Circuit Design Engineer for AI Training

Apply advanced circuit design and Python automation expertise to engineering tasks that support AI training. This coding-intensive contract role focuses on creating, solving, reviewing, and validating technical problems involving electronic hardware, circuit simulation, programmatic EDA workflows, and verification across analog, digital, power, mixed-signal, and RF domains.

• Design, analyze, review, and validate analog, digital, power, mixed-signal, or RF circuits.
• Translate electrical and functional requirements into schematics, netlists, models, HDL, constraints, or simulation inputs.
• Run circuit simulation, synthesis, verification, and related engineering workflows using command-line-accessible tools.
• Interpret circuit requirements, produce or modify netlists or hardware descriptions, analyze simulation and verification outputs, and determine whether designs satisfy electrical and functional constraints.
• Use Python to generate inputs, automate simulations, perform parameter sweeps, control instruments, and analyze results.

• MS or PhD in Electrical Engineering or a closely related discipline, or a BS in Electrical Engineering plus at least 1 to 2 years of relevant professional circuit design experience.
• Meaningful experience designing analog, digital, power, mixed-signal, or RF circuits.
• Experience with designs that were fabricated, integrated, shipped, or taped out, rather than experience limited to simulation.
• Practical proficiency with Python.
• Experience incorporating coding agents into Python-based engineering workflows.
• Experience with programmatic or command-line-accessible EDA tools. Relevant examples include ngspice, Xyce, Yosys, Verilator, KiCad scripting, SPICE-compatible simulators, HDL simulators, synthesis tools, or equivalent software.
• Experience with comparable CLI-accessible engineering tools is acceptable.
• Relevant Python experience may include PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, instrument-control libraries, EDA APIs, or internally developed automation tools. No single Python library is required.

• Fully remote and open globally.
• Independent contractor engagement.
• Approximately 15 hours per week.
• Flexible scheduling, with candidates choosing the hours and days they work, including weekends if preferred.
• Candidates should be ready to begin immediately.
• Roles are typically filled within 48 hours.
• If selected, candidates are expected to begin their first task within 24 to 48 hours after completing onboarding.

• Advertised rate: $80 to $150 per hour.
• Compensation is output-based, with payment issued per task that meets project specifications.
• Task completion time may vary based on the expert''s experience and workflow.
• Minimum submission requirements apply.

• Submit an application and complete the screening questions.
• Complete an AI-based interview lasting approximately 30 minutes.
• Applications then proceed to hiring manager review.
• Applicants must acknowledge the applicable candidate terms and privacy policy when submitting the application.