The project will highlight the importance of advanced data centres that can meet the demands of cutting-edge artificial intelligence applications. The expansion of the partnership between the two companies marks a significant step towards unlocking the true potential of artificial intelligence.

The plan is to have the supercomputer up and running by 2028, with initial information that it will be deployed in the US. The project is part of a multi-phase initiative with a horizon of six years. It is divided into five phases, with Stargate representing the final stage. Microsoft is currently developing a smaller supercomputer for OpenAI that will be released in 2026.

A significant amount of investment is also being devoted to the creation of Stargate and the provision of artificial intelligence chips, which are essential to the supercomputer’s functionality.

Stargate is poised to become a transformative leap in artificial intelligence infrastructure.

According to insiders, there is a high probability that the cost of creating the supercomputer will be over $115 billion, which is significantly more than Microsoft’s capital expenditure on infrastructure last year.

The partnership between Microsoft and OpenAI is a strategic move to maintain its leadership in AI innovation. By investing in the development of Stargate and collaborating with industry stakeholders, Microsoft seeks to push the boundaries of AI’s capabilities and pave the way for transformative advancements in a variety of fields.

Below you’ll see some of the tech trends showcased during NVIDIA GTC that we hear about from TechRepublic.

Advanced generation with advanced search

A technology that aims to reduce AI “hallucinations” or inaccuracies, advanced search generation allows the generative AI model to check its work against external resources, such as scientific papers or documents. RAG appeals to enterprise customers because it increases the reliability of the generated content.

“AI factories” to increase storage and computing needs

Many NVIDIA GTC organizations have described themselves as “AI factories” that provide enterprises with access to the storage and computing power they need to create artificial intelligence.

NexGen Cloud, which calls this service “GPUaaS,” is among the companies that will provide access to NVIDIA’s 10 trillion-parameter Blackwell GPU (Figure A) later this year.

Ten trillion parameter jobs require a lot of compute, and organizations are betting they can create a business model by providing just the right amount of compute power to customers.

During a preview briefing on March 15, Greg Findlen, senior vice president of product management for data management at Dell, shared that data storage must support high-performance structured data as well as unstructured data, such as documents, images and video.

Edge AI

Organizations that focus on edge AI also took their place at NVIDIA GTC 2024, with a wide variety: robotics, automotive, industrial, healthcare, mission-critical systems, and retail.

Many of these were powered by NVIDIA’s Jetson robotics platform. Jetson Orin’s NVIDIA Metropolis microservices allow developers to use API calls to create generative AI capabilities, making robots more reactive and flexible to their environment.

Private AI for enterprises

Organizations are working on creating private generative AI that can securely access their own data while providing the flexibility of a publicly available AI like ChatGPT.

During the show, NVIDIA mentioned Mistral AI several times, which provides a large open source language model that customers can host on their own servers.

Copilots can draw on company-owned data

NVIDIA GTC features a wide range of AI Copilots that can draw answers from specific, company-owned structured and unstructured data.

Since 1991, Obradovic has been working at Sombor Gymnasium, except for a brief period from 1993 to 1997 when he worked as a programmer in a software company. He has a strong focus on competitive algorithmic programming, achieving significant success with his students. Several of his former students now work for renowned companies like Microsoft and Nordeus.

His accolades include leading his school team to victory in the High School Programming League 2012/13 and consistently participating in all 15 Microsoft “Bubble Cup” Finals. Obradovic has been recognized for his outstanding contributions to education, receiving prestigious awards such as the “Svetosavska nagrada” from the Serbian Minister of Education and the “Charter of the City” from Sombor.

Despite his programming achievements, Obradovic also prioritizes outdoor activities. For the past 18 years, he has organized nature expeditions for his students, involving canoeing, mountain climbing, and wilderness camping, covering over 1000 km per season. Additionally, Obradovic participates annually in the international programming competition CodeIT, where he not only guides his students but also competes alongside them, showcasing his dedication to both their development and his own continuous learning.

With a strong commitment to both programming and outdoor education, Obradovic continues to inspire and lead his students, fostering their talents in various domains.

