2,225 karma · joined December 30, 2017
I believe there's also a bunch of Chinese vehicles with similar design, entirely electric drivetrain with gas generators for range extension. Most of these will need to kick in before the battery is empty so that there's some stored energy buffer available for acceleration.
Maybe humans can adapt to care about generated content and treat it with the same emotional weight that human communication has. I don't know if that's good or not.
I'm not sure how a type system would "solve" arithmetic overflow / bounds dynamically, without expensive overhead (boxed types).
Still, it's a nice reminder of my hubris.
Software, and knowledge work in general, is facing an even deeper form of alienation from AI. I don't see how I (just past 30) or future generations will be able to find deep satisfaction from "knowledge work" if this current trajectory holds. I don't think our brains are wired for a life of this without tremendous mental anguish.
If you wanted to divide by height or weight in a binary fashion to reduce the number of teams, then obviously you'll just have some sports where everyone in the under-6' team is 5'11.5, which seems not optimal and unfair.
I wish there was a good solution.
Remote: Preferable
Willing to relocate: To Ontario, or possibly US East Coast
Technologies: C/C++, Python, Linux kernel (yocto, kernel space dev), board bring-up, FPGAs (Xilinx), video, fault tolerance
Github: https://github.com/jmacneal
LinkedIn: https://www.linkedin.com/in/jakemacneal/
Email: jake [dot] macneal [at] gmail.com
Résumé/CV: https://drive.google.com/file/d/1XBxf012ceSOb74_x7tzHvbxiNXo...
Embedded Software engineer with over 6 years of experience building software systems in the aerospace sector. Contributed to multiple spacecraft, including NASA Orion and Gateway (Artemis Program), Chorus Constellation (2026 launch), and EarthDaily Constellation (in- orbit). Built open-source flight software frameworks, application software, Linux kernel drivers, bootloaders, and test infrastructure. Comfortable designing and implementing safety-critical embedded software systems with fault tolerance in mind.
Interested in: Embedded/Firmware roles in aerospace, medical, robotics, semiconductors, and other fields. Especially interested in roles involving edge AI inference.
I have an undergrad computer engineering degree from McGill University, and a CS Master's from UT Austin.
I am a US citizen.
Regards,
Jacob Macneal