기계 공학자

낮은 위험
31%

다음으로 어디로 가고 싶으신가요?

결과를 친구 및 가족과 공유하세요.
다른 직업의 결과 보기 다른 직업과 비교

또는, 이 직업을 더 자세히 탐구해보세요...

투표 댓글 (49)
자동화 위험
계산된
30%
(낮은 위험)
투표 조사
32%
(낮은 위험, 2,620 표를 기준으로)
Average: 31%
노동 수요
성장
11.0%
년도별 2033
임금
$99,510
또는 시간당 $47.84
볼륨
281,290
2023 기준으로
요약
이 눈송이는 무엇을 나타내나요?
스노우플레이크는 다섯 개의 배지를 시각적으로 요약한 것입니다: 자동화 위험(계산됨), 위험(폴링됨), 성장, 임금, 그리고 규모. 이는 직업 프로필의 즉각적인 스냅샷을 제공합니다. 스노우플레이크의 색상은 그 크기와 관련이 있습니다. 다른 것들에 비해 직업이 더 높은 점수를 받을수록 스노우플레이크는 더 크고 더 녹색이 됩니다.
직업 점수
7.9/10
이것은 무엇인가요?
직업 점수(높을수록 좋음):

우리는 네 가지 요소를 사용하여 직업을 평가합니다. 이들은 다음과 같습니다:

- 자동화 될 확률
- 직업 성장률
- 임금
- 사용 가능한 직위의 양

이것들은 직업을 찾을 때 고려해야 할 중요한 사항들입니다.

사람들이 또한 조회했습니다

컴퓨터 프로그래머 변호사들 웹 개발자 전기 공학자 그래픽 디자이너

계산된 자동화 위험

30% (낮은 위험)

저위험 (21-40%): 이 수준의 직업은 기술적인 능력과 인간 중심의 기술을 모두 요구하기 때문에 자동화 위험이 제한적입니다.

이 점수가 무엇인지, 그리고 어떻게 계산되는지에 대한 자세한 정보는 여기에 있습니다.

일부 중요한 직무 특성은 자동화하기 어렵습니다:

  • 독창성

  • 설득

사용자 설문조사

다음 두 십년 안에 완전 자동화될 32%의 확률

우리의 방문자들은 이 직업이 자동화될 가능성이 낮다고 투표했습니다. 이 평가는 계산된 자동화 위험 수준에 의해 더욱 지지받고 있으며, 이는 자동화의 30% 확률을 추정합니다.

자동화의 위험성에 대해 어떻게 생각하십니까?

기계 공학자이 다음 20년 이내에 로봇이나 인공지능에 의해 대체될 가능성은 얼마나 됩니까?

감정

다음 그래프는 의미 있는 데이터를 생성할 수 있을 만큼 충분한 투표가 있을 때 표시됩니다. 이는 시간에 따른 사용자 설문 조사 결과를 보여주며, 감정 추세에 대한 명확한 지표를 제공합니다.

시간에 따른 감정 (분기별)

시간별 감정 (연간)

성장

다른 직업에 비해 매우 빠른 성장

'Mechanical Engineers' 직업 분야의 공석은 2033년까지 11.0% 증가할 것으로 예상됩니다.

총 고용량 및 예상 직업 공석

* 2023년부터 2033년까지의 기간에 대한 노동통계국의 데이터
업데이트된 예상치가 09-2025에 제출될 예정입니다..

임금

다른 직업에 비해 매우 높은 급여를 받는다.

2023년에 'Mechanical Engineers'의 중앙값 연간 급여는 $99,510이며, 시간당 $48입니다.

'Mechanical Engineers'은 전국 중위임금인 $48,060보다 107.1% 더 높은 금액을 지불받았습니다.

시간에 따른 임금

* 노동통계국의 데이터

볼륨

다른 직업에 비해 더 넓은 직업 기회 범위

2023년 현재, 미국 내에서 'Mechanical Engineers'로 고용된 사람들의 수는 281,290명이었습니다.

이는 전국의 고용 노동력 중 약 0.19%를 대표합니다.

다시 말해, 약 539명 중 1명이 'Mechanical Engineers'로 고용되어 있습니다.

직무 설명

도구, 엔진, 기계 및 기타 기계적으로 작동하는 장비의 계획 및 설계에 관한 엔지니어링 업무를 수행합니다. 중앙 난방, 가스, 물 및 증기 시스템과 같은 장비의 설치, 운영, 유지 보수 및 수리를 감독합니다.

