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Full Time Computer Science Opt Jobs in Chicago, IL

Bachelor's degree in a related technical field (Computer Science, Software Engineering) * MBA or ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Coding and computer science are essential skills for students to learn and schools to teach. About ... Creative, positive, and solution-oriented mindset Location Full-time, in-office role in Chicago ...

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Full Time Computer Science Opt information

What are the key skills and qualifications needed to thrive as a Full-Time Computer Science professional, and why are they important?

To thrive as a Full-Time Computer Science professional, you need strong programming abilities, problem-solving skills, and a relevant degree such as a BS or MS in Computer Science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience with version control systems (e.g., Git) and possibly certifications like AWS Certified Developer, are commonly expected. Strong communication, teamwork, and adaptability help individuals excel and collaborate effectively in dynamic tech environments. These skills and qualifications are essential for developing efficient software solutions and contributing to innovative projects in the fast-evolving technology sector.

What are Full Time Computer Science OPT jobs?

Full Time Computer Science OPT jobs are positions offered to international students in the U.S. who have completed a degree in computer science and are authorized to work under the Optional Practical Training (OPT) program. These jobs allow students to gain practical experience in their field of study for up to 12 months (or up to 36 months for those eligible for the STEM OPT extension). Full time means working at least 20 hours per week in a paid or unpaid role related to computer science, such as software development, data analysis, or IT support.

What is the difference between Full Time Computer Science Opt vs Full Time Software Developer?

AspectFull Time Computer Science OptFull Time Software Developer
Required CredentialsF-1 visa status, OPT authorization, sometimes a degree in Computer ScienceTypically a degree in Computer Science or related field; no visa requirements
Work EnvironmentUsually in tech companies, startups, or corporate IT departmentsSoftware development teams, tech firms, startups, or corporate IT
Employer & Industry UsageUsed by international students during OPT period to gain work experienceHired as full-time employees in software development roles

Full Time Computer Science OPT is a temporary work authorization for international students in the US, allowing them to work in tech roles during their OPT period. Full Time Software Developer is a job title for a professional responsible for designing, coding, and testing software. While both roles involve working in tech, OPT is a visa status, whereas Software Developer is a job position.

What are some common challenges faced by Full Time Computer Science OPT employees in their first year, and how can they overcome them?

Full Time Computer Science OPT employees often encounter challenges such as adapting to a new work culture, managing complex technical projects, and understanding company-specific tools and workflows. Navigating visa regulations and maintaining clear communication with HR regarding OPT status can also be stressful. To overcome these challenges, it's important to seek mentorship, participate in onboarding and training sessions, and actively communicate with supervisors and colleagues. Building a professional network within the organization can also accelerate acclimation and success.
What are the most commonly searched types of Computer Science Opt jobs in Chicago, IL? The most popular types of Computer Science Opt jobs in Chicago, IL are:
What job categories do people searching Full Time Computer Science Opt jobs in Chicago, IL look for? The top searched job categories for Full Time Computer Science Opt jobs in Chicago, IL are:
Campus AI Research Engineer (Full-Time)

Campus AI Research Engineer (Full-Time)

Jump Trading

Chicago, IL โ€ข On-site

$300K/yr

Full-time

Posted 5 days ago


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
We are seeking world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, or pushing the boundaries of AI research from concept to production, you'll have the opportunity to work on impactful projects in a fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing AI/ML capabilities, we want to meet you.
What You'll Do:
  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate AI/ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:
This role covers a wide range of potential projects and skills. We don't expect everyone to have all of these, but for the applicable areas we are looking for deep technical expertise.
  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Proficiency in Python and/or C++
  • Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
  • Ability to thrive in a collaborative, team-oriented environment
  • Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
  • Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
  • Excellent written and verbal communication skills in English
  • Reliable and predictable availability

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role is $300,000 per year.