Head of Autonomy

Key Skills

AI Robotic systems, Autonomous vehicles, AWS, Azure, C++, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), LiDAR, Machine learning techniques, Python Programming, ROS1

Job Description

We're looking for high-energy, creative and collaborative candidates to lead our autonomy team and play an essential role in helping accelerate the development of our AV software stack. The ideal candidate has a strong technical background, hands-on software engineering experience, and leadership skills. You will develop and maintain a technology roadmap and make key architectural decisions, while guiding the team with well-defined technical directions and driving complex initiatives needed to deliver on critical company level goals.

This role is onsite 4 days a week at our Mountain View, CA office!

What you'll do:

• Lead the development of autonomous systems for light/medium duty trucks, including perception, planning, control, and safety
• Develop and implement a roadmap for autonomous technology, including short-term and long-term goals
• Have a thorough understanding of the key architectural decisions and drive the technical initiatives needed to deliver on critical company level goals
• Manage a team of autonomy engineers and researchers, providing guidance, mentorship, and technical oversight to ensure that team members are meeting performance expectations and delivering high-quality work
• Develop, document, and direct software system testing, troubleshooting, and verification procedures
• Drive continuous improvement in development processes, tools, and organization
• Develop test methods/test preparation, and design text fixtures to verify & validate performance and reliability requirements of our AVs in both development and production environments

What we're looking for:

• Masters or PhD degree in CS, Robotics or related field
• 7+ years of experience in autonomous systems, including algorithm development, software engineering, and safety-critical systems
• Strong technical knowledge of state-of-the-art models and approaches or perception, prediction, or planning in the self-driving space
• Experience in developing software for robotics platforms, including ROS and/or other middleware
• Solid fundamentals in 3D geometry, mathematics, and linear algebra
• Solid fundamentals with knowledge of machine learning/deep learning algorithms, ML development workflow and algorithm design
• Experience working within cloud architectures such as GCP, AWS, Azure
• Proven leadership, management, recruiting, team building, and communication skills

More about Gatik:

With headquarters in Mountain View, CA and offices in Canada, Texas, Louisiana and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.

Gatik News:

• The 10 most innovative companies in transportation of 2023
• America’s Best Startup Employers of 2023 by Forbes
• America’s Best Startup Employers of 2022 by Forbes
• Gatik been named as a 2023 FreightTech 25 winner!
• Gatik named a TIME Best Invention of 2022
• Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 List
• Gatik’s Gautam Narang on the importance of knowing your customer
• Gatik CEO Gautam Narang was Named Among the Most Exceptional Entrepreneurs of 2022 by Goldman Sachs

Taking care of our team:

At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.

We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.