For DevStyleR, the man who learned to code without a computer – Dusko Obradovic shares more about the importance of programming in his life, reveals to us the secret of a successful and beloved leader, and what it feels like to stand next to his students during CodeIT.

What does programming mean to you and how did your love for it develop?

At first, programming was just my job. Fortunately1, my programming career lasted for only 3 years. I had been working in a firm which made programs for accounting, and those challenges faded very quickly. For the following 3 years, I was working in Hungary as an entrepreneur in retail. Since 1998 until today I have been working in Grammar School in Sombor as an IT teacher. Ever since then, for me programming is pure pleasure.

You mentioned that you learned to program without a computer. How is that possible?

I suppose that today it would be very difficult. Almost impossible. Not because today’s children couldn’t do it, but because today’s technology makes the process of learning programming easier. At that time, there was no other way. I wrote my first program on a programmable calculator after 15 months of learning from a notebook and a board. I wrote my first program on a computer after 2,5 years, in 1984 in PASCAL on Honeywell. Soon after that, the first personal computers appeared on my faculty, but we didn’t have access like today – one or two times a week, for a few hours, mostly at night. There was no internet for us, mere mortal students.

The school team you lead in Serbia is the only one in the world that has participated in all 16 finals of the Microsoft “Bubble Cup”. How do you achieve such success?

We could say that at the beginning it was just a lucky set of circumstances, which in time grew into something inevitable. Experiences of older teams and their stories year after year inspire new generations to take part in qualification competitions. In the past 8 years, CodeIT qualifications have had the same priority with us as well.

These two competitions, and especially the marathons assignments, are priceless in the process of my students’ advance. Knowing that they have 20 days to solve the problem makes most of them to learn new algorithms and structures in that period so that they would make their placement better.

The fact that you don’t have to catch the beginning of the competition, that even less efficient solutions are also valued and the lack of time penalties all brought to the fact that longer qualification rounds are more popular in my school than the sprint rounds. Even if we put aside those who are satisfied with even getting a shirt, we can say that the fever of CodeIT and Bubble Cup is always present in our school.

You have received numerous awards in Serbia, including the “Svetosavskа Award” and the “Povelja grada”.

Both awards are not just the product of success in programming. Over a month which I spend in nature with my students has equally contributed, if not even more, to receiving those awards. I divide my year into programming season: from the finals of Bubble Cup at the end of September, over winter and spring, until the end of the finals of CodeIT at the beginning of June; and on the adventurous season: during the summer. This other includes camping, fishing and ecological-rowing expeditions. During those, we compensate nine months of cyberspace with the life in a complete natural environment without any comfort.

What is the secret to building a cohesive community that competes among itself in various competitions?

Today’s way of life, which is considered as a contemporary value, and extreme influence of mass media led to the fact that in Serbia there are no more colleagues ready to do something like that. As far as I know, it is similar in Bulgaria as well.
The other reasons are, that those who have the knowledge to pass on to new generations will rather work somewhere else for 2000+ EUR instead for 750EUR, which is the salary for teachers in Serbia.

I wouldn’t call my way of work a secret.

• – With my students I don’t have a typical teacher – student relationship. We are all pals, and in many programming competitions and on CodeIT in finals we compete against each other. (This does not apply when I have to mark them).
• Experiences of earlier generations from their faculties and jobs in IT companies, through the students themselves, their friends and relatives in one small town are easily spread, so many elementary school pupils are coming to my extra classes even before they enroll Grammar School.
• My extra-curricular classes are open to students from other schools as well.
• There are no divisions on gender, classes, religions… so, except on competitions, you can always count on help of those who are around you.
• Many of those students enjoy the natural beauties of Serbia with me, next to some water during a big part of summer in the adventurous season.
• In the programming season I do about 5 hours of extra-curricular classes a week. On the contrary to other professions in Serbia, doing extra hours in teaching is not paid.

How do you prepare students for Olympiads and competitions, and what is the best advice you give them before each event?

