Voltai Com
Application Engineer
Menlo Park, CA, USA
Sponsorship not specifiedDetected 459 days ago
PythonMachine LearningAgentic AIProduct ManagementSalesPCB DesignAltiumKiCadEmbedded SystemsElectrical EngineeringHardware DesignPower ElectronicsLeadershipCommunicationCollaboration
About the role
- Our founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn.
- At Voltai, we are combining the world's best talent in the intersection of software and hardware.
Responsibilities
- Expertise in circuit design, including analog and digital circuits, microcontroller systems, and power management.
- Experience in PCB design and layout using tools like Altium, Eagle, or KiCad, from concept to manufacturing.
- About Voltai Voltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design.
Requirements
- Strong understanding of power electronics, signal integrity, and PCB debugging using lab equipment (oscilloscopes, logic analyzers, etc.).
- Proficiency in hardware-software co-design and collaboration with firmware engineers.
- Required Skill Sets 4+ years of proven experience supporting customers through design-in, debugging, and system integration phases.
Benefits
- Unlimited PTO: Recharge when you need it, no questions asked.
- Comprehensive Health Coverage: Medical, dental, and vision insurance for you and your dependents.
- Professional Growth: We invest in your continuous learning and offer opportunities to expand your skills.
- Bonus Points Familiarity with AI/ML techniques related to hardware design automation.
Company info
- On the application engineering team, you'll work closely with customers to address real-world electrical engineering challenges.
Visa & Work Authorization
- We welcome global talent and provide visa sponsorship to support qualified candidates.
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This listing is sourced directly from Voltai Com's careers page and normalized into a canonical job model.