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Internship Tesla Computer Science Jobs in Pennsylvania

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Internship Tesla Computer Science information

What is the difference between Internship Tesla Computer Science vs Software Engineering Intern?

AspectInternship Tesla Computer ScienceSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related degree, coding skillsEnrolled in Software Engineering, Computer Science, or related degree, coding skills
Work EnvironmentResearch labs, development teams, collaborative projects at TeslaDevelopment teams, coding, testing, and debugging software at Tesla
Employer & Industry UsageTesla's tech and automotive industryTesla's software development teams within automotive and tech sectors
Search & Comparison IntentYes, often compared for tech internships at TeslaYes, similar search for software-focused internships at Tesla

Internship Tesla Computer Science focuses on foundational computer science principles and research, while Software Engineering Internships emphasize practical software development, coding, and debugging. Both roles are valuable for gaining experience at Tesla, but they differ in focus and daily tasks.

What job categories do people searching Internship Tesla Computer Science jobs in Pennsylvania look for?

The top searched job categories for Internship Tesla Computer Science jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Internship Tesla Computer Science jobs?

Cities in Pennsylvania with the most Internship Tesla Computer Science job openings:

Quantitative Research Internship - PhD: Summer 2027

Susquehenna International Group

Bala Cynwyd, PA โ€ข On-site

Other

Posted 16 days ago


Job description

Quantitative Research Intern

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect:

  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

What we're looking for:

  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.