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Director Autonomous Driving Engineer Jobs in Texas

ISEE

Autonomous Vehicle Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

Role responsibilities include: - Integrate ISEE's self-driving kit (consisting of sensors ... Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience ...

ISEE

Autonomous Vehicle Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

Role responsibilities include: - Integrate ISEE's self-driving kit (consisting of sensors ... Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience ...

ISEE

Autonomous Vehicle Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

Role responsibilities include: - Integrate ISEE's self-driving kit (consisting of sensors ... Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience ...

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Director Autonomous Driving Engineer information

What does a director autonomous driving engineer do?

A Director Autonomous Driving Engineer leads and manages teams responsible for developing self-driving vehicle technologies. This role oversees the technical strategy, project execution, and integration of hardware and software for autonomous systems. Directors in this position collaborate closely with cross-functional teams, ensure safety and regulatory compliance, and drive innovation to advance autonomous vehicle capabilities. They also mentor engineers, set technical standards, and work with stakeholders to align product goals with business objectives.

What are the key skills and qualifications needed to thrive as a director autonomous driving engineer?

To thrive as a Director Autonomous Driving Engineer, you need deep expertise in robotics, computer vision, sensor fusion, and machine learning, typically supported by an advanced degree in engineering or computer science and significant industry experience. Familiarity with tools such as ROS, simulation platforms, automotive-grade software systems, and relevant safety certifications (like ISO 26262) is crucial. Strong leadership, strategic thinking, and effective communication are essential soft skills for guiding multidisciplinary teams and collaborating with stakeholders. These abilities are vital for driving innovation, ensuring technical excellence, and delivering safe, reliable autonomous driving solutions.

How does a director autonomous driving engineer typically collaborate with cross-functional teams within an organization?

As a Director of Autonomous Driving Engineering, you'll regularly collaborate with cross-functional teams such as hardware engineers, data scientists, product managers, safety and compliance experts, and user experience designers. Your role involves aligning the technical roadmap with business goals, ensuring seamless integration of software and hardware, and facilitating effective communication between departments. This collaborative approach is crucial for addressing complex challenges, maintaining project momentum, and ensuring the autonomous driving system meets safety, regulatory, and performance standards.

What is the difference between Director Autonomous Driving Engineer vs Senior Autonomous Driving Engineer?

AspectDirector Autonomous Driving EngineerSenior Autonomous Driving Engineer
ResponsibilitiesOversees autonomous driving projects, manages teams, sets strategic goalsDesigns and develops autonomous driving systems, implements algorithms
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant engineering degree, several years of experience in autonomous systems
Work EnvironmentLeadership roles in R&D teams, cross-department collaborationHands-on engineering in labs or development teams
Industry UsageCommon in tech and automotive companies for strategic rolesCommon in engineering teams focused on system development

The main difference is that the Director Autonomous Driving Engineer focuses on leadership, strategy, and project oversight, while the Senior Autonomous Driving Engineer is primarily involved in technical development and implementation. Both roles require relevant technical credentials, but the director position emphasizes management and strategic planning within autonomous driving projects.

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Director Autonomous Driving Engineer jobs near you

Lead Data Scientist, Autonomous Driving

Avride

Austin, TX • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Avride is focused on advancing autonomous driving technology and is seeking a Lead Data Scientist to build and lead their analytics function. The role involves evaluating technology performance, leading a team of analysts, and producing actionable insights through experimentation and data analysis.
Responsibilities:
• Understand the technology deeply. Go deep into autonomous driving technology across behavior and hardware. Evaluate platform health and system behavior, and define the right metrics and metric hierarchy to quantify technology quality.
• Help build and lead the team. Contribute to team formation, take part in hiring and leveling up analysts, and set direction for an evaluation focus area while collaborating with technology leaders and with teams that build data infrastructure and analytics tools.
• Be hands-on with experiments. Design, run, and interpret experiments using solid statistical methods. Be ready to analyze results yourself and translate them into well-supported decisions.
• Build and automate analysis. Collaborate with data engineers and backend developers to assemble datasets and productionize analysis pipelines that automate recurring computations with attention to performance and reliability.
Qualifications:
Required:
• 4+ years in analytics for a large-scale or complex technology product.
• Strong background in statistical reasoning and methods for evaluating change and uncertainty.
• Strong Python and SQL; you can independently run experiments and ship analyses and pipelines end to end.
• Proven technical leadership, mentoring, and hiring experience in analytics.
Preferred:
• Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework).
• Familiarity with the modern data stack and experience in data engineering.
• Background in autonomy or other technologically intensive domains.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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