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求人BMW North America

Senior Tech Lead ADAS/AD

BMW North America

Senior Tech Lead ADAS/AD

BMW North America

·

On-site

·

Full-time

·

3d ago

SPREAD ENTHUSIASM. SHAPE THE FUTURE.SHARE YOUR PASSION.

Knowing the destination isn't enough: you need to know how to get there. Build up your own networks, exploit new ideas, consistently take the initiative. Inspire other people with your enthusiasm. That's the only way to give ideas the power that allows them to become true innovations.

As an independent group of companies, the BMW Group has a commitment to creativity and breakthrough ideas that goes well beyond the racetrack. In order to continuously create ultimate driving machines, we drive our growth and design excellence by staffing our teams with individuals who are innovative and always looking for the next great idea. If you share our vision and view yourself as an independent, creative thinker, we invite you to join our team in this exceptional role located in Mountain View, CA.

WHAT AWAITS YOU.

  • Leading strategic initiatives and vision development at the intersection of automotive technology, AI, and autonomous systems, aligning with BMW Group’s overall strategy.
  • Driving technical implementation and execution of multiple projects, ensuring high-quality, sustainable software solutions and architectures.
  • Building, inspiring, and developing software teams, providing technical leadership, supporting professional growth, and ensuring effective onboarding.
  • Ensuring adherence to technical state-of-the-art development standards, promoting knowledge transfer, and continuously reviewing and improving technical solutions.
  • Participating in leadership forums and BMW-wide initiatives, representing the business unit and contributing to its ongoing development and innovation.
  • Acting as a key liaison with BMW executives and senior management, fostering cross-collaboration and partnership development internally and externally.

WHAT YOU SHOULD BRING.

  • Master’s degree in computer science, engineering, robotics, machine learning, or similar.
  • 7+ years of professional experience in AI, machine learning, or autonomous systems, with a proven track record of leadership in a technology-driven environment.
  • Proficiency in onboard and offboard system architectures, technologies, tool chains, processes (requirement engineering, conception, development, validation, deployment, maintenance), programming languages relevant to AI, Machine Learning, Data Science, Autonomous Systems, and automotive development.
  • Proven track record of innovative, impactful, and indicatory international projects.
  • Proven track record of leading and shaping inter- and multidisciplinary teams.
  • Proven track record of interdisciplinary collaborations.
  • Strong understanding of AI algorithms, machine learning frameworks, and autonomous systems technologies.
  • Advanced ability to see the big picture, having foresight and visions.
  • Comfortable with ambiguity and ‘white space’ concepts.
  • Excellent analytical, problem-solving, and decision-making skills.

WHAT YOU CAN LOOK FORWARD TO.

  • Medical, Dental, and Vision insurance
  • 401(k) with Company match and Retirement Income Account
  • Employee vehicle program
  • Bonus eligibility
  • Paid Parental Leave
  • Generous PTO and Company paid holiday
  • Voluntary Benefits to fit your needs

Relocation assistance is available for this position.

This is a hybrid role that requires regular attendance in the office.

The expected salary range for this position is $200,813.00 - $278,775.00.

The selected candidate’s education, skills, experience, and location will be used to determine the final salary offer. All pay ranges are based on a full-time work schedule. This statement is in accordance with state and local pay disclosure requirements.

As part of the hiring process, you may be required to successfully pass a background check. A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-employment drug screen to the extent permissible under applicable state law, is a condition of your offer of employment and your continued employment. The results of your background investigation are satisfactory and acceptable in the sole judgement and discretion of BMW Shared Services, LLC.

Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

BMW complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration-related employment benefit for this role.

BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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0

応募クリック数

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模擬応募者数

0

スクラップ

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BMW North Americaについて

BMW North America

BMW North America is the U.S. subsidiary of BMW Group, responsible for sales, marketing, and distribution of BMW, MINI, and BMW Motorrad vehicles and services in the United States. The company operates manufacturing facilities, dealership networks, and provides financial services for BMW products in North America.

5,001-10,000

従業員数

Munich

本社所在地

レビュー

3.7

10件のレビュー

ワークライフバランス

3.2

報酬

4.0

企業文化

4.1

キャリア

2.5

経営陣

2.3

65%

友人に勧める

良い点

Good benefits and compensation

Excellent work culture

Flexible work arrangements

改善点

Poor management and lack of direction

High workload and pressure

Limited career advancement opportunities

面接体験

48件の面接

難易度

3.1

/ 5

期間

14-28週間

内定率

39%

体験

ポジティブ 67%

普通 18%

ネガティブ 15%

面接プロセス

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

よくある質問

Technical skills

Past experience

Team collaboration

Problem solving