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Introduction
Are you looking for a Job at Samsung but don't know how to apply? If yes, Coding Ninjas is here for you. Today we will be looking at different Job opportunities at Samsung with a Detailed Description of the Jobs.
This article is mainly focused on the position of Job opportunities at Samsung. We will discuss the process, the skill sets, and the roadmap that will help you grab this dream job.
We have also included some resources that will help you in your journey.
So, let us get started:
About Samsung
Since its founding, Samsung Engineering has expanded, becoming a well-known brand in the EPC industry from a small domestic engineering firm. The business portfolio of Samsung Engineering now includes a wide range of engineering services, including power plants, water, and waste treatment facilities, upstream and downstream hydrocarbon facilities, and industrial production facilities.
This was made possible by Samsung Engineering's ability to recruit people from throughout the globe.
Samsung Engineering can offer considerable, dependable value to our clients by fusing creative, cost-effective engineering with adaptable, effective management. Samsung Engineering is well-positioned to serve both established and developing global sectors.
Job Opportunities at Samsung
Let’s see some of the Job Profiles available at Samsung that you can apply for:
Data Architect
Description
Data Architect is an expert who develops the organizational data strategy, together with standards for data quality, data movement within the company, and data security.
Responsibilities
Now, let’s move on to the roles and responsibilities of a Data Architect:
Define the technical and business requirements for data architecture.
Design architecture that uses data from various sources.
Design and maintain data storage solutions.
Define a reliable and scalable data pipeline.
Optimize existing data architectures and recommend efficiencies in data storage, retrieval, and processing.
Create data warehouse or pipeline designs based on data sources and the business needs of the organization.
Analyze the tradeoff of Machine learning techniques in commercial deployments in terms of computing and memory.
Incorporate Security & Privacy Technologies in Data pipelines as required by Data and Privacy Regulations.
Design and transform data into other formats as per needs.
Eligibility Criteria
Bachelor’s or Master’s degree (Computer Science or Related) with 8+ years of relevant experience.
Hands-on Python or Scala Programming, Large scale Data Processing using Spark, Working on AWS Infrastructure.
8+ years of experience in defining and implementing data strategies.
5+ years of experience integrating data in batch and near real-time.
5+ years of experience with big data and a deep understanding of associated. Technologies such as Redshift, Casandra, Hadoop, Spark, HBase, Hive, Solr, Flink, and Kafka.
Experience with Data Mining, Machine Learning, and Predictive Analytics.
Experienced Data Architect or Solution Architect with considerable exposure to data-led environments.
Specific experience defining Data Architecture, including future/target architectures.
Knowledge of Data Analytics offerings from AWS, GCP, or Azure.
Establishing and embedding data management and governance processes.
Experience working within agile-led environments.
To know more about this role in detail, check out this article:
You can apply for this job via the Samsung Career portal using this link.
Product Manager
Description
The Product Manager at Samsung India is expected to study the market transformation, recognize new opportunities and initiate new strategies, and study performance data to recognize growth opportunities for the company.
Manage the month-over-month promotions and discounts for assigned products to drive sales and market share objectives, and to ensure that market forecasts are achieved. Assesses the impact of missed forecast on inventory and manufacturing and takes corrective actions.
Formulate and direct the go-to-market strategy in conjunction with cross-functional partners in Demand Generation and Sales.
Overall product strategy and management of the product life cycle.
Lead new product innovation roadmaps in partnership with global HQ.
Product introductions and model launches in conjunction with the Sales team, Demand Generation team and other cross-functional partners.
Category expert in terms of industry and technology trends, and competitive benchmarking.
Monitors forecast-to-actuals, and works with sales, supply chain, and customer stakeholders to optimize inventory levels.
Develop customer-specific strategies, programs and pricing. Ongoing customer engagement and presentations .
Works with Training team to create training material for sales associates.
Ensure optimal ROIs for marketing activities.
Skill Set and Experience
Skills Required for the post of Product Manager at Samsung India:
The Product Manager at Samsung India should have the tremendous analytical expertise to solve complex business problems. Past experience in handling data-based and highly analytical issues.
The Product Manager at Samsung India should have the ability to collaborate with other teams to give a better result.
The Product Manager at Samsung India should have the capability to understand and talk about technology and should also be dedicated to developing and understanding the implementation of various technologies.
The Product Manager at Samsung India should have good entrepreneurial abilities for growth and work in a dynamic work environment.
Experience Required for the post of Product Manager at Samsung India:
For the post of Product Manager at Samsung India preferred experience required is 5-12 years in the product development field.
To know more about this role in detail, check out this article:
You can apply for this job via the Samsung Career portal using this link.
IoT Connectivity Engineer
Description
The primary task of an IoT connectivity engineer is to create and develop the devices, sensors, and software which allow the device to connect seamlessly with other systems. They research, build, test, and document IoT solutions with integrated systems and devices.