SOC Code: 17-2141.00

댓글 (49)

댓글 남기기
THOMAS TAN (기회 없음)
04 10월 2025 03:31
Mechanical Engineers or Design engineers still require a human touch and creativity on design.
Matthew L (낮은)
05 6월 2025 13:54
As AI-aided machines replace human workers (e.g. Spot), they will need mechanical engineers to oversee them.
RP (낮은)
08 4월 2025 20:44
I'm a mech eng, and IAs can't actually do a lot of stuff we do.
Anirudh (낮은)
19 3월 2025 03:30
You need someone to make robots for robots to replace them.
b (낮은)
21 8월 2023 13:54
because we make the robot
Jacob (기회 없음)
04 11월 2025 19:52
There is no way AI can implement complex solutions without human insight. AI can know about Structural Integrity, Dynamics, Thermodynamics and Differential Equations but it cannot meaningfully create necessary solutions because the algorithms aren’t designed to problem solve, they’re designed to give the most appropriate answer.
Zak Cullen (낮은)
10 6월 2025 23:57
depends a lot on real world decision making, value judgements/deciding what you believe is important to prioritise and management
Raúl (기회 없음)
02 7월 2024 06:39
I think it has no chance because cars can have rust or other problems a robot can't understand and deal whit them.
Valentina C (낮은)
25 2월 2025 15:03
They prob wont take the job cs you need to see the machines, scan them to find the mistakes, and be reallly specialized on that area to find them, but its still very possible to do it. Im scared.
Congo (기회 없음)
16 6월 2024 21:08
Simply in this area of engineering there is no chance of robot or AI taking it. Maybe in the long run yes, but there is still a pretty long way of developing AI to substitute a mechanical engineer, for now and 1 or 2 decades is impossible. Maybe in the third decade or fourth but with a lot of funding and a lot of training. Because you need to think that to be able to make an AI/robot that can surpass or substitute a human it will need to be only focused on this area, not pretty cost-effective, for the AI industries.
Burke (기회 없음)
13 2월 2024 05:13
Mechanical Engineering, like all disciplines of engineering, requires the ability to make difficult ethical decisions regarding systems that affect all of society. This is something that not even the most advanced generalized AI of the future is capable of doing.

Engineering is also a profession, which means that its members set the standards for who can be called an engineer and take responsibility for their decisions. AI cannot make decisions in light of the weight of their actions. It is a tool, not a person, which ultimately undermines any semblance of accountability that is necessary for engineering to be a respectable and societally beneficial profession.
Michal (기회 없음)
09 11월 2023 19:28
I believe mechanical engineering to be far too interdisciplinary (design, manufacturing, economics) to be fully automated a whole. I see AI taking over or speeding up certain specific tasks that mechanical engineers are burdened with, never their entire role.
Cyril (적당한)
06 5월 2023 06:35
As I said. It will certainly take over some tasks that are simple. So it reduce the need for so many ppl, but still the engineers are needed to decide what to do, or to revise AIs work
George Smiley (적당한)
21 2월 2023 11:53
Speaking from the point of view of a simulations engineer who build mathematical models using finite element analysis, I think automation will at first assist simulations engineers but will eventually replace them as it learns best practices for how to overcome convergence issues or nonsensical results.
Gavin
03 7월 2024 01:08
I think ai will eventually replace parts of every profession but there are many there are things that just can’t be taught to something that cannot feel. It’s impossible to know what pain is if you’ve never experienced it. It’s impossible to understand the feelings of others if you have never felt. It’s impossible to know how to make someone’s life easier if you have no life.

Imagine you live your life in black and white from the moment you’re born to the time you’re 16. During this time you’re taught everything there is to know about color. You could talk about color for hours yet you still wouldn’t truly understand what color is until you actually see it. Now imagine that this is a friend of yours and you’re trying to explain the color yellow to them. You might tell them that yellow is a sunny day and energy or electricity, that it’s happiness or something else that you associate with the color yellow. Your friend will most likely not think of sunny days and electricity being similar in anyway and probably be very confused. Your friend represents ai and its ability to understand human wants, needs, and the way people live their lives. Making these three things easier to access or do are one of the main purposes of this job. Also there’s the whole ethical debate because it’s set to be as productive as it can, and eventually humanity gets in the way of that and it has to get rid of us
Sam (기회 없음)
03 2월 2023 01:04
People that build and create won't be replaced by AI. Chat GPT said it itself that it simply doesn't have the creativity of a human.
John (In college and worked in some factorys) (낮은)
18 11월 2024 15:36
I think some mechanical engineers will get replaced by the gain in efficiency that other engineers get form AI, a total AI/Robot taking of the job is not in the foreseeable future.
Arthur Schroeder (기회 없음)
12 9월 2024 02:42
It’s a very hard job and very complicated and I don’t think robots are automating that any time soon…
Gavin (기회 없음)
02 7월 2024 22:38
Artificial intelligence does not have the creativity needed or the ability to fully understand some of the problems people go through throughout the world.
John F. Sutton (낮은)
23 10월 2023 18:16
This is a sometimes tough job and would be hard to automate for good reason such as:

1. Fixing stuff, this is complicated as it could literally be anything that could be broken about something.
2. Complexity, the more complex a job is, the more unlikely this job will be taken, this job is hard and absurdly complex sometimes.
3. Problems, this job can cause lots of issues with AI and it is the communication and bugs/viruses that could occur, the cost of these robots would be nuts and it would be hard to afford these machines.
4. Design, AI is a complex work of coding, there is one problem, how would they make the design of there robots that won't screw up how they work, they have to be just right to mimic a person and that would be hard to do.
dhaarini (불확실한)
10 9월 2023 06:44
no trained machine has ever come too close to designing any whole equipment. but certainly, I feel there are specific jobs that could be automated like pressure, stress, strain detection and analysis
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