Graduate Quant Trader Jobs in Michigan (NOW HIRING)

• Conceptualize, design, integrate, and qualify digital, analog, and power circuitry, with supplemental RF principles, for avionics applications
• Design circuits utilizing microprocessors, memory devices, Ethernet, SPI, I2C, PCIe, and other avionics interfaces
• Develop and review electrical schematics and support PCB layout activities
• Support CAD layout reviews, preferably using Altium-based tools
• Generate engineering documentation including HRDs, HDDs, and HCIAs
• Provide technical inputs supporting certification documentation, including PHAC development
• Perform electrical design activities ranging from individual circuit design through aircraft-level system architectures
• Utilize electrical analysis tools for power distribution, stress analysis, and related simulations
• Apply AI and machine-learning tools to accelerate circuit design, automate analysis, and improve design verification and defect detection
• Evaluate and adopt emerging engineering tools, methods, and technologies that advance avionics hardware development
• Conduct trade studies and quantitative engineering analysis to optimize performance, cost, reliability, and manufacturability
• Support proposal efforts by estimating engineering tasks, identifying technical risks, and planning development activities
• Collaborate effectively across multiple engineering disciplines and technical teams
• Interface directly with customers to understand requirements and develop practical engineering solutions
• Perform other duties as assigned
• Travel up to 10%

• Bachelor’s Degree in Electrical Engineering or Computer Engineering and a minimum of 5 years of relevant experience; or Graduate Degree and a minimum of 4 years of related experience
• Minimum 2 years of experience with electrical hardware design; aerospace experience preferred
• Hands-on experience designing and developing avionics products, RF systems, or sensor-based products
• Demonstrated experience applying engineering analysis and modern software or AI-enabled tools to solve hardware design challenges

• Working knowledge of at least one programming language such as Python or C++
• Experience developing integrated aerospace hardware and software products
• Exposure to Model-Based Systems Engineering (MBSE)
• Experience applying AI or machine learning tools to hardware design, analysis, test automation, or engineering productivity initiatives
• Proficiency with data analysis and scripting tools, including Python, to automate workflows and support engineering decisions
• Understanding of FPGA and firmware development requirements and their impact on hardware design
• Experience with RTOS integration and associated hardware design considerations
• Practical understanding of RF design principles, particularly within the L-band frequency range
• Strong interpersonal skills with experience working within multidisciplinary engineering teams
• Excellent written, verbal, and presentation communication skills
• Knowledge of DO-160, DO-178, and DO-254
• Experience with Design-to-Cost and Design-for-Manufacturability methodologies
• Experience supporting production and test activities across geographically distributed teams
• Demonstrated ability to manage multiple programs and responsibilities simultaneously
• Ability to operate independently and determine appropriate paths forward with minimal oversight
• Pilot License or Part 107 Certificate

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.