Job seekers probably have a better chance of hitting the lottery than getting hired at General Motors anytime soon. While that's the case for many OEMs, GM's Tom Thivierge, director of talent acquisition, tells us that resume activity at the automaker has doubled in the past year. "We're getting about 350,000 resumes every six months," says Thivierge, who seems remarkably calm for someone who has got to be up to his ears in paper. "GM is becoming a company of choice," he says. Though Thivierge says that the caliber of current job applicants is outstanding, GM will hire only about 1,000 employees in the coming year. A graduate with an engineering degree who makes the cut (those with a GPA of 3.8 or better out of 4.0) will start near $52k. They'll also pocket a signing bonus of $2 to $3k.
A new service lets engineers and orthopedic surgeons design and 3D print highly accurate, patient-specific, orthopedic medical implants made of metal -- without owning a 3D printer. Using free, downloadable software, users can import ASCII and binary .STL files, design the implant, and send an encrypted design file to a third-party manufacturer.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.