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Internship R Programming Language Jobs in Austin, TX

ZT Systems

Staff Industrial Engineer

Georgetown, TX · On-site

$65K - $87K/yr

Fluency in mathematical computing with at least one programming language (e.g. Python, R, Java), and the ability to learn technical methods and tools independently * Fluency in data visualization ...

CelLink Corp

Junior Design Engineer

Georgetown, TX · On-site

... R development and validation activities. * Contribute to DFMEA, APQP documentation, and release ... Exposure through school projects, internships, Formula SAE, robotics, or industry experience is ...

ZT Systems

Staff Industrial Engineer

Georgetown, TX · On-site

$65K - $87K/yr

Fluency in mathematical computing with at least one programming language (e.g. Python, R, Java), and the ability to learn technical methods and tools independently * Fluency in data visualization ...

Amazon

Sr. Embedded Engineer, Amazon Leo

Austin, TX · On-site

$122K - $161K/yr

BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 8+ years of ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

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How much do internship r programming language jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for internship r programming language in Austin, TX is $17.15, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
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Internship R Programming Language jobs near you
Senior ASIC Floorplan Design Engineer

Senior ASIC Floorplan Design Engineer

Nvidia

Austin, TX

Full-time

Re-posted 17 days ago

Job description

We are now looking for a Senior ASIC Floorplan Design Engineer!

NVIDIA is seeking a talented ASIC Floorplan Engineer to design and implement the world's leading SoC's and GPU's. This position offers you a unique opportunity to craft and to influence the design and development of the next generation GPU and SoC, allowing you to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you will be doing:

  • Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development.

  • Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities

  • Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions.

  • You will build tools and improve existing infrastructure to optimize chip area and speed of execution.

What we need to see:

  • Masters Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience

  • 12+ years of relevant work experience

  • A deep hardware engineering background with a concentration in VLSI and/or Computer Architecture.

  • Experience in Verilog, System Verilog or similar HVL

  • Experience with CAD and physical design methodologies (flow and tool development), chip floorplan, power/clock distribution, packaging, P&R and timing closure.

  • Strong communication and interpersonal skills and ability & desire to work as a great teammate should be displayed in your interview.

  • Python, Perl and C/C++ programming language experience

Ways to stand out from the crowd:

  • Experience in driving development of large scale ASIC floorplan is a huge plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, Autonomous Driving, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power efficient chips in their class? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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