Roles and Responsibilities
1. Commercialization support & IoT Device solution enhancements for Samsung IoT devices
2. Provide impeccable solutions on schedule for customer VoC.
3. Performance optimization for End2End latency, RAM/ROM use, and onboarding time
4. Propose and prototype new features for solutions involving IoT devices.
Skill Set
Thorough understanding of operating systems like Android, Linux, Tizen, Tizen RT, and FreeRTOS, as well as connectivity protocols like BLE and Wi-Fi.
Proficiency in communication standards like OCF, OneM2M, Thread, and Matter, as well as protocols like MQTT, CoAP, HTTP, and DNS-SD (CHIP).
Excellent use of programming languages like C, C++, and Python to develop solutions for systems with limited resources.
Strong debugging skills.
Knowledge of the tools Github, SVACE, PROTEX, and VALGRIND.
You can apply for this job via the Samsung Career portal using this link
DevOps Engineer
Description
DevOps engineers must be well-versed in standard system design, provisioning, and administration, as well as in the traditional developer toolkit and techniques like using source control, performing code reviews, creating unit tests, and conversing with agile principles.
Be responsible for supporting cloud operations to enhance, improve and maintain capabilities across the global technical landscape.
Work with stakeholders across the business to balance and accommodate competing objectives.
Directly engage with internal and external customers to evolve, understand and improve their resiliency.
Use the latest industry standard tools and best practices to meet the evolving needs of our internal engineers, developers and external customers.
Manage cloud provider infrastructure, system deployments, and product release operations.
Research, design, and build tools and systems to improve the time to market of our products.
Work on the continuing reduction of human intervention in operations tasks and process automation.
Participate in an on-call rotation, using a follow-the-sun model.
Eligibility Criteria
A Bachelor's degree is in computer science or any other closely related field with a software development emphasis. An engaging short course, on the other hand, could give you valuable, applicable skills.
A graduate certificate in computer science, a master's degree in engineering (software), or a certification from the PMI Agile Certified Practitioner are just a few examples of postgraduate programs that might help you advance your knowledge and skills (ACP).
Work in positions that expose you to scripting and programming languages, cloud technologies, and agile methods to gain industry experience. Having prior leadership experience may be advantageous.
Skill set and Experience
Must have an experience in one or more of the following subject areas:
Virtualization and virtualization management (Openstack, etc.)
Cloud storage systems (block and object)
Networking and SDN
Containerization (Docker, Kubernetes, etc.)
Security and AAA in a private cloud
Data pipelines as well as analytics, log collection, and analysis
Must have an extensive experience and excellent expertise in the development of Linux-based, that are high-performance, and highly-available systems.
Must have an excellent communication and written skills and be capable of delivering and writing both technical papers and presentations.
Practical experience in contributing to an open-source project.
Practical designs, development, and deployment experience with evolving existing designs toward large-scale deployments.
Working knowledge of the commonly used tools and frameworks utilized by the open source community.
B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics, or related field is desired.
Practical experience with a programming language such as Go is desired.
Practical experience building systems on a public cloud infrastructure (AWS, GCE, etc.) is desired.
Practical experience building public cloud infrastructure is highly desired.
To know more about this role in detail, check out this article
You can apply for this job via the Samsung Career portal using this link.
Android Developer
Description
For devices that are working on the Android operating system, an Android developer is in charge of developing applications. An Android developer must closely analyze the application's compatibility with various versions of Android and device kinds due to the fragmentation of the ecosystem. Additionally, they must be well-versed in the patterns and procedures that surround such a platform.
Roles and Responsibilities
Convert wireframes and drawings into high-quality code
Create, develop, and maintain dependable, high-performance Java code.
Ensure the program has the most excellent possible speed, quality, and responsiveness. Find and fix any bottlenecks and issues.
Maintain code organization, quality, and automation
Eligibility Criteria
You just need to have a Bachelor's degree to be eligible.
Skill set and Experience
Strong hands-on experience in developing Android phone applications.
Required API experience in intermediate to Advanced UI, networking, and multimedia.
Experience or exposure to a wide variety of Android APIs: e.g., location services, GCM, animations, gestures, in-app billing, etc.
Extensive knowledge of Android’s resource system and experience developing for multiple screens and form factors
Java Development skills
Familiar with web services and REST APIs
Have Android applications in production in the app store
Strong scripting skills
To know more about this role in detail, check out this article
You can apply for this job via the Samsung Career portal using this link.
Deep Learning Engineer
Description
Deep learning engineers carry out data engineering, modeling, and deployment tasks. This includes:
Data engineering subtasks such as defining data requirements, collecting, labeling, inspecting, cleaning, augmenting, and moving data.
Modeling subtasks such as training deep learning models, defining evaluation metrics, searching hyperparameters, and reading research papers.
Deployment subtasks such as converting prototyped code into production code, setting up a cloud environment to deploy the model, or improving response times and saving bandwidth.
Roles and Responsibilities
Deep learning engineers carry out data engineering, modeling, and deployment tasks as shown in his includes:
Data engineering subtasks: Such as defining data requirements, collecting, labeling, inspecting, cleaning, augmenting, and moving data.
Modeling subtasks: Such as training deep learning models, defining evaluation metrics, searching hyperparameters, and reading research papers.
