wcunning
Joined 14 years ago
Joined 14 years ago
In other news, I think I'll be taking a trip to somewhere down south to find a nice, used 1999 F350 dually with a manual transmission, since they're going to cease to exist shortly...
Remote: Yes
Willing to relocate: no
Technologies: Embedded systems, automotive, machine learning, signal processing, data science, real time computing, safety processes (MISRA, ISO26262, etc), MATLAB, FPGA.
Resume: LinkedIn -- https://www.linkedin.com/in/wcunning
Email: wdocunningham \@\ gmail.com
Background: Masters in control theory and signal processing, working in the auto industry for the last 7 years, first on low level powertrain software then the last year or so on LIDAR/computer vision for autonomous vehicles. I've done the most work in C, but I'm now contributing to safety development work with the Rust consortium and Ferrous Systems through my current employer.
Currently doing software defined vehicle software architecture with a focus on fail-safe and fail-operational, loosely coupled, distributed systems. This includes some standards contributions and work with high level suppliers like Nvidia and Renesas for next-generation software/hardware system co-development.
Primary skills include hard real time embedded systems, safety critical applications, firmware development, system integration and complex hardware/software interaction debugging, along with detailed data analysis problems.
Side interests include machining, 3D printing, embedded system development, coffee roasting and furniture making.
Remote: Yes
Willing to relocate: no
Technologies: Embedded systems, automotive, machine learning, signal processing, data science, real time computing, safety processes (MISRA, ISO26262, etc), MATLAB, FPGA.
Resume: LinkedIn -- https://www.linkedin.com/in/wcunning
Email: wdocunningham \@\ gmail.com
Background: Masters in control theory and signal processing, working in the auto industry for the last 7 years, first on low level powertrain software then the last year or so on LIDAR/computer vision for autonomous vehicles. I've done the most work in C, but I'm now contributing to safety development work with the Rust consortium and Ferrous Systems through my current employer. Recently had to read the Linux kernel source and use the BCC tool suite to find a subtle issue in the network stack causing high latency on sensor data for AV, also coincidentally fixed most of the network timing infrastructure.
Currently doing software defined vehicle software architecture with a focus on fail-safe and fail-operational, loosely coupled, distributed systems. This includes some standards contributions and work with high level suppliers like Nvidia and Renesas for next-generation software/hardware system co-development.
Primary skills include hard real time embedded systems, safety critical applications, firmware development, system integration and complex hardware/software interaction debugging, along with detailed data analysis problems.
Side interests include machining, 3D printing, embedded system development, coffee roasting and furniture making.
Remote: Yes
Willing to relocate: no
Technologies: Embedded systems, automotive, machine learning, signal processing, data science, real time computing, safety processes (MISRA, ISO26262, etc), MATLAB, FPGA.
Resume: LinkedIn -- https://www.linkedin.com/in/wcunning
Email: wdocunningham \@\ gmail.com
Background: Masters in control theory and signal processing, working in the auto industry for the last 7 years, first on low level powertrain software then the last year or so on LIDAR/computer vision for autonomous vehicles. I've done the most work in C, but I'm now contributing to safety development work with the Rust consortium and Ferrous Systems through my current employer. Recently had to read the Linux kernel source and use the BCC tool suite to find a subtle issue in the network stack causing high latency on sensor data for AV, also coincidentally fixed most of the network timing infrastructure.
Currently doing software defined vehicle software architecture with a focus on fail-safe and fail-operational, loosely coupled, distributed systems. This includes some standards contributions and work with high level suppliers like Nvidia and Renesas for next-generation software/hardware system co-development.
Primary skills include hard real time embedded systems, safety critical applications, firmware development, system integration and complex hardware/software interaction debugging, along with detailed data analysis problems.
Side interests include machining, 3D printing, embedded system development, coffee roasting and furniture making.
Remote: Yes
Willing to relocate: no
Technologies: Embedded systems, automotive, machine learning, signal processing, data science, real time computing, safety processes (MISRA, ISO26262, etc), MATLAB, FPGA.
Resume: LinkedIn -- https://www.linkedin.com/in/wcunning
Email: wdocunningham \@\ gmail.com
Background: Masters in control theory and signal processing, working in the auto industry for the last 7 years, first on low level powertrain software then the last year or so on LIDAR/computer vision for autonomous vehicles. I've done the most work in C, but I'm now contributing to safety development work with the Rust consortium and Ferrous Systems through my current employer. Recently had to read the Linux kernel source and use the BCC tool suite to find a subtle issue in the network stack causing high latency on sensor data for AV, also coincidentally fixed most of the network timing infrastructure.
Currently doing software defined vehicle software architecture with a focus on fail-safe and fail-operational, loosely coupled, distributed systems. This includes some standards contributions and work with high level suppliers like Nvidia and Renesas for next-generation software/hardware system co-development.
Primary skills include hard real time embedded systems, safety critical applications, firmware development, system integration and complex hardware/software interaction debugging, along with detailed data analysis problems.
Side interests include machining, 3D printing, embedded system development, coffee roasting and furniture making.
Not that many people can afford a new car now at all, and of those who can, they're getting luxury end cars, generally. Luxury vehicles depreciate faster than non-luxury vehicles, generally. People who want used cars are frequently people who can't afford new cars, thus they want something that works in their area in their situation with their stuff as it stands. Many of these people live in places with poor charging networks or rent and cannot install a charger. Used EVs don't come with a free charger like new ones often do. EVs were also being priced and purchased based on the tax credit for quite a while, which meant that price was a little... soft? On top of that, many EVs that fit into this data are selling for less for real reasons, like the uninsurability of Cybertrucks and the range loss on the Bolt EV. This all drives demand down or shifts the curves and lowers prices. It's just a small market for now.