Before competitions in our country there is a list of advice that competitors should acquire. That list was based on hundreds of points that previous students had lost on their competitions, and that led to a difference in points on their expense.
Choice of the adequate type of data structures and their sizes.
Obligatory winning the partial points, if there are some.
Narrowing down of the possible ways of solving the tasks based on given limitations.
And many more…

Nemanja Majski is my only student who has achieved this so far. And for more than a year he has been working alone and going to Belgrade at weekends, where he and a few more students have been prepared for the international competitions. This, of course, makes me proud.

Talent or hard work – which one is the key to success?

It depends on what you consider a success. If success is getting a job in an IT company, it doesn’t matter. If the aim is to work in a better firm with a bigger salary, it is possible to achieve with less talent and much work or vice versa.

If success is reaching a level where you can choose where you want to work, you need both talent and a lot and a lot of work.

Now that you have mentioned this, I have to say that it is a big pity that in our two countries a good system doesn’t exist. It all depends on the individual. There are talented children everywhere. The proof for that are not so big towns like Sombor (SRB) and Shumen (BG). Whether they will be found and start their way in which their talent will be fully used, depends on luck as well. You should be born in a town like this or its surrounding at the time when there live enthusiasts who put long-term strategic aims in front of their own personal material ones.

You have been competing alongside your students at CodeIT for years. What do you feel and think when you stand next to them during a competition?

Since the codes are public after the competition, I cannot hide the ways I approach solving of the marathon tasks. Honestly, that is not my aim at all. But during earlier competitions that was my advantage. Tempo in which I type and test, comparing to my students, is certainly my handicap. Even reading the text of the task takes a considerable amount of my time. I still manage to compensate that by experience, but it is getting more and more difficult. It happens more and more often that one or even more of them beat me on the same competition. The last sprint round on CodeIT was a disaster for me. I didn’t manage to solve not one task in given time. My ages are getting me. Luckily, I have no problem with the fact that my students are beating me.

What advice would you give to future participants in CodeIT?

The first piece of advice is to be persistent and patient. I have recently tickled the CodeIT officials to, besides presentation of the Great Guru, organize one of the little Guru, i.e. me, where I would, at least to younger participants, convey a few very useful pieces of advice when solving marathon tasks. If they get lucky and that really happens, in future their results in marathon tasks will certainly be better.

Besides this, play computer games less. That is a waste of time and you have no use from it, but a current satisfaction. Successfully finished combat with the solving of a programming problem can give you a similar feeling, with the difference that this will definitely help you in your future profession.

“To harness the incredible potential of generative AI, enterprises need adaptable, scalable hybrid infrastructure in their local markets to bring AI supercomputing to their data. Our new service provides customers a fast and cost-effective way to adopt advanced AI infrastructure that’s operated and managed by experts globally”, said Charles Meyers, president and CEO of Equinix.

The service is available now and includes NVIDIA DGX systems, NVIDIA networking and the NVIDIA AI Enterprise software platform. Equinix installs and operates each customer’s privately owned NVIDIA infrastructure and can deploy services on their behalf in key International Business Exchange™ (IBX) data centers globally.

“Generative AI is transforming every industry. Now, enterprises can own NVIDIA AI supercomputing and software, paired with the operational efficiency of Equinix management, in hundreds of data centers worldwide”, said Jensen Huang, founder and CEO of NVIDIA.

Scalable Service to Fuel Innovation Across Industries

Through the service, enterprises can scale their infrastructure operations to achieve the level of AI performance needed to develop and run massive models.

Early access companies using the service include leaders in biopharma, financial services, software, automotive and retail, which are building AI Centers of Excellence to provide a strategic foundation for a broad range of rapidly developing LLM use cases.

These include accelerating time to market for new medications, developing AI copilots for customer service agents and building virtual productivity assistants.

Easy Access to Privately Managed NVIDIA AI Supercomputing

Equinix’s fully managed NVIDIA AI supercomputing service enables customers to operate their AI infrastructure in close proximity to their data.

The service offers high-speed private network access to global network service providers, enabling quick generative AI information retrieval across corporate wide area networks. In addition, it provides private, high-bandwidth interconnections to cloud services and enterprise service providers to facilitate AI workloads while meeting data security and compliance requirements.

