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Top QA Engineer Jobs in Austin, TX

4,555+ Job Results
2 Days Ago
2 Locations
2,914 Employees
Senior level
2,914 Employees
Senior level
Semiconductor • Manufacturing
The Senior Software Development Engineer will be responsible for gathering requirements, collaborating with IT specialists, analyzing systems, writing software, conducting performance tests, debugging, and performing data analysis. This role requires strong programming skills and the ability to communicate findings effectively.
2 Days Ago
Austin, TX, USA
Hybrid
79 Employees
Entry level
79 Employees
Entry level
Artificial Intelligence
As an Associate Engineer at ConverseNow, you'll handle quality assurance and testing, support Drive-Thru customers, manage inventory, and work closely with developers on system configurations. Travel to Drive-Thru locations may be required, and basic Linux and networking knowledge is necessary.
3 Days Ago
Austin, TX, USA
208 Employees
Entry level
208 Employees
Entry level
Software • Conversational AI
The Solution Engineer will gather customer requirements, design and implement customized solutions using the Conversive platform, and oversee customer project execution to ensure satisfaction. Responsibilities include onboarding, training, quality assurance, and ongoing client support.

Featured Jobs

3 Days Ago
Austin, TX, USA
24 Employees
Senior level
24 Employees
Senior level
Consumer Web • Internet of Things • Software
As a Senior Software Engineer at Noonlight, you will develop and maintain REST APIs and web applications, enhance product experiences, and collaborate with cross-functional teams. Your role involves leading projects, mentoring engineers, and researching new technologies to improve emergency response systems.
3 Days Ago
Austin, TX, USA
736 Employees
Mid level
736 Employees
Mid level
AdTech • Artificial Intelligence • Marketing Tech • Automation
As a Technical Architect, you will design technical solutions for client projects, gather and analyze client requirements, create user scenarios and data models, prepare technical specifications, and manage project implementations using agile methodologies, particularly with Salesforce Marketing Cloud.
3 Days Ago
Austin, TX, USA
924 Employees
Mid level
924 Employees
Mid level
Information Technology
As a Systems Engineer, you will analyze business requirements to define system architecture, prepare detailed design documents, collaborate on technical installations, and develop relationships with clients. You will ensure the technical fit of products within client environments, manage multiple projects, and maintain awareness of productivity and profitability.
3 Days Ago
Austin, TX, USA
389 Employees
Senior level
389 Employees
Senior level
Hardware • Manufacturing
The Staff Testbench Methodology Engineer will lead the development and optimization of UVM-based testbench methodologies for CPU architectures. Responsibilities include mentoring junior engineers, defining verification strategies, developing complex test benches, refining methodologies for efficiency, and overseeing CPU-specific testing and automation.
3 Days Ago
Austin, TX, USA
1,526 Employees
Senior level
1,526 Employees
Senior level
Marketing Tech • Sales
As a Senior Development Architect at 2020 Companies, you will lead a development team, oversee custom Salesforce application development, manage RPA initiatives, handle integrations with various systems, and drive AI project execution.
10 Hours Ago
3 Locations
Remote
2,530 Employees
Senior level
2,530 Employees
Senior level
Gaming
As a Contract Senior Console Engineer, you will develop and implement gameplay features in Unreal Engine for console platforms, optimize game performance, collaborate with cross-disciplinary teams, troubleshoot issues, and participate in code reviews. Your strong expertise in Unreal Engine will be crucial for delivering high-quality gaming experiences.
2 Days Ago
3 Locations
Hybrid
287 Employees
Senior level
287 Employees
Senior level
Software
The role involves analyzing workload performance, developing performance models, and validating performance in both pre-silicon and post-silicon stages. Collaboration with software engineers and hardware architects is essential to innovate and improve system performance in the rapidly evolving AI field.
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