Home
/
Blog
/
Developer Insights
/
What does a computer scientist do at ISRO?

What does a computer scientist do at ISRO?

Author
Raghu Mohan
Calendar Icon
December 5, 2016
Timer Icon
5 min read
Share

Did you know that the Indian Space Research Organisation wants to “launch a single rocket carrying 83 satellites” in 2017? That would be a world record, you know. India has surely come long way from launching its first indigenous satellite, Aryabhata, in 1975. ISRO has made the country proud. To put a satellite in Mars' orbit at a cost—USD73 million—lesser than the budgets of many Hollywood movies is an amazing feat. That too, in its first attempt, in 2013. NASA's Maven Mars mission set the US space agency back a whopping USD671 million. I remember reading an article where they called our space agency “famously frugal.”

It's a big deal.

Perhaps, this is a post that’s a tad different from what we usually write at HackerEarth. Here’s why. Our audience at HackerEarth is predominantly software engineers who are mostly passionate about what they do. Given the cool things that ISRO is doing currently, it is only normal to be curious about what it takes to work for the organization. Like Dr. U R Rao, chairman of ISRO, said, "Achievements like the Mars Orbiter Mission would attract graduates to ISRO. You need passion to work in ISRO. That's why people who join the organization seldom leave it for another job.”

What does an ISRO software engineer deal with?

In a 2014 Reddit Ask Me Anything session by three ISRO scientists, one question that was asked was what the work is like at ISRO for a software engineer. (These scientists were back in 2015 to answer a slew of new questions.)

The answer goes like this, “The software scene in ISRO is more of an operations thing than research. We need and develop software to run our various systems and these systems are the focus. Apart from user/service software/applications developed at centres like Space Application Centre, we have an intensive network of centres/GROUND-stations and this network is managed by ISTRAC. We use both Linux- and Windows-based platforms and develop for both too. JAVA is the favoured language, but we use C, C++, C#, Python, Perl, etc. a lot too. Whatever gets the work done. At ISTRAC, computer networking is a high priority and in-demand task. Then, there is the requirement of building simulation software. This is done by all centres as per their requirements. Also, India's largest supercomputer is at Vikram Sarabhai Space Centre, meant for aerospace simulations.”

Are you discouraged? Don’t be. After all, how can a facility that launches rockets not have exciting software systems? Forget about the non-programming and administrative tasks, just focus on those moments where your valuable computing skills are integral to critical processes for a mission.

HackerEarth Challenge Banner

Who gets to go there?

As an exemplary organization requiring brilliant minds, ISRO has to be discerning about its engineering hires. ISRO's preferred discipline is aerospace engineering, but it doesn’t mean that good minds from any engineering stream don’t stand a chance. ISRO is not partial to elite technical institutions such as IIT or NIT. "We look for strength in fundamentals, wherever the person is from. It is essential to have people from different institutions," said Dr. V Adimurthy, Senior Advisor of Interplanetary Missions.

ISRO Centre Total Staff From IITs and NITs
Vikram Sarabhai Space Centre, Tvm 4,486 43
Space Applications Centre, Ahm 1,183 144
National Remote Sensing Centre, Hyd 864 2

(Source: Times of India)

Linux aficionados have a good chance of landing a job at ISRO. In the same Reddit AMA, one of the scientists said that there's a great affinity toward Linux at ISRO. “Linux is used very widely across all centres/missions/projects. Simulations, operations, servers, networks, analysis: Linux is used everywhere. It is a good OS for all scientific requirements and is developed actively by various scientific groups all over the world, so it never falls short.”

Although they would not answer specific questions about OS, they did say that on-board software for satellites is written in Ada. Who knows, those conversant with the programming language Ada, might have a good chance to work with ISRO too.

And this is what they had to say about a typical workday for an ISRO software engineer: “Not very different from any other programmer’s except for the fact that there is a slight lag in the adoption of new technologies. This is partly due to heritage inertia and partly due to the fact that function is preferred over form. If it ain’t broke… It also depends on the kind of work you get. Development is always exciting. So is stuff like implementing a new network end-to-end, which will push you to learn stuff way beyond what you’ve previously been comfortable with.” Well, nothing is perfect. But then, imagine having a hand in getting a perfect satellite out in space? Come on, lots of us have dreamed of becoming rocket scientists.

Are you “eligible”?

Interestingly, ISRO doesn't mention computer science as one of its preferred degrees. The space agency recruits students from the Indian Institute of Space Science and Technology (IIST). To get into ISRO the scientists said, “You have to be an Indian with a degree or diploma in Mechanical /Electronics/Electrical/Civil disciplines. Open positions include Scientists, Technicians, Technical Assistants, Admin Officers, Purchase Officers, etc. depending on eligibility. There will be an exam for each type of post followed by interview for selection. One can also get into ISRO by enrolling into IIST complete the course and get absorbed.”

Well, you don’t need a degree in computer science to work on their exciting projects. But you need passion and requisite skills for the role. It’s really about priorities and what you value most. Whatever the downside of the job, I would say working with amazing talent will teach you skills you might never find elsewhere. Sleepless days, working tirelessly during a launch—appeals to you?

What are the upsides and downsides of working at ISRO?

I shouldn’t even be writing this bit. Where’s your patriotism, guys?

No, seriously, when you get down to brass tacks, ISRO is no slacker. There might be those within ISRO who believe that there aren't as many perks and services in ISRO as compared to other government services. But on more holistic terms, the starting pay for engineers at ISRO is above industry standards. In its Bangalore facility, an entry-level Scientist/Engineer ‘SC’ gets between 7 and 9LPA, without deductions, per the 7th Pay Commission. Reading reviews suggest that culture can be a less bohemian or appreciative than you want with motivation and the money can be a little less as well. (Money is not everything. Tell yourself that; you will believe it soon enough.) But if you read reviews on Glassdoor, the wariness should disappear. Despite the perception people have about the cons of working in a government organization, on the whole, most insist that the environment and learning make it worthwhile.

Do you agree?

Share your thoughts in the Comments section.

Subscribe to The HackerEarth Blog

Get expert tips, hacks, and how-tos from the world of tech recruiting to stay on top of your hiring!

Author
Raghu Mohan
Calendar Icon
December 5, 2016
Timer Icon
5 min read
Share

Hire top tech talent with our recruitment platform

Access Free Demo
Related reads

Discover more articles

Gain insights to optimize your developer recruitment process.

Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing c

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
Top Products

Explore HackerEarth’s top products for Hiring & Innovation

Discover powerful tools designed to streamline hiring, assess talent efficiently, and run seamless hackathons. Explore HackerEarth’s top products that help businesses innovate and grow.
Frame
Hackathons
Engage global developers through innovation
Arrow
Frame 2
Assessments
AI-driven advanced coding assessments
Arrow
Frame 3
FaceCode
Real-time code editor for effective coding interviews
Arrow
Frame 4
L & D
Tailored learning paths for continuous assessments
Arrow
Get A Free Demo