Top QA Engineer Jobs

The Senior Software Engineer will work on full-stack aviation robotics, addressing challenges in planning, mapping, object detection, and simulation for autonomous aircraft. Responsibilities include defining and implementing new features, conducting tests, collaborating with teams, and providing mentorship to junior members.

As a Solutions Engineer at Darktrace, you will serve as the technical lead, engaging in both pre-sales and post-sales processes. Your role involves collaborating with sales teams, conducting client demonstrations, and developing customized deployment strategies while becoming a trusted advisor to clients.

The ShotGrid/Flow Pipeline Technical Director will design, develop, and deploy custom software tools for production tracking systems while collaborating with artists and engineers to improve workflows, enhance usability, and provide technical support. Responsibilities include extending existing tools, developing features, and maintaining software standards in an animation or VFX studio environment.

Neurable is seeking an Android Developer to work on the mobile app for Neuro smart headphones, focusing on real-time focus monitoring and productivity improvement. Responsibilities include developing new app features, designing UI, managing codebase, and collaborating with cross-functional teams.

The Staff Software Engineer, AI will lead the development of AI and LLM initiatives for a new consumer product aimed at enhancing healthcare navigation. Responsibilities include overseeing AI feature integration, maintaining software quality, mentoring engineering teams, and collaborating on technical strategies with senior leadership. The role requires extensive experience in software development, particularly with AI/ML models and Python frameworks.

The Lead Engineer will mentor the engineering team and improve code quality and system performance. Responsibilities include collaborating with customers for scalable architecture, establishing software development best practices, leading the development of internal AI tools like SchonGPT, and contributing to technical strategy aligned with business goals.

As an AI Performance Engineer, you will optimize the training and inference performance of machine learning models for autonomous driving, working closely with software engineers and researchers to enhance the capabilities of deep learning on NVIDIA GPU systems and AV onboard systems.