概述
自动化风险
2. 用户投票
3. 增长
工资
5. 体积
描述
资源
评论

计算机硬件工程师

低风险
27%
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投票 评论 (7)
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自动化风险
计算出的
35%
(低风险)
投票
19.5%
(最小风险)
Average: 27%
劳动力需求
增长
7.2%
到2033年
工资
$138,080
或每小时 $66.38
体积
82,660
截至 2023
摘要
工作评分
7.9/10

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计算自动化风险

35% (低风险)

低风险（21-40%）：这个级别的工作面临的自动化风险较低，因为它们需要技术和以人为中心的技能的混合。

有关这个分数是什么以及如何计算的更多信息可在这里找到。

工作中的一些相当重要的品质难以自动化：

  • 原创性

用户投票

在接下来的二十年内，实现全自动化的可能性为19.5%。

我们的访客投票表示，这个职业被自动化的可能性极小。 然而，我们生成的自动化风险等级暗示了更高的自动化可能性：35%的自动化机会。

你认为自动化的风险是什么？

计算机硬件工程师在未来20年内被机器人或人工智能取代的可能性有多大？






情感

以下图表在有大量投票数据时会显示。这些可视化图表展示了用户投票结果随时间的变化，提供了情感趋势的重要指示。

随着时间（每年）的情绪变化

增长

相对于其他职业的快速增长

预计"Computer Hardware Engineers"的工作空缺数量将在2033内增长7.2%

总就业人数和预计的职位空缺

* 根据劳工统计局的数据，该数据涵盖了从2021到2031的期间。
更新的预测将在09-2024到期.

工资

相对于其他职业，薪酬非常高。

在2023，'Computer Hardware Engineers'的年度中位数工资为$138,080，或每小时$66。

'Computer Hardware Engineers'的薪资比全国中位工资高187.3%，全国中位工资为$48,060。

随着时间推移的工资

* 来自美国劳工统计局的数据

体积

与其他职业相比，工作机会的适中范围。

截至2023，在美国有82,660人被雇佣为'Computer Hardware Engineers'。

这代表了全国就业劳动力的大约0.05%

换句话说，大约每1 千人中就有1人被雇佣为“Computer Hardware Engineers”。

工作描述

进行商业、工业、军事或科学用途的计算机或计算机相关设备的研究、设计、开发或测试。可能监督计算机或计算机相关设备和组件的制造和安装。

SOC Code: 17-2061.00

资源

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评论

Bob (低) 8 months ago
Hardware Engineers take skill and complex learning to do, I don't think ai has the the capacity to do it in this age
0 0 Reply
N (不确定) 1 year ago
https://www.techspot.com/news/101401-samsung-planning-human-free-fully-automated-fabs-within.html
1 1 Reply
Nick (没有机会) 1 year ago
Requires hands on testing and complex engineering problems in the real world that can only be interfaced by physical mediums. Needs to account for human error and potential problems in the intended engineering project. Unless you built a robot human that can design PCBs, circuits, programs… AND order those designs from a fab house and handle the monetary and shipping policies, AND then assemble and check for errors…… etc. Like I said before, AI will be very beneficial in the design process for streamlining tasks for the engineer but it can’t replace the engineer. I hope that I’m not wrong in the future.
0 0 Reply
Chris (极有可能) 1 year ago
Most hardware tasks are highly redundant and can easily be evaluated though simple logic and data analysis. Creating databases of past issues and cataloging problems will allow AI within seconds narrow down issues, based on past issues, to a handful of possible problems that AI would provide step by step instructions to fix allowing people with much lower levels of skill to fix. So while AI won't completely replace people, it will reduce knowledge and as a result salaries of people in these fields and will allow off-shoring of an increasing number jobs that are high skilled today.
0 1 Reply
Rei (适度) 2 years ago
This is about hardware, not the software or the AI. So, the peripheral of the computer, robot with great AI, will likely replace humans. Still, the QC will be handled by humans.
0 0 Reply
Husain 4 years ago
This occupation takes IQ and the ability to work in a team, and robots will hog it all up, and maybe listen to their team if the team is lucky. And robots are weak grabbers, so they cannot grab pieces. They don't know what's in them because they can't dig themselves out. Computer hardware engineers use math, problem-solving, curiosity, and science, and robots maybe don't have problem-solving, and you certainly cannot program something to be curious until some year like 2080, which I cannot imagine.
0 0 Reply
Daniel (没有机会) 4 years ago
I believe humans would never risk computers programming others as if one is wrong, all of them are.
0 0 Reply

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