Graduate Software Engineer - Real-Time Trading & AI

HireHi

United States

Remote

USD 120,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Performance-based bonus
25 vacation days in year one
Training opportunities
Relocation & visa sponsorship

Job summary

Optiver is seeking a Graduate Software Engineer to work on mission-critical systems in live financial markets. You will collaborate with traders, researchers and engineers to build fast, reliable solutions that respond in real time to changing market conditions.

Expect a highly technical, data-rich environment with training and global opportunities. You will design and implement scalable software, contribute tools for the trading stack and participate in the Global Academy to expand trading

Qualifications

  • Bachelor's/Master's/PhD in CS/CE with outstanding academics
  • Graduating Aug 2024–Aug 2027, max 3 years of work experience
  • Passionate about clean, well-architected systems and continuous improvement
  • Proficient in C++, Python or Java with strong understanding of architecture
  • Knowledge of algorithms, memory/concurrency models, CPU architecture and relational databases

Responsibilities

  • Build simple, well-architected solutions with traders, researchers and engineers
  • Use frontier agentic tooling and build agents, skills and workflows across the trading stack
  • Improve performance, reliability and maintainability as market and system requirements evolve
  • Contribute reusable tools for other engineers and teams
  • Participate in the Global Academy covering trading theory and Optiver's tech stack

Skills

C++
Python
Java
Algorithms
System design
Concurrency

Education

Bachelor's degree in CS/CE
Master's degree in CS/CE
PhD in CS/CE

Tools

Git
Linux
CI/CD

Job description

Optiver is seeking a Graduate Software Engineer to work on mission-critical systems in live financial markets. You will collaborate with traders, researchers and engineers to build fast, reliable solutions that respond in real time to changing market conditions.

Expect a highly technical, data-rich environment with training and global opportunities. You will design and implement scalable software, contribute tools for the trading stack and participate in the Global Academy to expand trading

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