Senior Hardware Engineering, AI Systems Specialist

This is a fully remote position, open to applicants in United States, +4 more countries.

📋 Description

• Develop technically sound, self-sufficient hardware engineering challenges rooted in authentic industry and research contexts.

• Create comprehensive reference solutions utilizing engineering calculations, simulations, scripts, experimental logic, and other suitable approaches.

• Design engineering assignments that necessitate quantitative analysis, technical judgment, and effective problem-solving.

• Employ programming and engineering software to model, simulate, assess, and validate hardware systems.

• Generate Python scripts and additional computational tools to streamline engineering calculations and validation processes.

• Assess engineering solutions based on physical laws, technical standards, and practical operating limitations.

• Confirm engineering models and simulation outcomes by comparing them to experimental or physical test results.

• Create and implement verification and testing strategies.

• Analyze intricate hardware failures, pinpoint root causes, and propose corrective measures.

• Utilize AI Coding Agents to enhance engineering workflows, code creation, debugging, and technical troubleshooting.

• Record methodologies, assumptions, calculations, and reference solutions to guarantee reproducibility and independent verification of results.

⛳️ Requirements

• A Bachelor's, Master's, or PhD in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related field.

• Extensive professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.

• Proven track record of leading significant engineering projects, such as bringing a hardware product or subsystem to production, validating engineering models with physical tests, developing engineering test or verification systems, or troubleshooting complex hardware issues.

• Essential hands-on experience with AI Coding Agents.

• Strong practical programming abilities and capability to independently write, comprehend, debug, and execute code.

• Familiarity with programming languages or engineering tools pertinent to hardware development and analysis.

• Proficiency in linking first-principles engineering knowledge with practical design and operational constraints.

• Exceptional quantitative, analytical, and technical reasoning capabilities.

• Capacity to generate clear, technically precise, and independently verifiable engineering solutions.

• Excellent written and verbal communication skills in English.

🏝️ Benefits

• Approximately 15 hours of work per week.

• Flexible working hours; choose your preferred days and times, including weekends.

• Compensation based on output, with payment per task that meets project requirements.