Software Developer - Validation Engineer (f/m/div.)

Joinimagine; Braga; Híbrido; EUR 55 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work conditions

Hybrid work system

Health insurance

Canteen

Resumo da oferta

Bosch Car Multimedia, S.A. is seeking a Ground Truth Engineer to help validate perception functions for autonomous driving.

You will develop and evaluate automatic labelling for sensor data and build robust toolchains for multi-sensor setups including LiDAR, radar and camera. You will translate perception requirements into practical software, implement performance evaluation scripts and KPIs, and collaborate across teams in an international environment.

Qualificações

• MSc or PhD in Computer Science, Software Engineering, Robotics, Electronic Engineering or a comparable technical field.
• Experience in software development using Python, ideally in machine learning, sensor data processing, perception or autonomous driving.
• Experience working with sensor data from radar, LiDAR and/or camera systems is an advantage.
• Good knowledge of Python, Linux, Docker and PyTorch, as well as Git and DevOps tools.
• Very good English written and spoken skills; communicate effectively in an international environment.
• Analytical, structured and results-oriented approach; able to translate complex requirements into practical software solutions.

Responsabilidades

• Validate perception functions for autonomous driving within the Ground Truth Team.
• Develop and evaluate automatic labelling solutions for sensor data across LiDAR, radar and camera.
• Create high-performance ground truth toolchains for complex sensor setups and implement evaluation scripts and KPIs.

Conhecimentos

Python

Linux

PyTorch

English

Formação académica

MSc or PhD in Computer Science or related field

Ferramentas

Git

Docker

Kubernetes

Descrição da oferta de emprego

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big:

As part of our Ground Truth Team, you will contribute to the validation of perception functions for autonomous driving. One of the key challenges in this field is the need for large amounts of accurately labelled sensor data, which is still often generated through manual processes.

Your mission will be to help address this challenge by developing and evaluating solutions for the automatic labelling of sensor data and assessing their performance across different sensor technologies.

Make the future a reality: Develop high-performance, robust and innovative ground truth toolchains for complex sensor setups, including LiDAR, radar and camera, supporting perception applications for autonomous driving.

Drive engineering excellence: Translate perception requirements into ground truth solutions, develop innovative post-processing toolchains and implement performance evaluation scripts and KPIs to assess both perception and ground truth performance.

Enable data-driven development: Work with large-scale sensor data and contribute to solutions that support the development and validation of ADAS and autonomous driving perception functions.

Take responsibility: Act as a key enabler for other development teams by openly communicating the opportunities and limitations of the developed solutions and providing feedback to perception teams based on your performance evaluations.

Collaborate: Work closely with colleagues from different technical areas in an international and interdisciplinary environment, contributing your ideas and technical expertise.

Qualifications

What distinguishes you:

Education

• M.Sc. or Ph.D. in Computer Science, Software Engineering, Robotics, Electronic Engineering or a comparable technical field.

Experience:

• Experience in software development using Python, ideally in the context of machine learning, sensor data processing, perception or autonomous driving.
• Experience working with sensor data from radar, LiDAR and/or camera systems is an advantage.

Know-how

• Good knowledge of Python, Linux, Docker and PyTorch, as well as common development and DevOps tools such as Git.
• Familiar with writing well-structured, maintainable and reliable code. Knowledge of perception and/or sensor fusion architectures, sensor raw-data analysis and ADAS data requirements is an advantage.

Languages

• Very good written and spoken English skills, enabling you to communicate effectively in an international environment.

Working Style and Methods

• You work in an analytical, structured and results-oriented way and are comfortable translating complex technical requirements into practical software solutions.
• Experience working in an agile development environment is a plus.

Personality

• You enjoy collaborative problem-solving and exchanging ideas across teams.
• You are curious about software, machine learning and autonomous driving technologies and are motivated to contribute to data-driven development.

Additional Information

Work #LikeABosch includes:

• Flexible work conditions
• Hybrid work system
• Exchange with colleagues around the world
• Health insurance
• Medical office (psychology and general clinic) & Social Services Office on site
• Training opportunities (p.e., technical training, foreign languages training) & certifications
• Opportunities for career progression and continuous professional development
• Access to great discounts in partnerships and Bosch products
• Sports and health related activities
• Great access to public transports
• Free transport from Porto
• Flexible benefits platform
• Free parking lot
• Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!