Using the service, customers can easily access their NVIDIA AI Enterprise software to streamline the development and deployment of production-grade AI applications, including generative AI. NVIDIA AI Enterprise includes pretrained models, optimized frameworks and accelerated data science software libraries—such as the NVIDIA NeMo™ framework for building LLMs, NVIDIA RAPIDS™ for data science, NVIDIA Clara for healthcare and NVIDIA TensorRT™–LLM for performance optimization of large language models.

Enterprise-Level Support

The comprehensive solution also features enterprise-grade support and security. This includes Equinix’s IBX data center professionals to help customers rapidly build and deploy their custom AI models, as well as access to NVIDIA AI experts.

The fully managed private cloud service is available today.

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With the acquisition, Harness aims to expand its capabilities in this area to improve developer performance as well as for greater productivity.

“We are extremely excited as this will further enable Harness to provide the best-in-class advanced software delivery platform in the industry. This acquisition is a testament to our commitment to the developer community and to simplifying and improving the developer experience,” said Harness CEO, Jyoti Bansal.

Armory’s CD platform is built on the open source Spinnaker project, a multi-cloud continuous delivery platform that can be used for high-speed deployment.

“Harness has a great reputation for providing world-class support to its customers, and I am confident in their ability to support us during this transition. I look forward to developing a potential partnership with the Harness team”, said Wei Li, Member of Technical Staff, Pure Storage.

Armory customers will experience a seamless transition as key Armory engineering and customer support roles are joining Harness to continue supporting existing implementations. The Harness team has assured the Armory install base that maintaining business continuity is of the utmost importance, and has already begun partnering with Armory’s customers.

Emphasizing the ROI in the Player Experience
The Return on Investment (ROI) stands out as a crucial metric underscoring the significance of the PX. Research indicates that each $1 allocated to enhancing the player experience can result in a $3 return. This underscores the considerable financial benefits that gaming companies can unlock by prioritizing the delivery of outstanding player experiences.

Beyond Financial Advantages
The impact of investing in player experiences within the gaming industry extends beyond mere monetary gains. Through seamless API integration with LLMs such as LLaMa, gaming companies can afford players convenient access to vital features like in-game assistance, tips, and enriched virtual environments. This not only heightens player satisfaction but also reinforces player loyalty and engagement.

Favorable Effects of AI-Powered Assistance:
Harnessing AI-powered assistance for player experience optimization yields further positive outcomes. It simplifies player interactions, leading to diminished operational costs and heightened efficiency. Through the automation of routine tasks and the provision of precise and timely information, gaming providers can redirect resources toward addressing more intricate and strategic facets of game development.

Proving value in a competitive environment:
In the swiftly changing landscape of the gaming industry, showcasing the significance of PX and its correlated ROI is crucial. Embracing cutting-edge AI technologies, such as the DeepInfra API models, enables gaming companies to create smooth and personalized gaming experiences for their players. This leads to increased satisfaction, enhanced engagement, and, ultimately, greater success in the gaming industry.

Elevating the player experience isn’t just a smart business choice; it’s a strategic step towards cultivating lasting player relationships and maintaining a leading position in the competitive gaming industry.

Despite the trend of layoffs by major tech companies, projections show that the tech market will recover faster than we even expect. Technology is constantly evolving, and computer professionals and those with a technical mindset are driving this revolution. The skills we acquire in computer science can lead to high-paying jobs in a variety of fields, such as software development, data analysis and artificial intelligence.

In this post, we will look at how opting for a career in computer science gives a professional a chance of a good and secure future with a high-paying job and a successful career, according to Dev Internships.

How To Get Rich From Computer Science

1. Work At A Large Tech Company
According to data from Glassdoor, the average base salary for a software developer at Google is around $120,000 per year, while the average base salary for a software developer at Facebook is around $130,000 per year. However, senior developers and team managers can earn a lot more.

Additionally, as a developer at one of these companies, you’ll receive bonuses and stock options as part of your compensation package which can greatly appreciate as the company grows in value. Considering the high salary, large bonuses, and stock options, you can quickly earn enough to become rich if you keep your living expenses low and manage your money well.

