Richard Gruner
Staff Technical Program Manager
Erfahrungen
Feb. 2022 - Bis heute
3 Jahren 3 Monaten San Francisco, Vereinigte Staaten
Staff Technical Program Manager
Kyte Systems
- Supervising four key technical initiatives across Engineering teams (as one 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.
Mai 2021 - Jan. 2022
9 Monaten San Francisco, Vereinigte Staaten
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
März 2019 - Apr. 2021
2 Jahren 2 Monaten Sunnyvale, Vereinigte Staaten
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, e.g. for new vehicle prototypes, feature implementations, code quality, and SW 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
Okt. 2018 - März 2019
6 Monaten Sunnyvale, Vereinigte Staaten
Sr. Engineer Machine Learning – Environment Modeling
Mercedes-Benz R&D
- In addition to previous role, I 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
Mai 2017 - Sept. 2018
1 Jahr 5 Monaten Sunnyvale, Vereinigte Staaten
Machine Learning Engineer – Environment Modeling
Mercedes-Benz R&D
- Working on Level 4 autonomous vehicles in the field of Scene Understanding & Prediction, Traffic Light Handling, High-Level Planning (using C++, ROS, Python, numpy, Tensorflow, custom frameworks)
- Software testing and evaluating using testing suites, simulation, and in-vehicle tests
- Acquired various Daimler driver licenses and tested systems on prototype vehicles on test tracks and public road
Dez. 2016 - Apr. 2017
5 Monaten München, Deutschland
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")
Mai 2016 - Dez. 2016
8 Monaten Sunnyvale, Vereinigte Staaten
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 IV2017
Zusammenfassung
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 Learning Robotic 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
Communication German (native), English (close to native), French (intermediate)
Strong communicator, comfortable with public speaking, moderating discussions, and leading workshops
Sprachen
Deutsch
Muttersprache
Englisch
Verhandlungssicher
Französisch
Fortgeschritten
Ausbildung
Okt. 2015 - Juni 2016
UPMC Paris
MSc · Mechanical Engineering · Paris, Frankreich
Okt. 2014 - Juni 2016
Technical University of Munich
MSc · Mechanical Engineering · München, Deutschland
Okt. 2013 - Juni 2014
BCIT Vancouver
BSc · Engineering Science · Vancouver, Kanada
Zertifikate & Bescheinigungen
Daimler Driver Licenses
Daimler
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