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Mercedes-Benz Group

# Adas Algorithm Engineer Plan And Control Evaluation 230769 Mer000467U

Operations 

Listed on Mercedes-Benz Group’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.
[Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/adas-algorithm-engineer-plan-and-control-evaluation-230769-mer000467u)

[OpenNash Jobs](https://jobs.opennash.com/) / [Mercedes-Benz Group](https://jobs.opennash.com/companies/mercedes-benz-group/) / Adas Algorithm Engineer Plan And Control Evaluation 230769 Mer000467U

## Job description

### Tasks Evaluation Framework Development

Design, build, and maintain the foundational ADAS performance evaluation framework; e.g., data preprocessing modules, task scheduling engines, and report generation components.

### Performance Evaluator development

Develop scenario-specific Evaluator modules for L2, Active Safety, NGA sub-scenarios; Develop Rule-based Evaluator as baseline, iterate with data-driven parameter tuning using collected field data, build reusable data-driven tooling, and ultimately deliver a Module-based comprehensive Evaluator; Develop agents/skills that restructure Evaluation development workflows and collaboration modes, boosting both productivity and communication.

### Conduct Evaluation

using Golden Sample management and replay pipelines for both open-loop and closed-loop scenarios, covering data selection, version comparison, and regression validation.

### Reporting & Frontend Infrastructure

Develop task-triggering and result-visualization frontend systems for complex evaluation and analysis; support automated generation of major release gate reports and minor version evaluation reports, plus day-to-day operations; AI/Agent Toolchain: Leverage AI, Skills, and Agent technologies to transform development workflows and tooling (e.g., Scrum Master automation), enabling cross-functional teams to onboard quickly into our development ecosystem; Enablement for Non-Algorithm Teams: Based on AD stack code, develop Agent-powered tools for System Engineers and Validation teams (e.g., rapid debug tools driven by test data); provide SWE56 testing tools and bench support; Qualifications Qualification Education § Master in vehicle engineering, computer science, robotics, electrical engineering Automation or a related field.

### Experience
- 3+ years of working experience in autonomous driving, ADAS, or robotics domain; ADAS/AD domain, especially planning algorithm experience preferred; Understanding of L2/L2+ functional scenarios and common evaluation metrics;
- Familiarity with data processing and analysis workflows; Experience with data-driven development, parameter tuning, or applied machine learning; Hands-on experience with one AD stack module (BEV perception, planning with learning-based methods, end-to-end models) is a plus.
- Daily active user of AI coding assistants (Cursor, Claude Code, GitHub Copilot, or equivalent); has built or orchestrated AI Agent workflows for real business tasks
- Strong cross-team collaboration and communication skills; ability to work effectively with suppliers and multiple internal stakeholders.
- Familiar with C++ and Python programming; Familiar with ROS programming and related tools usage;
- Willing to share knowledge, self-motivated, and able to influence and lead the team with a positive, hardworking, and optimistic attitude.

Specific Knowledge § Proficient in automotive electronics industry systems, processes, standards, and toolchains; have an in-depth understanding and insights into the development trends of automotive products and technologies § Proficient knowledge on Plan & Control Algorithm § Proficient knowledge in AD SW development process § Good understanding in ADAS function Design § Good understanding on overall vehicle E/E architecture § Good understanding in CP and AP AutoSAR § Fluent English, German is a plus

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 13, 2026
- Last checked: Oct 20, 2026
- Listed for: 7 days[Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/adas-algorithm-engineer-plan-and-control-evaluation-230769-mer000467u)

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