2. Work At A Start-Up
On the other end of the spectrum, working at a budding tech company that has potential can also make you rich. In fact, if you end up at the right company at the right time and stick it out, this can be a much better option than working at a large tech company. Imagine working at Facebook when it was small and helping it grow until it went public.

The main reason why this can be a better option (why it can make you even more money) than working at an established company is that the stock you would receive as compensation has more growth potential.

However, there is also more risk with this option if you take a good portion of your compensation from stock options. If the company doesn’t grow into the next unicorn and perhaps even fizzles out, then your stock would become worthless.

3. Grow A Large Tech YouTube Channel
One of my favorite YouTube channels is Tech With Tim. He recently reached over 1,000,000 subscribers on his channel which is amazing. However, when he had just under 400,000 subscribers, he showed how much money his channel made.

At that point, his channel made more than $7,000 per month in ad revenue alone. Tim admitted that this wasn’t even the majority of the money that he earned from his channel. He made most of his YouTube income from affiliate sales and sponsored videos. Now that his channel has over 1,000,000 subscribers, I would guess he earns more than $50,000 per month.

Additionally, Tim has participated in and started other businesses that he is able to jump-start simply by mentioning them to his large audience. If you want to start your own YouTube channel, there are a few ways to potentially monetize it:

• Advertising revenue: As your channel grows in popularity, you can apply to join the YouTube Partner Program, which allows you to monetize your videos through ads.
• Sponsorships: As your channel gains traction, you may be able to secure sponsorships or brand deals to promote products or services related to technology.
• Affiliate marketing: You can also earn money by including affiliate links in your video descriptions, which allow you to earn a commission on any sales made through those links.
• Creating and selling your own products: As your channel grows, you can leverage your audience to sell your own products or services, such as an online course, e-book, or merchandise.

4. Create Your Own Business
As a Computer Science graduate, this is my dream. And the best part is that it’s totally possible to get rich by creating your own tech company. It’s happening now more than ever. Especially now that A.I. has become ubiquitous, it’s not difficult to leverage the web and A.I. to start a business and become rich.

Here are a few examples of AI-based companies that you could potentially create:

• A healthcare AI company that utilizes machine learning algorithms to improve medical imaging and diagnostic accuracy.
• A retail AI company that uses natural language processing and computer vision to improve the online shopping experience.
• A financial AI company that uses predictive analytics to help businesses and individuals make better investment decisions.
• A transportation AI company that uses real-time data and machine learning to optimize delivery routes and reduce fuel consumption.
• A manufacturing AI company that uses machine learning to improve quality control and predict maintenance needs for manufacturing equipment.
• An HR AI company that uses natural language processing and machine learning to improve the recruitment and performance evaluation processes.
• A security AI company that uses computer vision and machine learning to improve surveillance and detect potential security threats.

These are just a few examples, but there are many other industries and applications that AI can be used for. It’s important to research and identify the area that you have more knowledge or interest in and that you see a potential opportunity to solve a problem or improve a process.

5. Invest In Tech
The last way to get rich from Computer Science is to be an investor. Sometimes, it takes money to make money. And if you have money, tech is a great place to put it if you want it to grow. Granted, the tech sector is always shifting so you have to stay on top of trends and current news or risk your money going the way of MySpace.

One way to invest in the tech sector is to buy stocks in technology companies that you believe will perform well in the future. You can do this by opening a brokerage account and buying individual stocks, or by investing in technology-focused exchange-traded funds (ETFs) or mutual funds.

Another option is to invest in venture capital funds that focus on technology startups, which can offer the potential for high returns but also come with a higher level of risk. It’s important to do your own research and consult a financial advisor before making any investment decisions.

In the tech business world, the secret to success lies in employee satisfaction. Recent studies highlight the key role of employee happiness, showing that it has a significant impact on motivation, productivity and innovation. The extra effort that happy employees put in is not an obligation, but a genuine desire to contribute even more to the company they work for. Remarkably, studies show that employees who are happy and satisfied in their jobs are 48.4% more likely to stay with the same company and work for its success, giving their all.

On the other hand, the consequences of unhappy and dissatisfied employees are a serious problem for businesses. Employee dissatisfaction leads to annual financial losses of a staggering $300 billion, according to a study, which is attributed to increased sick leave, absenteeism and an increase in workplace errors.

