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

As part of our Ground Truth Team, you will contribute to the validation of perception functions for autonomous driving. Your mission will be to help address the challenge of accurately labelled sensor data by developing and evaluating solutions for automatic labelling and assessing performance across sensor technologies.

• Develop high-performance, robust and innovative ground truth toolchains for complex sensor setups, including LiDAR, radar and camera, supporting perception applications for autonomous driving
• 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
• Work with large-scale sensor data and contribute to solutions that support the development and validation of ADAS and autonomous driving perception functions
• 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
• Work closely with colleagues from different technical areas in an international and interdisciplinary environment, contributing your ideas and technical expertise

• M.Sc. or Ph.D. in Computer Science, Software Engineering, Robotics, Electronic Engineering or a comparable technical field
• Experience in software development using Python, ideally in the context of machine learning, sensor data processing, perception or autonomous driving
• 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
• Very good written and spoken English skills, enabling you to communicate effectively in an international environment
• You work in an analytical, structured and results-oriented way and are comfortable translating complex technical requirements into practical software solutions
• 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

• Experience working with sensor data from radar, LiDAR and/or camera systems is an advantage
• Knowledge of perception and/or sensor fusion architectures, sensor raw-data analysis and ADAS data requirements is an advantage
• Experience working in an agile development environment is a plus

• 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
• Supported employee car park on site, free bicycle parking in the courtyard, secure bicycle parking space for rent, e-bike charging stations
• Company bike leasing, choice between a free ticket for core zone, a subsidized Klimaticket, or an employee parking space
• Flexitime and modern working time models ranging from part-time to job sharing, home office and incorporated window days off
• Occupational health care and counselling by internal medical staff, free vaccinations, attractive health insurance, psychosocial and therapeutic counselling, personal health care, workshops and lectures on the subject of health
• Company pension scheme from the 3rd year at Bosch
• Discounted purchasing conditions with us and our partner companies, subsidised cultural and leisure events
• Bosch Bus to direct connection Porto <> Bosch Braga
• Healthy and tasty meals at subsidised prices in our company restaurant and cafeteria, free coffee in our coffee kitchens

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.