San Francisco, California, United States · On-site
$40/hr–$50/hr
Entry level
About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partn…
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$40/hr–$50/hr
Internship
bachelor degree
Posted 5d ago
~40 hrs/week
Responsibilities
The intern will own the prototyping and characterization of components for sensing architecture improvements. They will also drive firmware implementation for integrating new ICs for sensor fusion and document engineering findings.
Requirements
Candidates should be pursuing a degree in Electrical Engineering or a related field with experience in Python, Altium, and Embedded C/C++. Proficiency in mixed-signal design and the ability to work independently in a fast-paced startup environment are highly valued.
Full job description
About Tacit
We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can’t reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
About the role
We’re seeking a motivated Electrical Engineering Intern to help ideate, bring up, and characterize additional sensor systems for our cutting-edge sensing technology. This role offers hands-on experience across hardware, analog design, sensor bring-up, and firmware, along with collaborative learning, mentorship, and direct involvement in product development within a dynamic startup environment.
This position is primarily for a summer-start internship, with flexibility to continue beyond the initial three-month term.
What you'll do
Own prototyping and characterization of components for sensing architecture improvements
Drive firmware implementation for the integration of new ICs for sensor fusion
Document and clearly present engineering findings and recommendations
Strong candidates may have
Experience with Python, PCB design using Altium, and Embedded C/C++
Experience with mixed-signal design at the system or PCB level
Pursuit of a degree in Electrical Engineering or a related field
Independent work ethic, flexibility, and resourcefulness
Effective communication and collaboration skills
Comfort working in a fast-moving startup environment and excitement to build independently
Tacit gives Industrial Workers Superpowers leveraging AI technologies. The Tacit platform captures, preserves and scales tacit knowledge in-context and on-demand across the industrial workforce.
Millions of industrial workers operate in complex and hazardous environments where high value and time sensitive challenges demand immediate resolution. Without speed to knowledge delivered in-context and on-demand to easily access expertise remotely, worker safety is compromised, productivity declines, and brand reputations suffer…with millions in lost revenues at stake.
Tacit solves this knowledge gap. We enable internal and external experts to quickly capture, preserve and share tacit knowledge — codifying the undocumented knowledge, experience, relationships, and instincts developed over their careers.
Tacit is a unified knowledge-centric SaaS and Expert Network Marketplace platform with a people first focus, leveraging human and artificial intelligence (HI + AI). Tacit enables industrial customers in mission critical industries to organize their retiring workforce and contractors to be available on-demand, in real-time remotely through a secure platform that unlocks critical knowledge where these experts can continue to contribute/earn and organizations can access/document their expertise. Tacit connects the workforce with the knowledge they need in-context, on-demand with natural language AI intelligent search providing instant results, dynamic features like Notes, How-to Video Snippets, Intelligent PDF Viewer adds context/media curating static documents, access to live experts remotely in real-time.
Offices: San Francisco , CA, US
Augmented RealitySoftwareMarketplaceEnterprise SoftwareSaaSInternet of ThingsNatural Language ProcessingArtificial Intelligence (AI)Computer VisionMachine Learning
Tacit gives Industrial Workers Superpowers leveraging AI technologies. The Tacit platform captures, preserves and scales tacit knowledge in-context and on-demand across the industrial workforce.
Millions of industrial workers operate in complex and hazardous environments where high value and time sensitive challenges demand immediate resolution. Without speed to knowledge delivered in-context and on-demand to easily access expertise remotely, worker safety is compromised, productivity declines, and brand reputations suffer…with millions in lost revenues at stake.
Tacit solves this knowledge gap. We enable internal and external experts to quickly capture, preserve and share tacit knowledge — codifying the undocumented knowledge, experience, relationships, and instincts developed over their careers.
Tacit is a unified knowledge-centric SaaS and Expert Network Marketplace platform with a people first focus, leveraging human and artificial intelligence (HI + AI). Tacit enables industrial customers in mission critical industries to organize their retiring workforce and contractors to be available on-demand, in real-time remotely through a secure platform that unlocks critical knowledge where these experts can continue to contribute/earn and organizations can access/document their expertise. Tacit connects the workforce with the knowledge they need in-context, on-demand with natural language AI intelligent search providing instant results, dynamic features like Notes, How-to Video Snippets, Intelligent PDF Viewer adds context/media curating static documents, access to live experts remotely in real-time.
Offices: San Francisco , CA, US
Augmented RealitySoftwareMarketplaceEnterprise SoftwareSaaSInternet of ThingsNatural Language ProcessingArtificial Intelligence (AI)Computer VisionMachine Learning