Top Engineering Jobs in New York City, NY

Designs and maintains scalable distributed infrastructure across on-premise and public cloud environments. Evaluates emerging technologies and open-source tools, supports incident response and on-call operations, establishes platform engineering standards, and leads cross-functional initiatives from requirements through adoption. The role enables engineering and data science teams to operate research, simulation, and trading workloads efficiently and reliably.

Lead engineering and operational support for critical production systems. Develop automation, services, tools, and libraries; improve observability, scalability, availability, and operability; monitor production environments; enforce change management and automated testing; collaborate with software engineering teams on architecture and reliability; and participate in on-call support.

Develop and scale quantitative software, models, systems, tools, frameworks, and libraries supporting machine learning, quantitative research, and trading. Collaborate with research partners to prototype and implement models, design quantitative architectures, optimize performance, and improve scalability. The role requires algorithm development, scientific computing, and expertise with Python-based numerical and machine learning technologies.

Develop and optimize low-latency quantitative software for research, feature construction, alpha generation, and trading. Partner with quantitative researchers to prototype and implement components in Rust, C++, and Python, analyze real-time and simulated trading data, and research improvements to models, feature pipelines, and strategies. Build deep expertise in research systems, quantitative domains, and financial markets while delivering high-quality, high-performance software.

Build and productionize quantitative software for systematic macro research and trading. Responsibilities include prototyping research implementations, designing architectures, analyzing model impacts, evolving research systems, and partnering with quantitative researchers, product managers, engineering leaders, and business stakeholders. The role requires developing expertise across multiple research domains and delivering high-quality software products for macro instruments and markets.

Designs and optimizes CUDA kernels and GPU workloads for financial computation, improving throughput, latency, memory efficiency, and numerical precision across modern NVIDIA hardware. Develops reusable GPU libraries, profiles workloads with NVIDIA tools, manages mixed-precision computation, and evaluates frameworks such as RAPIDS, CUTLASS, cuBLAS, and TensorRT. Collaborates with quantitative modeling teams and may support multi-GPU and multi-node programming.

Lead the architecture and evolution of quantitative software systems supporting forecasting, simulation, optimization, research, modeling, and trading. Define technical strategies, establish architectural standards, manage technical risks, balance business and long-term goals, serve as a technical expert, and mentor senior engineers. The role requires strong software engineering, quantitative, financial, communication, and relationship-building skills.

Develop and productionize quantitative research systems supporting forecasting, simulation, optimization, modeling, and trading. Collaborate with quantitative researchers to prototype architectures, analyze the impact of engineering work on trading models, evolve core research components, and build expertise across multiple domains. The role requires strong software engineering and quantitative analysis skills, with knowledge of statistical methods, convex optimization, numerical methods, performance optimization, and financial market structures beneficial.

Design, simulate, and test FPGA-based digital logic; develop reusable RTL components, verification environments, tests, and debugging tools. Analyze waveforms, support synthesis and timing workflows, integrate hardware-software interfaces, and collaborate across engineering and quantitative teams. Interns complete a mentored 10-week project and present their findings.

Develop and maintain software, analysis tools, and trading-platform capabilities that help quantitative researchers explore and implement trading strategies. Partner with researchers and traders to analyze data and performance, support new markets and asset classes, and improve productivity, risk reduction, and trading operations. The role requires strong software engineering fundamentals and programming experience in Python, Java, C, or C++.