In a fast-paced industry like tech, a pleasant work atmosphere is key to the well-being of a company’s employees and the sense of comfort they feel despite being away from home. And when an employee feels comfortable and “in place,” they are productive, motivated and full of interesting ideas and a desire to work.

Today we will introduce you to the top 5 ideas on how to create a more pleasant working atmosphere in your tech office according to Hiveage.

How to Create a More Pleasant Working Atmosphere in TECH Office

Bring in natural lighting to the work environment
Not only does natural lighting look better, but there is a strong connection between natural light in the workplace and employees’ quality of sleep and energy. Neurology researchers at Northwestern University found that people who work in offices with windows receive 173 percent more white light (i.e. light from the sun) during work hours and sleep an extra 46 minutes every night. Workers were better rested and therefore in a better frame of mind.

Create a clean and comfortable office space
It doesn’t take a psychologist to tell you that when you are in an area that is attractive, comfortable, and pleasant, you feel better. This is true of both the home and the work environment, so be sure to clear away clutter and broken equipment, and mend flickering light bulbs and temperamental air conditioning or heating units. And though it may not seem like a big deal, invest in new, ergonomic furniture, plants, updated equipment, and quality coffee and snacks. Your staff will not only appreciate that their well-being is important to you, but they’ll be energetically affected by the space in a positive way.

Provide quiet rooms for employees
Open office layouts are a necessity in many cases, but you should consider providing a few areas where employees can retreat if they need quiet or solitude to concentrate on a difficult project. It can cut down on the stress and interruptions, which improves mood and productivity. You might also think about providing nap rooms, for which Google (among others) is famous. Studies show that a 20 or 30 minute power nap is better than a cup of coffee to boost energy for those people who regularly work long hours, engage in intensive, complicated work, or travel to out-of-town bureaus.

Have an open-door policy for team members
Employees report higher job satisfaction and are more likely to stay at a job where they feel listened to and appreciated. One way to do this is to ensure transparency between managers and workers because conflicts often surface when employees feel left out of the loop or like they are merely indentured laborers. Make it known that you are always available for questions, comments, and concerns. And “open door” should be taken literally—keeping the door open encourages friendly communication.

Equip the office with recreational areas for employees
If you can, make room for outdoor hoops or an indoor ping pong table. Team members will enjoy having a place to get a little exercise or to blow off some steam between tasks. Plus, friendly games with others can lead to better rapport and team cohesion.

“Together, Lenovo and NVIDIA are driving a new era of Hybrid AI for businesses, designing the next generation of technology that delivers an AI-powered future now and unlocks the power of their data anywhere it is created. Lenovo’s expanded engineering and time to market partnership with NVIDIA simplifies the path to generative AI for all and helps customers anywhere rapidly use cutting-edge AI to transform their business”, said Kirk Skaugen, President of Lenovo Infrastructure Solutions Group.

The offerings were described by Lenovo Chairman and CEO Yuanqing Yang and NVIDIA founder and CEO Jensen Huang at the annual global Lenovo Tech World keynote held in Austin, Texas, where they discussed businesses’ need for end-to-end solutions that bring together accelerated systems, AI software and expert services to quickly build and run custom AI models using their own data.

“With generative AI driving the greatest technology transformation of our time, enterprises are seeking solutions that give them the flexibility to develop and deploy workloads across their workstations, data centers and clouds. NVIDIA and Lenovo are providing a comprehensive portfolio of hybrid AI systems that businesses can rely on to power generative AI from virtually anywhere”, said Bob Pette, Vice President of Enterprise Platforms at NVIDIA.

Supported by the new Lenovo AI Professional Services Practice, the solutions enable enterprises to use a hybrid cloud approach – building their custom AI models using NVIDIA AI Foundations cloud service and then running them with on-prem Lenovo systems powered by NVIDIA’s latest hardware and software designed for generative AI.

According to Bureau of Labor Statistics projections, job growth in the information technology sector is expected to be 15% by 2031. These statistics highlight the growing attractiveness of this field as more people choose to pursue a career in technology.

