Senior Hardware Engineering, AI Systems Specialist

This is a fully remote position, open to applicants in Singapore.

📋 Description

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

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

• Design engineering assignments that necessitate quantitative analysis, technical decision-making, and practical problem resolution.

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

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

• Assess engineering solutions against fundamental physical principles, technical requirements, and real-world operational limitations.

• Confirm the accuracy of engineering models and simulation results through comparison with experimental or physical test data.

• Formulate and implement verification and testing strategies.

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

• Utilize AI Coding Agents to enhance engineering workflows, facilitate code development, debugging, and technical problem resolution.

• Record methodologies, assumptions, calculations, and reference solutions to guarantee that results are reproducible and can be independently verified.

⛳️ Requirements

• A Bachelor's, Master's, or PhD degree 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 ownership of significant engineering projects, including transitioning a hardware product or subsystem into production, validating engineering models against physical tests, developing engineering testing or verification systems, or diagnosing and resolving complex hardware failures.

• Essential hands-on experience with AI Coding Agents.

• Strong practical programming abilities with the capacity to independently write, comprehend, debug, and execute code.

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

• Capability to link first-principles engineering knowledge with practical design and operational constraints.

• Excellent quantitative, analytical, and technical reasoning skills.

• Ability to deliver clear, technically accurate, and independently verifiable engineering solutions.

• Proficient written and spoken English communication skills.

🏝️ Benefits

• Flexible schedule; select your working days and hours, including weekends.

• Approximately 15 hours per week.

• Output-based compensation, with payment per task that meets project specifications.