Research Engineer- Advanced Driver Assistance Systems (ADAS)

Sunnyvale, CA - USA

Monthly Salary: Not Disclosed

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

As a Research Engineer for ADAS AI Systems you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include:

Perform engineering tasks to support research in core AI and machine learning fields to enable Embodied AI (including computer vision autonomous planning open-world learning and so on) for related business domains of ADAS/AD industrial automation robotics etc. These tasks include the development and training of AI-planners (using imitation and reinforcement learning) data-preparation tasks (auto-labeling filtering etc.) integrating models into a system context setting up evaluation and benchmarking pipelines creating demonstrations and visualizations and more.
Support the team in pushing the boundaries in (modular) end-to-end perception and planning for ADAS/AD and large vision-language-(action) models.
Collaborate with a global team to transfer cutting-edge research findings to Boschs operational units.
Implement research results to solve real-world challenges ensuring high-quality system integration within Boschs existing platforms.
Stay abreast of the latest technological advancements and market trends by attending academic conferences technical events and seminars.
Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications :

Basic Qualifications

Masters degree in computer science robotics or a related discipline or undergraduate degree with at least 2 years of industry experience after graduation.
A minimum of 2 years of R&D experience or an equivalent graduate research background primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
Proficiency in one or more programming languages commonly used in machine learning (e.g. Python C Rust).
Strong software engineering competencies.
Strong interpersonal communication and teamwork capabilities.
Knowledge of major machine learning frameworks like TensorFlow or PyTorch.
Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO DQN DDPG).

Preferred Qualifications

1 year industry experience in relevant fields after graduation.
Experience with real-world product development and deployment of autonomous systems.
Hands-on experience building training and applying multimodal transformer-based sequence-to-sequence models especially multimodal vision-language-action models.
Hands-on experience in computer vision and deep learning with work in any of the following areas: multimodal transformers multimodal language models diffusion models NeRF gaussian splatting object detection / segmentation 3D scene understanding sensor calibration SfM voxel/BEV grid-based feature representation.

Additional Information :

We offer a competitive base salary for this position with a range in US-California of --$162000 - $180000 along with an annual corporate bonus and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range the individual pay is determined based on several factors including but not limited to work experience and job knowledge complexity of the role job location etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage a 401(k) with generous matching resources for financial planning and goal setting ample paid time off parental leave and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.

Learn more about our full benefits offerings by visiting: Opportunity Employer including disability / veterans.

*Bosch adheres to Federal State and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

Remote Work :

Employment Type :

Full-time

As a Research Engineer for ADAS AI Systems you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include:Perform engineering tasks to support research in core AI and machine learning fields to enable Embodied AI (including computer vision autonomous plann...

As a Research Engineer for ADAS AI Systems you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include:

Perform engineering tasks to support research in core AI and machine learning fields to enable Embodied AI (including computer vision autonomous planning open-world learning and so on) for related business domains of ADAS/AD industrial automation robotics etc. These tasks include the development and training of AI-planners (using imitation and reinforcement learning) data-preparation tasks (auto-labeling filtering etc.) integrating models into a system context setting up evaluation and benchmarking pipelines creating demonstrations and visualizations and more.
Support the team in pushing the boundaries in (modular) end-to-end perception and planning for ADAS/AD and large vision-language-(action) models.
Collaborate with a global team to transfer cutting-edge research findings to Boschs operational units.
Implement research results to solve real-world challenges ensuring high-quality system integration within Boschs existing platforms.
Stay abreast of the latest technological advancements and market trends by attending academic conferences technical events and seminars.
Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications :

Basic Qualifications

Masters degree in computer science robotics or a related discipline or undergraduate degree with at least 2 years of industry experience after graduation.
A minimum of 2 years of R&D experience or an equivalent graduate research background primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
Proficiency in one or more programming languages commonly used in machine learning (e.g. Python C Rust).
Strong software engineering competencies.
Strong interpersonal communication and teamwork capabilities.
Knowledge of major machine learning frameworks like TensorFlow or PyTorch.
Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO DQN DDPG).

Preferred Qualifications

1 year industry experience in relevant fields after graduation.
Experience with real-world product development and deployment of autonomous systems.
Hands-on experience building training and applying multimodal transformer-based sequence-to-sequence models especially multimodal vision-language-action models.
Hands-on experience in computer vision and deep learning with work in any of the following areas: multimodal transformers multimodal language models diffusion models NeRF gaussian splatting object detection / segmentation 3D scene understanding sensor calibration SfM voxel/BEV grid-based feature representation.

Additional Information :

Learn more about our full benefits offerings by visiting: Opportunity Employer including disability / veterans.

Remote Work :

Employment Type :

Full-time

Key Skills

Inventory Control
Basic Math
Paratransit
Tanker Experience
Van Driver
Box Truck Experience
Commercial Driving
Commercial Vehicle Experience
Delivery Driver Experience
Manual Transmission Experience
Driving
Heavy Lifting

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About Company

Bosch Group

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more

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