Description:

This is for Customers’ Function and Simulation – ADAS Development department. Customer is a known brand in the automotive industry.

Requirements:

General skills needed to perform the job

• Bachelor’s Degree in Engineering (computer science or comparable)
• 3+ years of experience with AI / deep learning concepts and experience with at least a few the topics like trajectory prediction, behavior prediction, multimodal architectures, recurrent architectures like LSTMs, transformers, attention, uncertainty, probabilistic models, graphical neural nets, model compression/optimization, etc.
• Effective analytical and conceptual skills to derive adequate solutions for technical problems
• Planning and organization, project management, and time management skills
• Ability to solve complex problems
• Ability to work independently
• Excellent communication skills
• Open-minded and empathic work style
• Excellent team player
• Comfortable with ambiguity and tackling new problems

Required:

• A good fundamental understanding of AI / deep learning concepts.
• Experience with at least a few the topics like trajectory prediction, behavior prediction, multimodal architectures, recurrent architectures like LSTMs, transformers, attention, uncertainty, probabilistic models, graphical neural nets, model compression/optimization, etc.
• Experience with some of the open-source datasets like Argoverse, kitti, nuscenes, etc., and/or similar data coming from simulation ( e.g. CARLA, etc.).
  Strong coding background.
• Experience with statistics, active learning, anomaly detection, continual/lifelong/online learning, etc. for
  Must have a Production/release/shipping mindset.
• Desired:
  Experience with training neural networks with large amounts of data. Robustly training jobs at scale, should it be for production models or quick experiments
• Knowledge of ADAS/AD features
• Experience with in-vehicle ADAS/AD feature verification and validation testing
• Experience with working in OEM environment
• Experience with working in a cross-functional environment.
• Basic German language skills (written and spoken)
• Knowledge of Vehicle architecture
• Preferences:

Bachelors in Computer Science / IT / IS or related fields

Job Responsibilities:

Role Summary

• The role is to support the engineering development of the ADAS/AD feature for series production. The focus is the development of US-specific features and validation of the same. The responsibility starts with creating machine learning models for sensor fusion, situation interpretation, and path planner.
• Once SW is integrated this position will be responsible to perform integration testing in HIL/SIL lab and after successful testing the same need to be verified and validated in the target vehicle environment.
• This position also needs to coordinate with cross-functional team of ADAS/AD team who are located in Germany

Role Responsibilities

• Developing machine learning models for Situation and Interpretation modules (Ex: Intention prediction, Corridor build-up, etc. (60%)
• Data collection from vehicles and training neural networks with large amounts of data (20%)
• Software Integration and Verification in HIL/SIL and Vehicle (20%)

What We Offer

Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development: We provide continuing education classes, professional certification, and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits: We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays.