Project Engineer (all genders)

understand.ai; Karlsruhe; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Understand.ai, a high-tech leader in AD/ADAS and AI/ML, seeks a Project Engineer to customize products for customer needs. Responsibilities include data management, sensor configurations, and improving ETL tools. We offer a competitive salary and a flexible hybrid work model, fostering a culture where you can make a significant impact.

Leistungen

Competitive salary

Flexible hours

Hybrid work model

Workcation up to 30 days

EGYM Wellpass

Deutschland-Ticket

BusinessBike

Qualifikationen

• 5+ years of full-time industry experience, ideally in customer-facing roles.
• Experience with image and point cloud data formats is a plus.
• Strong communication skills and proactive information seeking.

Aufgaben

• Integrate customer data and improve ETL tools.
• Solve 3D mathematical problems in code.
• Troubleshoot technical issues in the tool chain.

Kenntnisse

Python

Data transformations

Linear algebra

Clean Code Principles

3D geometry

Ausbildung

University degree in Computer Science or related field

Tools

NumPy

OpenCV

Docker

Kubernetes

Google Cloud

Jobbeschreibung

The role

As a Project Engineer (PE), you will be responsible for providing engineering services to customize UAI products and common components to meet customer needs, including sensor setups and data management. You should be proficient in handling large datasets using Python. In this role, you will develop expertise in various sensor configurations for vehicle automation projects, focusing on calibration and data quality enhancement activities.

Your tasks

• As a member of a cross-functional team, you help kick-start our annotation projects and provide the results back to our customers.
• Responsible for the end-to-end integration of customer data and improving our ETL (extract-transform-load) tools.
• Implement importers and exporters, e.g., supporting specific 3D point cloud formats.
• Strive to automate all recurring aspects of your work.
• Solve 3D mathematical problems in code.
• Troubleshoot technical issues in our tool chain.

What will you need to be successful?

• University degree in Computer Science (or a related field) or a proven track record as a Software Engineer.
• At least 5 years of full-time experience in the industry, ideally in a customer-facing role.
• Substantial experience in data transformations, including common data structures (hash maps, etc.) and formats (JSON, etc.). Experience with image and point cloud data formats (PCD, Rosbag files) is a plus.
• Familiarity with linear algebra concepts like vectors, matrices, and transformations, and the ability to solve mathematical problems related to 2D and 3D geometry in code.
• Several years of Python programming experience, including libraries like NumPy and Pandas. Experience with OpenCV is a plus.
• Passion for Clean Code Principles to produce high-quality code.
• Ability to work independently with a strong focus on quality.
• Strong communication skills and proactive information seeking.
• Domain knowledge in ADAS/AD, ML/AI, and Labeling is a plus.

What We Offer

• A company where you can make a difference.
• Being part of a German high-tech success story in AD/ADAS and AI/ML.
• Competitive salary, flexible hours, hybrid work model.
• EGYM Wellpass, Deutschland-Ticket, BusinessBike.
• Up to 30 days of workcation worldwide.

Our Tech Stack

Python, TypeScript, NumPy, Docker, Kubernetes, Google Cloud

About Us

Understand.ai, founded in 2017, aims to make AI accessible by solving the data problem of AI. Our tools and services enable customers to get the right data, quality, and quantity for production-grade AI. Join us on this journey!

Headquartered in Karlsruhe, part of the dSPACE Group since 2019, with over 70 employees. dSPACE, founded in 1988, is a leader in embedded controller software solutions for automotive, aerospace, and manufacturing industries. We focus on innovative tools and services to make embedded control software development more efficient.

Due to our growth, we are scaling our team to continue providing excellent service. We offer an interesting, meaningful work environment with responsibilities and autonomy. We look forward to building the future of ground truth data for autonomous transportation together. Click on the “apply for this position” button to join us!