Richard Gruner
Staff Technical Program Manager
Experience
Staff Technical Program Manager
Kyte Systems
- Supervising four key technical initiatives across engineering teams (for example: geo-spatial data storage and processing)
- Establishing an alerting and on-call system that monitors the health of all frontend and backend systems and orchestrates the availability of 30 engineers by skill set, timezone and team affiliation
- Created a technical onboarding program for new Kyte engineers: shortened onboarding time from 5–7 weeks to 3 weeks, increased onboarding satisfaction from 45% to 85%, established a technical knowledge base for self-paced learning.
Sr. Backend Engineer – Algorithms & Inference Team
Kyte Systems
- Scaled the system for scheduling car delivery drivers to serve 13 US markets, increasing driver satisfaction and on-time rate
- Redesigned and built a customer verification system, validating driver licenses, financial transactions and court record data
- Onboarded and mentored junior colleagues on team collaboration, code contributions and optimizing impact
Sr. Technical Program Manager – Maps/Environment Modeling/Planning
Mercedes-Benz R&D
- Co-lead together with department manager the technical roadmap and quarterly planning for the Maps/Environment Modeling/Path Planning teams for Mercedes-Benz’ L4 autonomous car project (80+ engineers, 10 scrum teams, 4 countries)
- Steered technical concept work efforts, for example for new vehicle prototypes, feature implementations, code quality and software architecture
- Defined, coordinated and tracked the feature development for the autonomous fleet that got deployed to a public test phase in partnership with the City of San Jose, CA
Sr. Engineer Machine Learning – Environment Modeling
Mercedes-Benz R&D
- In addition to previous role, built up ownership for technical components and responsibility for department-spanning tasks
- Planned and executed development of ML-based algorithms through all stages: from first prototype to testing to fleet deployment
- Headed the research strategy and code development for traffic light state estimation
Machine Learning Engineer – Environment Modeling
Mercedes-Benz R&D
- Worked on Level 4 autonomous vehicles in the field of scene understanding & prediction, traffic light handling, high-level planning using C++, ROS, Python, numpy, TensorFlow and custom frameworks
- Performed software testing and evaluation using testing suites, simulation and in-vehicle tests
- Acquired various Daimler driver licenses and tested systems on prototype vehicles on test tracks and public roads
Visiting Researcher – Chair of Robotics, AI and Real-time Systems
TU Munich
- Facilitated data analysis from self-driving cars through novel methods to represent complex driving scenarios (“Velocity Grids”)
Master’s Thesis Internship – Simulation and Vehicle Testing
Mercedes-Benz R&D
- Created a processing pipeline for the analysis of data recordings from autonomous vehicles
- Designed and implemented deep learning algorithms to automatically identify specific driving scenarios, published state-of-the-art results at IV 2017
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Automotive (5.5 years), Information Technology (4 years), and Education (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Product Development (8.5 years), Project Management (6 years), Research and Development (3 years), Quality Assurance (1.5 years), Information Technology (0.5 years), and Logistics (0.5 years).
Skills
- Software Experience Building Software Systems Along All Stages: Ideate, Design, Review, Implement, Test, Deploy, Monitor.
- Development Backend Systems Using Docker, Python, Flask, Sqlalchemy, Postgresql, Numpy, Pandas Etc.
- Testing On All Levels (Pytest, Mocking, Api Testing)
- Defining System Monitoring And Alerting (Datadog, Sentry, Pagerduty)
- Robotics & Deep Learning For Autonomous Systems, Environment Modeling, Semantic Scene Interpretation
- Machine Learningrobotic System Development With C++, Ros And Custom Frameworks
- Project Experienced Managing Engineering Programs Across Time Zones And Business Units (Okr Tools, Jira, Gitlab)
- Management Leading Teams Using Collaborative Methods, While Keeping Sharp Focus On Project Goals
- Defining, Monitoring, Actively Steering And Reporting Project Kpi’s
- Strong Communicator, Comfortable With Public Speaking, Moderating Discussions, And Leading Workshops
Languages
Education
Technical University of Munich & UPMC Paris
Mechanical Engineering, Master of Science · Mechanical Engineering · Munich, Germany
Technical University of Munich & BCIT Vancouver
Engineering Science, Bachelor of Science · Engineering Science · Munich, Germany
Certifications & licenses
Daimler Driver Licenses
Daimler
Profile
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