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We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment. This role sits at the intersection of applied research and deployment. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions. A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.

Responsibilities:
Own the research-to-deployment cycle for driving models - from literature review and prototyping through to production integration.
Design, implement, and iterate on real-time predictive models, including vision-language-action (VLA) models.
Collaborate on reasoning systems, contributing to VLA models that handle planning across varied horizons.
Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms.
Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack.
Collaborate closely with internal R&D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar.

Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology-tackling ambitious research and turning cutting-edge deep learning into real-world solutions.

Responsibilities
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

We are looking for someone who enjoys understanding complex systems, can quickly move between software, hardware, and infrastructure, and takes ownership of quality from feature design through customer delivery. You will play a key role in ensuring our products meet the highest quality standards before they reach our customers.
Responsibilities
Own the quality effort for features and projects from design through release
Design and execute test plans, test cases, and validation strategies
Validate software functionality across backend services, mobile applications, desktop applications, and
hardware components
Perform functional, regression, integration, end-to-end, and system-level testing
Investigate, reproduce, and triage complex software and hardware issues
Analyze logs, system behavior, and test results to identify root causes and clearly communicate findings
Work with databases to validate data integrity and troubleshoot backend issues
Use command-line tools and shell environments to validate systems and investigate failures
Execute and monitor automated test suites, analyze failures, and work with developers to determine root causes
Manage multiple priorities while maintaining strong attention to detail and execution quality
Continuously improve testing methodologies, processes, and product quality
Drive high product quality while continuously improving the customer experience