Applied Intuition is looking for a Software Engineer with expertise in mapping and localization for autonomous vehicles or mobile robots to join our fast-growing autonomy team in Stuttgart. You will play a key role in developing high-performance solutions for autonomous and advanced driver-assistance systems, with broad responsibilities and direct influence on program outcomes.
What You'll Do
- Design and implement a top-notch mapping and localization solutions, tailored for the use-cases at hand, running both on-road use on embedded ECUs and in the cloud
- Implement run-time-efficient in-vehicle SW for on automotive SOCs
- Build backend infrastructure for building, storing and processing of maps, both for use in ADAS/AD production-functions and for training ML models
- Apply automated techniques to generate maps from raw data, using and improving our internal tools for viewing and editing maps
What We're Looking For
- Passion for building a best-in-class mapping and localization systems that is absolutely reliable for demanding real-world environments
- MSc in mapping, localization, or closely related field
- 3+ years of experience building software components or (sub) systems that address real-world mapping and localization challenges
- Hands-on experience with more than one domain relevant software framework or tools, such as middlewares, benchmarking suites, data sets and related pipelines, or algorithmic libraries
- Deep understanding of the core localization concepts, world representations and transforms, the intersection of mapping of localization, and error analysis and characterization
- Knowledge about how to analyze and compare the performance of various hardware solutions for localization
- C++ and/or Python programming expertise
Nice to Have
- PhD in mapping, localization, or closely related field
- Deep hands-on expertise in relevant algorithms or methods, such as SLAM, probabilistic filtering, non-linear optimization, computational geometry, numerical analysis, or distributed systems
- Experience with large-scale data processing using frameworks
- Experience developing on automotive SOCs and middleware
Technical Stack
- C++
- Python
- SLAM
- probabilistic filtering
- non-linear optimization
- computational geometry
- numerical analysis
- distributed systems
- automotive SOCs
- middleware
- benchmarking suites
- data sets
- algorithmic libraries
Team & Environment
- Early member of a fast-growing autonomy team with broad responsibilities and impact on overall program direction
- Hands-on engineering culture
- Fast-moving environment
- Focus on excellence in products and business
- Customer-focused team culture
- Trust employees to manage schedules responsibly
- Encourages applying even if not all qualifications are met
Benefits & Compensation
- Opportunity to be an early member of a fast-growing team with significant impact
- Dynamic and customer-focused team culture
- Work in a company that moves fast and focuses on excellence for products and business
- Flexibility to manage schedules responsibly, including occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments
Work Mode
Employees primarily work from the Applied Intuition office 5 days a week, but occasional remote work is permitted. Flexibility includes starting the day with morning meetings from home before heading to the office or leaving earlier when needed to accommodate family commitments. Location: Stuttgart.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. The company abides by 41 CFR 60-1.4(a), 41 CFR 60-300.5(a), and 41 CFR 60-741.5(a), which prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. The company also complies with Executive Order 13496 regarding employee rights under federal labor laws and takes affirmative action to employ and advance individuals without regard to protected characteristics.
