Cutting-edge technologies; great name recognition; a dynamic CEO and management team always coming up with new ideas to stay ahead of the competition; pursuit of "green" ideals; enjoyable all-hands meetings every quarter; solid software architecture conceived from the start of the company, not patchy software modified haphazardly; smart peers; great products to be proud of; good availability of training materials and courses.
Too focused on graphics, although new technologies are being added to the company's arsenal, such as SoC, parallel computing, and physics processing. People may be unexpectedly loaned to different departments to redistribute resources as needed (exceptionally).
It would be nice if we had workshops to explain more clearly what other departments are doing, so existing employees' expertise could be used in different areas.
I was contacted by a recruiter after applying. Then, all correspondence seemed like boilerplate scheduling emails; I don't think the recruiter/scheduler spent any time crafting custom responses. I did an initial informational/technical screening, fo
The first process is talking to the manager. He will talk to you about the position and what the group does. Then, ask what experience you have that is common.
Applied through LinkedIn. Had an initial phone screen that went in-depth into ML theory. The interviewer was friendly and gave me lots of hints, but I felt that I didn't do well.
I was contacted by a recruiter after applying. Then, all correspondence seemed like boilerplate scheduling emails; I don't think the recruiter/scheduler spent any time crafting custom responses. I did an initial informational/technical screening, fo
The first process is talking to the manager. He will talk to you about the position and what the group does. Then, ask what experience you have that is common.
Applied through LinkedIn. Had an initial phone screen that went in-depth into ML theory. The interviewer was friendly and gave me lots of hints, but I felt that I didn't do well.