An enticing aspect of technology jobs is their geographic expanse. Career opportunities exist in both large corporations and small businesses. This accessibility ensures that the appeal of technology jobs is not limited to certain regions, but extends worldwide. Today we’ll introduce you to the top tech jobs in the US according to Best Colleges.

The 10 Highest-Paid Jobs in Technology

1. DevOps Engineer
A DevOps engineer is often a bit of a generalist. They are responsible for working with code, infrastructure management, DevOps toolchains, and system administration.

Their day-to-day work will depend on the size and type of company, but DevOps engineers often review code, write unit tests, and help create bridges of communication between various teams. DevOps engineers usually have around five years of experience in operations or development roles before they move to DevOps.

Average salary: $149,410

2. Product Manager
Product managers oversee every step of the project and ensure it is consistently in line with customers’ needs. This role requires a mix of skills, including UX design, tech, and business.

Their roles often include research, analysis, creating designs, testing prototypes, and finding bugs. They will often create a roadmap for the product and follow up with stakeholders, customers, and market research to help guide and improve the product.

Average salary: $136,310

3. Computer and Information Research Scientist
Computer and Information Research Scientists work to improve both hardware and software systems. It is one of the more difficult jobs, but also one of the highest paid. These scientists often work with complex algorithms and programming languages and design computer architecture.

Overall, their goal is to develop innovative ways to use both existing and potential future technologies. They are particularly prevalent in medical and science fields.

Median salary: $131,490

4. Software Developer
Software developers are responsible for creating everything from your favorite game on your phone to system-level software used by hospitals and the military. They need to know how to code, most often in Java, SQL, and JavaScript, as well as have valuable soft skills, such as problem-solving abilities. There is a lot of variability in this role, given the range of types of software in existence. This is also a common entry point for people looking to build up their experience or portfolio.

Median salary: $120,730

5. Computer Network Architect
Computer network architects design and build data communication networks. This can range from small connections within different branches of the same company all of the way up to large-scale cloud infrastructures. They need a strong working knowledge of both hardware and software. A computer network architect is typically responsible for increasing efficiency, recommending and implementing upgrades, and staying up to date with developing technologies. With those goals in mind, they create and present plans to management, upgrade hardware, and work with information and network security.

Median salary: $120,520

6. Artificial Intelligence Architect
Artificial intelligence (AI) architects work closely with data scientists, engineers, and developers to design, build, and create new AIs. The role is often a mix of technical and creative, dreaming up some of the wildest technologies of the future while also being aware of current technological limitations.

There is also a significant ethical component to AI as we try to find the line between what we can and should create.

Average salary: $117,710

7. Information Security Analyst
Information and network security is expected to be one of the most critical areas in tech to develop evermore invasive technologies. The world is full of examples of hacks, everything from large-scale cybersecurity attacks like the Colonial Pipeline ransomware attack in 2021 to individual privacy issues, like when hackers figure out how to access in-home security cameras.
Keeping all types of products and software safe from security breaches will be one of the most significant projects in the upcoming years.

Median salary: $102,600

8. Mobile App Developer
Mobile app developers design, develop, and implement all different types of mobile applications. Often they will specialize in working with either Android, iOS, or Windows.

App developers are often creative, coming up with new games or tools, but also very technical and practical. App developers also need an in-depth knowledge of HTML, JavaScript, and CSS.

Average salary: $98,255

9. Data Scientist
Data is the new digital currency, and data scientists are the ones helping companies, NGOs, and governments turn all of that raw data into something that can tell a story.

Data scientists source, clean, manage, and analyze immense amounts of data looking for actionable insights. They also create algorithms and data models to forecast outcomes. This is a math and statistics-heavy role, with a significant number of data scientists holding at least a master’s degree, if not a Ph.D.

Median salary: $96,710

10. Full-Stack Web Developer
Being a full-stack web developer means a person can develop both server and client software, making them the multitool of the technology world.

Not only do full-stack developers need a strong knowledge of front-end languages, but they also need to be able to write API code and server code for the back end. Because of this, full-stack developers often need to be familiar with a decently long list of programming languages.

Аverage salary: $89,700