The Robotics Software QA/Test Engineer will ensure software quality through testing practices, monitor test robots, triage issues, and improve testing tools.
Simbe Robotics is a leading retail robotics company providing in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and deliver valuable data insights. Our autonomous robots and multi-modal data collection systems are transforming how retailers manage inventory and make data-driven decisions.
Position Overview
We are seeking a Robotics Software Test & QA Engineer to help ensure the performance, reliability, and quality of Simbe’s robotics software through strong testing practices, automated test coverage, and continuous regression testing. In this role, you’ll work closely with software engineers to design and maintain testing strategies, monitor and operate a local fleet of test robots, and rapidly triage issues uncovered through continuous testing. The ideal candidate is technically hands-on, methodical, and comfortable debugging complex software behavior across robot and cloud components.
Responsibilities
- Work closely with software engineers to develop testing practices, improve testability, and build automated tests.
- Constantly monitor (manually and automatically) our fleet of local test robots and run continuous regression tests.
- Support triage, debugging, and root cause analysis of issues discovered through automated and manual testing.
- Assist with robot setup, configuration, and validation in support of internal testing and release readiness.
- Document issues methodically, providing clear visibility into reproduction steps, impact, and resolution status.
- Continuously improve test tooling, pipelines, and quality signals to increase the speed and quality of defect detection.
Required Qualifications
- Deep working knowledge of Linux systems and command-line tools.
- Working competence scripting in languages like Python (or similar).
- Understanding of C++ and Python code (reading/debugging across both).
- Experience with testing frameworks like gtest (or similar test frameworks).
- Exposure to cloud infrastructure and modern CI/CD practices.
- Familiarity with statistics or data-science tools & methods
- Strong understanding of wired and wireless networking concepts (IPv4, NetworkManager, WPA2 security, etc.).
- Methodical and detail-oriented in debugging, triaging, and documenting issues.
- Calm, patient, and communicative, especially when collaborating across teams.
- Comfortable resolving unknown problems using research, experimentation, and AI tools.
Preferred Qualifications
- Bachelor’s degree in a related discipline
- Familiarity with robot operating systems (ROS/ROS2) and related tools.
- Prior experience testing or supporting autonomous robots, embedded systems, or distributed systems.
- Familiarity with remote monitoring and diagnostic tools for distributed systems.
At Simbe, you will be at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide.
Simbe Values: R. E. T. A. I. L.
Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback.
Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs.
Innovative - We are bold and innovative, with an intense focus on product design and user experience.
Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.
Top Skills
Ai Tools
C++
Ci/Cd
Gtest
Linux
Python
Ros
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Responsible for generating new business sales revenue through SaaS, managing relationships with C-suite leaders, and advising clients on IT roadmaps.
Top Skills:
AICloud-Based TechnologySaaS
Big Data • Information Technology • Software • Analytics • Energy
Responsible for driving business automation solutions in the energy sector, conducting technical discussions, and presenting technologies to clients while collaborating with sales teams.
Top Skills:
Enverus ToolsGisMicrosoft Product SuiteSource-To-Pay SolutionsSpotfire
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Manage a team of Developer Advocates, guide their work, define team strategy, ensure high-quality output, and foster collaboration across departments.
Top Skills:
BashContainersGoIaas Cloud ServicesNode.jsPython
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
