As the Tech Lead E2E AI Machinery Autonomous Driving Systems you will spearhead the development and optimization of the machinery that efficiently trains optimizes tests and releases various E2E AIbased products (e.g. parking driving interior sensing) for different trim levels (entry mid and high) within our L2 ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery ensuring its scalability reliability and performance. The ideal candidate must have prior industry experience in releasing AIbased L2 systems with a proven track record of translating innovative research into productiongrade solutions.
Key Responsibilities
- Define and drive execution of the technical roadmap and strategy for the E2E AI machinery including training pipelines optimization techniques simulation and MLOps tooling.
- Oversee the design development and testing of the E2E AI machinery and its interaction with data sources model repositories and development targets.
- Collaborate closely with other functional tech leads (e.g. data engineering infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.
- Guide the setup of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.
- Guide the transition from research prototypes to productionready solutions ensuring performance optimization on automotivegrade hardware and scalability.
- Leverage your prior industry experience in launching AIbased L2 systems to implement best practices in system validation testing (SIL/HIL) and continuous improvement.
- Mentor and lead a highcaliber team of AI scientists and engineers fostering a culture of innovation collaboration and technical excellence.
Qualifications :
Basic Qualifications:
- Masters degree or Ph.D in Computer Science Robotics Electrical Engineering AI or a closely related field with a focus on autonomous systems
- 10 years of experience in software development and system engineering for autonomous driving or ADAS applications
- Proven industry experience in releasing AIbased L2 systems with a strong track record of successful product deployments
- Deep knowledge of E2E AI stack solutions and training algorithms including reinforcement learning and imitation learning as well as motion control and optimization techniques
- Deep knowledge of AI frameworks such as TensorFlow and PyTorch
- Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
- Deep knowledge of cloudbased scalable training pipelines MLOps and CICD for training AI models with largescale fleet datasets
- Proven track record of leading the endtoend development and successful deployment of complex AIpowered systems into production environments at scale
Preferred Qualifications:
- Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.
- Proficiency in programming languages such as Python and C.
- Strong understanding of automotive safety standards (ISO 26262 ASIL) and regulatory requirements for ADAS.
- Exceptional leadership and communication skills with the ability to inspire and manage crossfunctional teams.
- Strategic thinker with strong problemsolving abilities and a passion for innovation in autonomous driving technology.
Additional Information :
The U.S. base salary range for this fulltime position is $240000 $320000. Within the range 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. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary Bosch offers a comprehensive benefits package that includes health dental and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings when included generally reflect base salary; certain positions may include bonus or additional benefits.
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drugtesting. 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 :
No
Employment Type :
Fulltime