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Top Engineering Jobs in Chicago, IL
Fintech • Machine Learning • Software • Financial Services
The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.
Top Skills:
PandasPolarsPython
Fintech • Machine Learning • Software • Financial Services
Design and verify next-generation ASICs for latency-sensitive trading systems. Responsibilities include RTL development in SystemVerilog, verification and testing, debugging, integration, tooling and automation, and cross-team collaboration to meet performance and reliability goals.
Top Skills:
AsicBashC++Clock-Domain CrossingDebugging ToolsEthernetFpgaPmaPythonRtlSystemverilogUnit TestingVerification Frameworks
Fintech • Machine Learning • Software • Financial Services
Perform hands-on electronics lab work: validate and bring up circuit boards and ASICs, operate and maintain test equipment and fixtures, manage inventory and lab infrastructure, support manufacturing coordination, assembly, shipping, and documentation to enable hardware production and deployment.
Top Skills:
3D PrinterMultimeterOscilloscopePcb/Circuit BoardsSolderingTest EquipmentTest Fixtures
Fintech • Machine Learning • Software • Financial Services
Design, implement, and deploy ML inference engines on custom FPGA/ASIC hardware. Perform HW/SW co-design with traders and researchers, optimize neural networks for low latency, and build quantization/compression tools to translate ML frameworks to RTL for rapid production deployment.
Top Skills:
AsicC++FpgaPythonQuartusRtlSynplifySystemverilogVerilogVhdlVivado
Fintech • Machine Learning • Software • Financial Services
This role involves ensuring system continuity in trading operations, developing automation tools, and improving system performance in a trading environment.
Top Skills:
BashFpgaKubernetesLinuxMongoDBMySQLNoSQLPython
Fintech • Machine Learning • Software • Financial Services
Support researchers and ML engineers to optimize and scale HPC workloads on CPU/GPU infrastructure. Analyze performance, diagnose bottlenecks across storage, networking, and schedulers, implement profiling and benchmarking, influence platform design, and define best practices for shared compute environments while ensuring security and compliance.
Top Skills:
C++ContainersCudaKubernetesLinuxPython
Fintech • Machine Learning • Software • Financial Services
The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.
Top Skills:
BashFiber OpticsLinuxNetwork CablingNetwork DevicesPythonServer HardwareStorage Systems
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