Manage the AI Tooling engineering team, define vision for AI technologies, ensure feature delivery, improve engineering excellence, and handle technical challenges.

The Head of Legal will oversee legal functions for Woven Capital, focusing on investment process support, compliance, risk management, and corporate governance while managing external counsel and providing strategic legal guidance to senior leadership.

The internship involves designing, building, and maintaining ML systems for perception, prediction, and planning in self-driving technologies, offering hands-on experience in ML engineering practices and tools.

As a Financial Planning and Analysis Specialist, you'll support business partners with budgeting, forecasts, financial reports, and strategic recommendations, while analyzing performance results and improving financial systems.

The role involves developing and managing spatial information for Woven City, focusing on BIM data, automation tools, and user support while ensuring data consistency for engineering applications.

Lead the design and development of machine learning models for perception in autonomous vehicles, integrating diverse sensor data and deploying scalable solutions.

As a Staff Program Manager, lead cross-functional projects in the AD/ADAS ecosystem, define milestones, ensure timely delivery, and improve engineering efficiency.

Lead a team of engineers in developing the Digital Twin Platform, ensuring delivery, enhancing team culture, and collaborating cross-functionally for business value.

The intern will improve LLM prompts for coding standard violations, fine-tune LLMs, enhance AI agent tools, build evaluation pipelines, and validate LLM behavior in development workflows.

Develop software for in-cabin monitoring systems, evaluate image recognition technologies, and collaborate on software implementation while ensuring safety in driverless vehicles.

Support the Woven City project by conducting privacy risk assessments, managing privacy policies, and ensuring compliance with relevant laws and regulations.

The role involves designing, developing, and operating predictive machine learning models for traffic behavior, collaborating with teams to improve traffic safety and efficiency, and enhancing team technical skills through mentorship.

The intern will assist in designing and maintaining tooling platforms, develop automation capabilities, and improve developer tools while collaborating with engineering teams.

As an ML Engineer intern, you will develop ML models, conduct data analysis, collaborate on experiments, and prototype scalable solutions, addressing urban mobility challenges.

The intern will work on machine learning for perception in autonomous driving, developing models, collaborating with teams, and presenting results.

The Machine Learning Intern will enhance the autolabeling pipeline by integrating ML components, preparing datasets, and collaborating with engineers on innovative projects.

Develop HMI control applications for advanced driver assistance systems, ensuring effective communication and collaboration with engineering teams and stakeholders.

The Senior Simulation Engineer will develop core simulation technologies, integrate solutions, analyze results, and advocate for innovative methodologies in AD/ADAS systems.

The Product Manager drives product management for a software development platform, focusing on customer needs, product vision, and collaboration with cross-cultural teams.

Lead technical decision-making, improve software reliability and observability, provide on-call support, and establish SRE best practices.