Director of Engineering - Autopilot at Tesla
San Francisco, California
Tesla Motors
Director, Autopilot Software Engineering
San Francisco Bay Area
SKULLY
Principal Engineer, Embedded Systems
May 2015 to April 2016
San Francisco Bay Area
Methodics
Senior Software Engineer
December 2013 to May 2015
Région de la baie de San Francisco, États-Unis
SONY, EVS Broadcast Equipment
Consulting Software Engineer
October 2012 to September 2014
Softkinetic (Acquired by SONY)
Project Lead / Tech PM - Embedded Platforms
June 2011 to September 2012
Région de Bruxelles, Belgique
Softkinetic (Acquired by SONY)
Software Engineer
September 2008 to September 2012
Université Libre de Bruxelles
Internship - Embedded Software Engineer
January 2008 to August 2008
Région de Bruxelles, Belgique
Both a manager and a technical contributor, I've brought up Tesla's successive Autopilot HW2 and HW3 generations of computers and software stacks, integrated them across all Tesla vehicle types and pushed them all the way to mass-production. I've been regularly shipping software updates to hundreds of thousands of vehicles across the world, including compute optimizations, new features,... Both a manager and a technical contributor, I've brought up Tesla's successive Autopilot HW2 and HW3 generations of computers and software stacks, integrated them across all Tesla vehicle types and pushed them all the way to mass-production. I've been regularly shipping software updates to hundreds of thousands of vehicles across the world, including compute optimizations, new features, and system stability fixes.I've been scaling Tesla Autopilot's software- and hardware-in-the-loop continuous integration infrastructure, and developed productivity tools to accelerate our R&D team's development cycles towards full-autonomy. I currently report directly to Tesla CEO.In particular, I currently lead:- Overall System Software & middleware (C/C++ middleware, IPC, process scheduling, Logging, Watchdog, ...)- Computer Vision system software (GPU kernels for post-processing, Neural Network integration, C++ Compute Graph Framework for efficient compute scheduling across multiple devices)- Camera software stack (across all Tesla vehicle types)- Platform Software (Linux kernel/drivers, security, power, board bring-up)- Continuous Integration infrastructure (automated & on-demand support of regression tests, performance tests, Simulation tests, with scheduling on either x86 emulation, as well as on true hardware-in-the-loop setups)- Build System (including remote-caching)- Performance & optimization (responsible for the Autopilot framerate across all platforms)- Telemetry (on-vehicle data capture software, and back-end ingestion services)- Machine Learning infrastructure (training stabilization & scalability, workflow automation)- Tools (sensor clips visualization, data plotting for logs analysis or live debugging)
What company does Milan Kovac work for?
Milan Kovac works for Tesla Motors
What is Milan Kovac's role at Tesla Motors?
Milan Kovac is Director, Autopilot Software Engineering
What industry does Milan Kovac work in?
Milan Kovac works in the Automotive industry.
Who are Milan Kovac's colleagues?
Milan Kovac's colleagues are Eric Qu, Omkar Deshpande, Victor Barclay, Feng Wan, Ian Girard, Daniel Cirulnick, Rachele Hebrank, Fr. Joshua Resnick, Naga Alla, and Vesna Lay
💼 Past Experience
Milan Kovac has over 10 years of experience as a software engineer, with specific expertise in C/C++, Python, and Robust Circuit Design. Kovac has a background in motorcycle design and ride-by-wire control systems, and has experience with everything from motorcycle helmets to car Acoustic Sound Systems. Kovac is currently a Developer at Methodics, where he leads software development on the embedded software stack for their ProjectIC product. Kovac's previous co-workers at Methodics include previous employees from SONY, EVS Broadcast Equipment, and Guru Training Systems.
🎓 Education
Milan Kovac has a Bachelor of Science (BSc), Electrical and Electronics Engineering, which he obtained from the University of Magna Cum Laude Magna cum laude. Kovac also has a studies at the American Physical Laboratory (APLL), where he obtained his Ph.D. project in 2016. Kovac’s doctoral research was focused on the study of opto-mechanical aspects of thin film photonic crystal inmates. Kovac has two granted patents.
💡 Technical & Interpersonal Skills
· electronic engineering and design · programmable design · electronic engineering and design · computer vision · software engineering · system software · middleware · software engineering · computer vision · image processing · 3D Sensor
Introversion (I), Sensing (S), Thinking (T), Perceiving (P)
1 year(s), 9 month(s)
Unlikely
Likely
There's 77% chance that Milan Kovac is seeking for new opportunities
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