What are the responsibilities and job description for the Engineering Manager, Autonomous Vehicles, Computer Vision and Robotics position at Tbwa Chiat/Day Inc?
Engineering Manager, Autonomous Vehicles, Computer Vision and Robotics
Scale’s Automotive Data Engine is an industry-leading solution for improving perception systems. Leading companies like GM, Nuro, Valeo, Motional, and Mobileye work with Scale to curate data, create high-quality labeled datasets, and track perception model improvement.
About This Role :
As the Engineering Manager for the Autonomous Vehicle / Computer Vision (AVCV) team at Scale AI, you will lead teams responsible for our data products spanning 2D and 3D data annotation, foundation model robotics, and data management. This critical role encompasses leadership across Product Management, Engineering, and Customer Engineering teams to deliver solutions that align with the strategic needs of our customers. You will also represent the company to customer and industry partners and set the pace for innovation and operational excellence in our offerings.
Responsibilities :
- Lead roadmapping, product delivery, and development for our Automotive Data Engine product suite (2D, 3D, Mapping, and Robotics)
- Manage diverse teams of Product Managers, Engineering Managers, and Solutions Engineers
- Create industry-leading solutions to deliver measurable improvements to customers in data quality, cost, and speed
- Build and mentor a high-performing technical team
- Maintain strong relationships with partners, key customers, and internal stakeholders
Qualifications :
Compensation :
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to : Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Salary Range :
The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is : $212,000 - $254,400 USD.
About Us :
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and / or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
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Are you able to be in office 3 per week in San Francisco or New York?
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Salary : $212,000 - $254,400
