Design and develop low latency, high-performance trading systems. Optimize code and solutions for hardware efficiency, ensuring seamless application integration.
IMC is seeking a highly skilled C++ Software Engineer to join our Chicago team. As a Software Engineer, you will design and develop software solutions tailored to the hardware-specific needs of our global trading system with a focus on optimizing performance. Our dynamic, fast-paced tech environment enables collaboration and rapid feedback loops across global teams. You will be responsible for spotting new opportunities, solving problems and developing innovative technologies. Software development here is innovative, pragmatic and fun, even as complexity grows.
Your Core Responsibilities:
Your Skills and Experience:
#LI-DNP
Your Core Responsibilities:
- Design and build low latency, high-performance trading systems
- Optimize production code and other system components to achieve low-latency and high-throughput capabilities
- Write highly performant software solutions to control and interface with hardware components such as ASICs and FPGAS
- Work closely with hardware engineers and cross-functional teams to understand requirements and implement effective solutions
- Ensure a seamless integration of new applications and enhancements to the existing trading infrastructure
Your Skills and Experience:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field of study
- 2+ years of professional experience using modern C++ in a low-latency environment
- Experience with software development for hardware platforms
- Knowledge of trading systems and financial markets is a strong plus
- Excellent problem-solving and communication skills
#LI-DNP
Similar Jobs at IMC Trading
.png){kind=avatar}
Fintech • Machine Learning • Software • Financial Services
The C++ Software Engineer will design and implement software features for trading systems, conduct debugging, perform root cause analysis, ensure code quality through testing, mentor junior staff, and collaborate with teams to meet trading requirements.
Top Skills:
BazelC++C++ Standard LibraryClangCompiler SanitizersGccGdbGerritGmockGtestJIRAMagictraceTeam CityValgrind
Fintech • Machine Learning • Software • Financial Services
Implement software features for trading systems, debug issues, maintain code quality, mentor junior developers, and collaborate with teams. Requires a Bachelor's in a related field and one year of experience.
Top Skills:
CvxpyDockerFastapiGerritGitlabGitlab CiJIRAKubernetesLinuxMemrayNumpyPandasPolarsPy-SpyPytestPythonReactScikitScikit-LearnTeam CityTensorFlowUv
Fintech • Machine Learning • Software • Financial Services
The C++ Software Engineer will design and implement software features for trading systems, conduct debugging, perform root cause analysis, ensure code quality through testing, mentor junior staff, and collaborate with teams to meet trading requirements.
Top Skills:
BazelC++C++ Standard LibraryClangCompiler SanitizersGccGdbGerritGmockGtestJIRAMagictraceTeam CityValgrind
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
