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Top QA Engineer Jobs in San Francisco, CA

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6 Days Ago
8 Locations
Hybrid
62 Employees
200K-250K Annually
Senior level
62 Employees
200K-250K Annually
Senior level
Artificial Intelligence • Security • Software
Design and implement backend APIs and services for Voxel's core customer experience. Collaborate with various teams to meet user needs, lead projects from implementation to maintenance, and ensure high-quality system performance using data-driven approaches. Mentor other engineers and contribute to technical documentation.
6 Days Ago
7 Locations
Remote
17 Employees
Senior level
17 Employees
Senior level
Software
The Staff Software Engineer at Moonhub will lead the design, development, and delivery of AI services and products while tackling ambiguous challenges in recruiting through software and AI solutions. This role involves close collaboration with product, design, and recruiting teams to create innovative and scalable systems.
6 Days Ago
San Mateo, CA, USA
Hybrid
40 Employees
140K-250K Annually
Senior level
40 Employees
140K-250K Annually
Senior level
Artificial Intelligence • Mobile
As a Senior Android Engineer, you will lead Android development, optimize resource-intensive features, build intuitive interfaces, and collaborate on product quality while mentoring a growing team.
19 Hours Ago
United States
Remote
52 Employees
Junior
52 Employees
Junior
eCommerce • Machine Learning • Database
The Solutions Engineer, Onboarding will support new customers in integrating Northbeam's analytics product into their e-commerce systems, troubleshoot setup issues, validate data installations, and enhance documentation for customer processes. This role requires technical expertise and effective communication skills to ensure a smooth onboarding experience and handoff to customer success teams.
6 Days Ago
San Francisco, CA, USA
Hybrid
501 Employees
152K-189K Annually
Senior level
501 Employees
152K-189K Annually
Senior level
Fintech
The Software Engineer III will design and build scalable cloud-native microservices for Prosper Marketplace. The role requires collaboration with cross-functional teams, addressing operational challenges, and fostering innovation in engineering culture. Candidates need strong expertise in backend software development, particularly in the Fintech domain.
6 Days Ago
Oakland, CA, USA
6 Employees
6 Employees
Not Specified
Automotive
Seeking a talented and experienced engineer to work on the electrification of the semi-trucking industry. Responsibilities include developing system designs, engaging with suppliers, conducting pilot testing, maintaining safety standards, and supporting technical roadmapping.
6 Days Ago
2 Locations
Mid level
Mid level
Artificial Intelligence • Edtech • Marketing Tech • Generative AI
Join HeyGen as a Research Engineer, Tech Lead to lead AI research projects, design scalable solutions, foster collaboration, and mentor team members in a high-growth startup environment.
6 Days Ago
San Francisco, CA, USA
439 Employees
85K-145K Annually
Senior level
439 Employees
85K-145K Annually
Senior level
Software • Energy
Lead Java Software Engineer at Resource Innovations, responsible for designing, developing, and deploying cloud-based enterprise software for energy organizations. The role involves full software development lifecycle, data integration, and resolving technical issues to meet client needs.
6 Days Ago
San Francisco, CA, USA
4 Employees
Mid level
4 Employees
Mid level
Cybersecurity • Data Privacy
Seeking experienced ForgeRock Engineers to work on Identity Governance and Administration, Access Management, and Cloud integrations. Responsibilities include designing, configuring, and deploying ForgeRock components, integrating with cloud platforms, troubleshooting technical issues, and providing technical support to clients.
6 Days Ago
San Francisco, CA, USA
38 Employees
133K-143K Annually
Mid level
38 Employees
133K-143K Annually
Mid level
Artificial Intelligence • Computer Vision
The Senior Computer Vision Engineer is responsible for designing software architectures, developing end-to-end machine learning pipelines, building testing environments, mentoring junior engineers, and implementing real-time algorithms on embedded devices. The role also includes debugging and optimizing hardware and software failures.
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