Deployment subtasks: Such as converting prototyped code into production code, setting up a cloud environment to deploy the model, or improving response times and saving bandwidth.
Eligibility Criteria and Skillset
A programming language suitable for Deep Learning (DL)
Commonly preferred languages for DL are Python and R (personally, I use python).
Mathematics is required for Machine Learning (ML).
If you are a software development engineer, you can easily write the solution into a program. But when we talk about Machine Learning, you need to understand of Mathematical and Statistical concepts, which will help you analyze any algorithm and tune it according to your need.
Fundamentals of Computer Science and Data Structures (DS).
Knowledge of Machine Learning (ML) /Deep Learning (DL) algorithms is just not enough; you will also require an understanding of Software Engineering (SE) skills like Data Structures (DS), Software Development Life Cycle (SDLC), Github, and Algorithms (Sorting, Searching, and Optimisation).
Yes, it is easy to understand programming memes but hard to understand DSA.
Coding Ninjas have a fully well-structured course. Go and explore after this; lots of stuff are waiting for you.
Knowledge of platforms of Cloud Computing, e.g., AWS, Azure, and GCP.
As we are growing in technology, the data is increasing immensely as well; you can't manage that much data on your server that is locally present, so one should move to the cloud. These platforms provide outstanding services, from data preparation to model development.
Front End/User Interface Technology and Deployment Services.
When you have your Machine Learning solutions ready, you need to represent them to others in the form of Some Charts or Visualisations because the person to whom you are explaining might not have the knowledge of these algorithms and what he would want is the working solution for his problem.
So what can enhance this development process is the knowledge of any UI technology like Django, Flask, and, if when required, JavaScript; your Machine Learning code would be the backend while you will create a frontend for the same.
To know more about this role in detail, check out this article
You can apply for this job via the Samsung Career portal using this link.
Data Science and Analytics Engineer
Description
Logic is the data scientist on the more sophisticated side of data analysis and business. They frequently create machine learning (ML) models and prepare data. Helping companies gain better insights and make predictions based on data makes up a significant portion of their work.
An analytics engineer is a member of the modern data team who is in charge of modeling data to produce accurate datasets that various company users can use. Data transformation, testing, and documentation are all part of their job.
Roles and Responsibilities
[Data Collecting and managing] Creating scripts or modules for gathering, cleaning, and storing data in a database or file system. Establishing testing and validation set for the final metric evaluation.
[Data pre-processing ] Reflect the characteristics of the gathered data accurately, and create a pre-processing algorithm that reduces needless complexity.
[Data modeling] Investigate and create a suitable statistical model, deep learning algorithm, or machine learning model to address business challenges.
[Metric Reporting] Defining a metric that is related to business results. Determining and reporting the Data'sData's optimized metric results.
[Root cause analysis] Determining the cause of why specific data did not respond well to certain algorithms, analytically or intuitively. What else is needed to raise the metric above the data?
[Coding language/framework experience] Any deep learning or machine learning framework, including Keras, PyTorch, Scikit, etc. Python, R Programming Language, Matlab, and other coding languages
Eligibility Criteria
A B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field is required.
M.Sc. / Ph.D. degree in the related field is desirable.
Skill Set
SW application development experience: [SW Application Integration & Deployment] Knowledge of creating and deploying AI/ML-based applications in the business domain. Knowing any application development language, including Python (Django, Plotly), Java, C#, C++, etc.
To know more about this role in detail, check out this article
You can apply for this job via the Samsung Career portal using this link.
Frequently Asked Questions
Is it tough to get a job at Samsung?
Getting into Samsung is almost impossible if you don't have university-level education and technical skills. Samsung is an excellent workplace because the company is dynamically developing. It is also a good springboard for motivated employees.
What are the qualifications required to get a job at Samsung?
BE/ BTech/ ME/ MS/ MTech students are eligible to apply. ECE/ CS/ IT/ EEE/ IS/ E&I/ Instrumentation/ Telecom stream students can apply. No backlog at the time of applying. The candidate should be from one of the top engineering colleges.
How much do Samsung employees make?
The average estimated annual salary, including base salary and bonus, at Samsung is $141,353, or $67 per hour, while the estimation of the median salary is $137,781, or $66 per hour. At Samsung, the highest paid job is a Director of Marketing at $280,800 annually, and the lowest is an Accountant at $49,600 annually.
Is working in Samsung good?
Work culture is rated 3.84 at Samsung by 7.8k employees. While job security is rated 3.89 and work-life balance is rated 3.82 at Samsung.
What do you know about Samsung company?
Samsung is a company (South Korea) that is one of the world's largest producers of electronic devices. Samsung specializes in producing various consumer and industry electronics, including appliances, digital media devices, semiconductors, memory chips, and integrated systems.
Conclusion
In this article, we have thoroughly discussed the Job opportunities at Samsung. Now, its your time to do the hard work and get placed in your dream company.
To know more about the Jobs in Samsung, the way to get into Samsung, or different profiles, you can check out these articles: