introduce a high degree of human error, as well as being difficult to carry out around shoppers.
Focal Systems leverages a network low cost, ruggedized cameras and computer vision to scan a store's shelves automatically, alerting the backroom of the need to restock an area of the store in real time. In a time when retailers are facing staff shortages and supply chain issues, this kind of automation is in high demand, as is evidenced by Focal System's customer base which includes the likes of Walmart, ShopRite and Piggly Wiggly.
Having raised an impressive amount of funding, Focal Systems is doubling down on R&D and expanding its global sales and engineering teams. As more brick and mortar retailers begin to adopt automated solutions, Focal Systems is a strong position to continue its growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 6 rounds)
Dec 2021
$25.8m
SERIES B
Dec 2019
$4.8m
EARLY VC
Total funding: $41.9m
Company benefits
- Health Insurance
- Catered lunches
- Paid Time Off
- Quarterly Team Retreats
- Education grants
- Meaningful equity-grants in a very fast growing startup that is aiming for an IPO
Company values
- Be the best technology partner you work with
- We are a deep learning first company
- Only when you test your limits do you realize you have none
- The hardest working, most dedicated team will win
- Own your work
- Row as one
- Focus and solve one problem at a time
- Hypothesize, experiment, measure, repeat
- Crave change, embrace discomfort
- Burn the boats
- Love life, love the world
Company HQ
Ingold - Milldale, Burlingame, CA
Articles
Leadership
Francois Chaubard
(CEO)Was a part of Lockheed Martin's Engineering Leadership Development Program. Then worked as a Deep Learning Researcher at Bay Sensors and Apple.
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