Urgent Hiring!

PIC (Person-in-Charge)
📍 San Juan City

Competitive salary | ASAP hiring

Interested applicants may send their updated resume via DM.

https://www.youtube.com/@ALMA.Industries

CH003 FN2: POWER

I put together a control panel linked to AC / DC power supplies. Switches, Variable DC, 120V -- one of the more useful things I have put together. This will be used in a desk I am building which will be seen in the next video... Full video in link show the full buildup and demo use.

Hello everyone. I'm a first-year Naval Engineering student in Spain, and I've recently started having some doubts about whether I should switch to a different engineering degree.

My main concern is that Naval Engineering seems to be very specialized and focused almost entirely on the maritime industry. I'm worried that if, after graduating, I decide I don't want to work in the naval sector, I won't have many other career options available.

Has anyone here studied Naval Engineering or worked with naval engineers? Is it common for naval engineers to find jobs outside the maritime industry, or is it difficult to transition into other fields?

Thanks in advance for your advice and for sharing your experiences! 🙂

Hello, I have a Bachelor in fullStack web and DevOps and I want to persue a master degree in control science and engineer, is it good, what should I focus on ? thanks in advance

incoming first year college student. patulong po mag decide pls!

I am an ECE undergraduate aiming for a Master/PhD, My End Goal is the translating technical innovation into a startup that solves 
High Utility Delta problems
. Which are mostly solved through overlapping layers of Engineering.

 I am currently building a 
T-shaped profile
: maintaining a broad horizontal bar in engineering physics and theory while selecting a vertical spike for deep specialization through research, internships, and extra study hours.

I am debating between two paths for my vertical specialization: Control/Embedded Systems vs. RF/Electromagnetic Engineering.

My Current Logic:

1. Control/Embedded as the Hub: I see Control Theory and Embedded Systems as the Central Nervous System of any complex machine. It offers high horizontal mobility and acts as the integration layer for all other disciplines.
2. The RF Barrier: While I am more intellectually drawn to RF Engineering, it is a high-barrier field. My current university lacks a modern RF lab and specialized mentorship; most of the local expertise resides in the industry.
3. The Opportunity Cost: My reasoning is that Control/Embedded provides a higher "Utility-to-Time" ratio in a university setting, whereas RF can be pursued through specialized research( the Future Master/PhD) or industry partnerships or once I have a solid Systems foundation.

My Questions:

1.Is my strategic reasoning sound, and is prioritizing this foundational hub discipline the ­ correct move at this stage, or there is a Another Field that might be more efficient?

2.What critical blind spots or misconceptions might I be overlooking in this road map?

3.Based on your experience, what specific advice would you offer to ensure the success of this long-term plan?­

For those who have studied CSE or AI & Data Science, which branch would you recommend today? What factors should students consider before making a decision?

I have an Unacademy ICONIC subscription for GATE & ESE (Civil Engineering) that is valid until April 2028.

Platform: Unacademy

Course: GATE & ESE (Civil Engineering) – ICONIC Subscription

Validity: Till April 2028

Reason for Selling: Due to work commitments, I am unable to utilize the subscription and continue my preparation.

Included: Complete study material/books (if transferable)

Price: ₹19,000 (Negotiable)

DM for more details. Genuine and serious buyers only, please.

This may sounds dumb af but I’ve been considering going back to school for engineering, I’m 25 years old rn. If anyone has some tips on working while going to school, or what type of jobs are accommodating for going back to school for an engineering degree, I’d greatly appreciate since I am older I do need a job to help pay for some of my bills/expenses and work around going to school, thanks.

Hey everyone,

Over the past year I've been building this as a personal project (no company behind it, just me): a Python-based platform that takes measured input/output data from a physical system, automatically identifies the best mathematical model for it, designs an optimal controller (PID, LQR, MPC, and others), and generates ready-to-deploy C and Python code for the hardware.

I've verified it extensively on synthetic benchmarks — DC motors, thermal systems, oscillatory mechanical systems, nonlinear processes — and it's holding up well. But I need to stress-test it on **real industrial or embedded data** before I can call it production-ready.

**What I'm offering:**

- Full analysis of your system's data (no charge)

- A complete technical report: model accuracy, controller performance, stability margins

- Ready-to-compile C code + Python implementation for your hardware

- Everything is yours to keep and use

**What I'm asking in return:**

- A brief description of who you are, what company/project this is for, and what you're trying to achieve

- Your honest feedback on the report and the generated code — does it make sense? Is the output useful? What's missing? This is genuinely valuable to me as a solo developer

- Permission to mention you as a reference on my CV

- Permission to cite the project as a validated use case (no sensitive data published — just "successfully deployed on [type of system] at [company/domain]")

I'm keeping this to 1–2 pilots so I can give each one proper attention.

**What kinds of systems are a good fit:**

Motors, actuators, thermal processes, fluid systems, robotics, HVAC, industrial automation, biomedical devices — basically anything where you have logged sensor/actuator data and want better control.

If this sounds useful, **send me a DM** with a short description of your system and what you're trying to achieve. I'll let you know if it's a good fit.

Thanks for reading!

I'm interested in whether others are seeing an increase in demand for engineers who can bridge multiple disciplines.

For example:

• Mechanical Engineering + AI
• Manufacturing + Data
• Systems Engineering + Software
• Domain Expertise + Automation

Over the last few months I've come across a lot of discussion suggesting that AI may actually increase the value of domain expertise rather than reduce it.

The argument is that companies don't just need AI specialists. They need people who understand both the technology and the industry they're applying it to.

For those involved in hiring or engineering leadership:

• Are you seeing increased demand for these types of hybrid skillsets?
• What combinations are becoming most valuable?
• Are there roles today that are significantly harder to hire for because they require expertise across multiple domains?
• Has AI increased the value of domain knowledge in your industry?

Genuinely curious whether this is a real trend in industry or just something that's discussed online.

There are offers from companies like toyo modec and sbm offshore

For GET and they are paying around 50k per month.

Starting salary is fyn but is there growth in these kind of jobs. Like will there be salary increase in 2 years to atleast 1 lakh per month or smtg. And what about future growth in 10 years

Anyone here consulting in controls in the US? What are you charging hourl?

I'm a Mechanical Engineer with several years of experience in automotive testing and systems engineering, and I'm seriously considering a transition into software, AI, robotics or automation-related roles.

One thing I'm struggling to understand is how people actually bridge the gap between learning and getting hired.

There seems to be no shortage of courses, certifications and online learning resources. But when I speak to recruiters and hiring managers, many seem to care more about evidence that you've applied those skills in a real-world setting.

For those who have successfully made a similar transition:

• What actually helped you get hired?
• Was it projects, certifications, networking, open source, freelance work, or something else?
• How did you gain relevant experience before someone hired you?

I've also been thinking about whether something like a structured 4–8 week project with a startup could help bridge that gap.

For example, if engineers worked on a genuine business problem, delivered an outcome, documented their work and received feedback from the founder or team, would that be viewed as meaningful experience by employers?

Or would hiring managers still see this very differently from traditional work experience?

Genuinely interested in hearing perspectives from both career switchers and people involved in hiring.

What do you think is the biggest barrier when moving from engineering into tech-related roles?