Mechanical Engineering
Mechanical Engineering is an open role at Turing AI Advancement Work, available remotely.
Applications open on Turing AI Advancement Work’s own site. How we make money.
About this role
About Turing Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview We are seeking a Power Electronics Domain Expert to design, structure, and evaluate advanced PCB design tasks across a wide range of power circuit applications. This role combines hands-on PCB design expertise with the ability to build structured evaluation frameworks for benchmarking intelligent design systems. Key Responsibilties Design power electronic circuits, including DC-DC converters (buck/boost), LDOs, AC-DC/DC-DC power supplies, and automotive systems Develop schematics and PCB layouts using tools like KiCad, Altium, or equivalent Perform component selection based on datasheets and design requirements Analyze designs for efficiency, ripple, thermal performance, and reliability Apply PCB best practices, including grounding, routing, EMI, and manufacturability (DFM) Generate manufacturing outputs ( BOM, Gerber files, pick-and-place data ) Conduct design validation via simulations, calculations, and DRC checks Define and implement verification frameworks covering:Specification validation (voltage, current, efficiency, ripple) Component compliance (ratings, derating, datasheets) Design correctness (topology and connectivity) Establish PCB layout evaluation standards including DRC/LVS, DFM, thermal and power integrity Collaborate with cross-functional teams to refine design and evaluation processes Required Skills Strong foundation in power electronics (DC-DC converters, LDOs, etc.) Experience in schematic design and PCB layout Knowledge of power components (switching regulators, inductors, capacitors) Familiarity with PCB design tools (KiCad, Altium, or similar) Ability to interpret component datasheets Understanding of DRC, manufacturability, and EMI basics Preferred Skills Experience with AC-DC power supply design Knowledge of thermal design and power integrity Exposure to automotive or embedded systems Familiarity with simulation tools Experience building validation/evaluation frameworks Ability to define measurable design metrics Basic experience with Python or terminal-based verification scripts Qualification Bachelor’s or Master’s degree in Electronics/Electrical Engineering or related field 5+ years of experience in power electronics or PCB design Key Compentencies Strong analytical and problem-solving skills High attention to detail Ability to work independently and collaboratively Good communication skills
Pay
Not disclosed
Turing AI Advancement Work doesn’t publish a rate for this listing - it isn’t missing from our data.
About Turing AI Advancement Work
Turing AI Advancement Work's connection to Turing: Direct project marketplace. Coding, data science, model evaluation, voice and domain review
Ownership confidence: Confirmed. See the full network profile →
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Frequently asked questions
How do I apply for the Mechanical Engineering role at Turing AI Advancement Work?
Applications go through Turing AI Advancement Work's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Turing AI Advancement Work's access model is "Apply" (Apply to listed projects). This listing was first seen here on August 18, 2026 and was still live at the last check.
Is the Mechanical Engineering role at Turing AI Advancement Work remote?
Yes - Turing AI Advancement Work lists this role as remote.
What does the Mechanical Engineering role at Turing AI Advancement Work pay?
Turing AI Advancement Work doesn't state a rate on this listing. HumanSourcer never fills that gap with an estimate, so the absence is the source's, not a hole in this page. Turing AI Advancement Work's profile shows what its rate-carrying listings do advertise.
What kind of work is Mechanical Engineering?
Coding / software engineering. Coding, data science, model evaluation, voice and domain review
Is Turing AI Advancement Work a legitimate AI-training platform?
Direct project marketplace - and that relationship is rated "Confirmed" here because it can be checked against work.turing.com rather than taken on Turing AI Advancement Work's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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