Expert Deep Learning Engineer (Autonomous Driving) IRC284138

Description

Our client is dedicated to making safe, intelligent mobility a reality. Headquartered in Sweden, they develop a complete, scalable software stack for ADAS and autonomous driving—from sensing to actuation—and are soon to launch with a major global automaker.

Driven by the goal of reducing fatal accidents by 100%, their team of 500+ global engineers combines technical excellence with a shared passion for saving lives. The company values a T-shaped competence profile, prioritizing a strong mindset, responsibility, and collaboration over a pure skill set. They offer a flexible hybrid work environment where ambition, mentorship, and software craftsmanship thrive.

Requirements

Defining the “Expert”
To succeed in this role, you must possess:

• Deep knowledge and intuition for spatio-temporal neural networks: You don’t just use libraries; you understand the mathematical movement of data through time and space within a network.
• Proven experience in E2E driving: You have a background in the AD/ADAS domain and understand the complexities of End-to-End learning architectures.

Technical Skills:

• Deep Learning Mastery: A thorough theoretical and practical understanding of Deep Learning principles.
• Frameworks: Expert-level proficiency in PyTorch or TensorFlow.
• Programming: Advanced Python software development skills (OOP, design patterns, testing).
• Mathematics: Strong foundation in Statistics and Geometry, specifically applied to 3D environments and kinematics.
• Data Engineering: Ability to build and maintain efficient data pipelines for large-scale datasets.

Meriting Competencies (Nice-to-Have):

• Experience with Transformers and Multi-head attention mechanisms.
• Background in Recurrent Neural Networks (RNNs) (LSTMs, GRUs) for time-series data.
• Knowledge of Perception modalities, including Computer Vision, LiDAR, and Radar.
• Experience with Object Tracking algorithms in dynamic environments.

Personal Characteristics:

• Problem Solver: You approach undefined and complex challenges with an analytical mindset.
• Active Listener: You value the inputs of others and listen to understand, not just to reply.
• Humble & Respectful: You are a team player who leaves your ego at the door. You mentor others and accept feedback with grace.
• Responsibility: You have a strong sense of ownership of the “greater picture”—optimizing not just for accuracy metrics but also for the product’s actual safety and functionality.

 

Job responsibilities

We are looking for an Expert Deep Learning Engineer to lead the development of next-generation autonomous driving systems. This is not a standard engineering role; it is a position for a technical leader who possesses a profound intuition for how neural networks interpret time and space.

As an expert, you will look beyond the code to the greater picture, bridging the gap between theoretical deep learning research and real-world implementation in safety-critical environments.

 

#LI-AM4

Key Responsibilities:

• Architectural Design: Design and implement novel Deep Learning models with a focus on spatio-temporal dynamics for autonomous navigation.
• Full-Stack DL Engineering: Manage the lifecycle of the model from data engineering and preprocessing to training, validation, and deployment.
• Mathematical Modeling: Apply advanced statistics and geometry to solve complex perception and path-planning problems.
• Software Excellence: Write robust, production-grade Python code that integrates seamlessly with our broader software stack.
• Big Picture Alignment: Take responsibility for how your models affect the vehicle’s overall behavior, ensuring safety and performance goals are met.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.