---
title: 'Antenna Engineering Intern (Fall 2026) at Tacit'
canonical: 'https://feeny.ai/job/antenna-engineering-intern-fall-2026-tacit-san-francisco-14wpxp8hhdp4'
type: 'job'
last_seen: '2026-09-09'
---

# Antenna Engineering Intern (Fall 2026) at Tacit

- **Company:** Tacit
- **Location:** San Francisco, CA
- **Compensation:** $40–$60/hr
- **Employment:** internship
- **Work type:** onsite
- **Posted:** 2026-03-26
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/tacit/9d8cf04c-4033-40ff-9af4-91dd8e4f02c6

## 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 are seeking a highly motivated PhD student for an internship position to help develop and test our wireless sensing hardware. The successful candidate will work closely with our team of engineers and researchers to design, simulate, analyze, tape out, integrate, and validate advanced antenna systems. This role offers hands-on experience across full product lifecycle, with a focus on design optimization and performance reliability. This internship offers a chance to work on hard problems of great impact and a unique opportunity for direct involvement in 0-to-1 product development within a dynamic and collaborative startup environment.

## WHAT YOU'LL DO

- Design and evaluation of antennas for a given wireless channel link budget starting from first-principles, while considering pros/cons of different solutions and trade-off between KPIs
- Perform computational electromagnetic simulations and develop new simulation models using full-wave EM software tools
- Analyze and interpret simulation results, providing insights and recommendations for design improvements and performance optimization
- Build mock ups for proof-of-concept prototypes and test vehicles, build test fixtures and platforms, and create solutions to automate the antenna system development process, and data analysis of testing workflows
- Assist in PCB layout design process, and DFM reviews -considering mass production readiness- with vendors and external manufacturing partners
- Integrate antennas into complete device form factor by collaborating with cross-functional teams
- Carry out antenna characterization and ensure that the antennas integrated in our products meet their specifications in free space and on-body from prototype to mass production
- Assist in sensor calibration to reduce device-to-device variability and maintain reliable performance in different operating conditions and practical user-study cases across user populations
- Optimize hardware system for low-noise/low-interference, high-resolution signal detection and processing, and ensure compliance with regulatory requirements and power budget
- Document designs, experiments, and studies; and clearly report findings and recommendations to the wider team

## REQUIREMENTS

- Currently enrolled in PhD program in Electrical Engineering, Physics, or a related field with a focus on antennas and/or computational electromagnetics.
- Strong theoretical and practical understanding of antenna theory and electromagnetic wave propagation, as well as basic microwave engineering concepts (e.g. transmission lines, impedance matching, baluns, S-parameters, linear systems, filter design, etc.) • Proficiency in computational electromagnetic simulation tools (e.g., CST, XFDTD).
- Experience in PCB schematic and layout tools (e.g. Altium Designer, Cadence)
- Hands-on experience in microwave measurement equipment (vector network analyzers, spectrum analyzers, signal generators, etc.)
- Hands-on experience designing, prototyping and building functional antenna systems
- High work ethic, enthusiasm, flexibility, and resourcefulness
- Excellent problem-solving skills, and ability to work independently and take initiative
- Strong communication and documentation skills, and ability to work well in a team and across disciplines

## STRONG CANDIDATES MAY HAVE

- Experience in on-body or implantable wireless devices, sensing, imaging applications
- Experience in any of: UWB, directional miniaturized antennas, multiband antennas, flexible electronics, e-textiles, ultra-low power wireless systems, integrated sensing and comms
- Experience in design optimization and inverse design techniques for electromagnetics structures • Experience in de-sense, coexistence, EMC/EMI and OTA performance
- Familiarity with AI/ML techniques for signal processing or time-series data (e.g., preprocessing, feature extraction, or integration with deep learning models)
- Experience with Python or MATLAB for scripting, data processing and test automation
- Desire for accountability and ownership —able to manage time effectively, drive tasks independently, and escalate and communicate issues and needs clearly
- Publications or conference presentations in relevant areas

## COMPENSATION RANGE

$40 - $60/hour

## About Tacit

## Company Overview
- **One-liner**: An early-stage, stealth deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction, with a focus on neurotechnology and Edge AI.
- **Entity Type**: Private (Early Stage, Stealth)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Not publicly available (founding team includes alumni from Stanford, BrainGate, Oculus, and Tesla)

## Core Business
- Primary industry/industries: Neurotechnology, Edge AI Hardware, Human-Computer Interaction
- Target customers: B2B/B2C in consumer electronics, wearable tech, neurotech, and AR/VR sectors
- Mission or purpose statement: To develop revolutionary hardware that redefines how humans interact with computers, leveraging deep tech innovations in neural interfaces and on-device artificial intelligence.

## Products & Services
- **Product/Platform**: A next-generation neurotech hardware platform (stealth mode – specific product details are not publicly disclosed) that integrates production-grade on-device intelligence, realtime sensor processing, and NPU/DSP-accelerated inference.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (stealth startup)
- **Key Metric**: Total Funding – Backed by top-tier venture firms (General Catalyst, Khosla Ventures, Greylock Partners) but specific funding amounts are not publicly available.
- **Notable Investors/Partners**: General Catalyst, Khosla Ventures, Greylock Partners
- **Growth Signals**: Company size estimated at 20–30 employees ([bebee.com](https://bebee.com/us/companies/tacit)), rapidly hiring across firmware, AI, and hardware engineering roles; founding team from elite institutions (Stanford, BrainGate, Oculus, Tesla), indicating strong talent acquisition and ambitious R&D trajectory.

## Competitive Advantages
- Deep tech moat: proprietary neurotech hardware combined with custom Edge AI runtimes and NPU/DSP optimization.
- World-class founding team with proven expertise in neural interfaces (BrainGate), consumer VR (Oculus), and electric vehicle engineering (Tesla).
- Backing from a powerhouse coalition of venture firms (General Catalyst, Khosla, Greylock), providing significant resources for long-term, capital-intensive hardware development.
- Stealth positioning allows focused R&D without competitive pressure, enabling breakthrough innovation.

## Strategic Focus
- Shipping production-grade edge intelligence: developing realtime sensor-to-inference pipelines for neurotech hardware.
- Power optimization: deeply optimizing end-to-end energy per inference for battery-powered consumer devices.
- Scaling engineering team: actively recruiting Senior Firmware Engineers, AI Product Engineers, and other hardware/software roles to accelerate productization.
- Building a full-stack neurotech platform from sensor acquisition through model deployment and user experience.

## Why Work Here
- **Culture**: Early-stage, high-autonomy environment; team members own critical parts of the embedded AI stack and shape the product’s intelligence.
- **Remote/Hybrid/Office**: On-site in San Francisco (based on all job postings specifying "Location Type: On-site" and "San Francisco").
- **Compensation**: $150,000 – $200,000 base salary plus competitive equity package, 3% 401k matching, comprehensive medical/dental/vision, and unlimited PTO.
- **Engineering Culture**: Hands-on work with cutting-edge hardware (NPUs, DSPs, custom sensors) and production AI; strong cross-functional collaboration between firmware, ML, electrical, and product teams.
- **Visa Sponsorship**: Offered for qualified candidates.
- **Perks**: Full medical/dental/vision coverage, 401(k) with company match, unlimited PTO, and the opportunity to ship revolutionary neurotech hardware to real users.

## Sources
1. [Tacit Careers Page (Ashby)](https://jobs.ashbyhq.com/tacit/62712a3e-e5b8-4884-9450-aae4d2dfa45c)
2. [BeBee - Tacit Company Profile](https://bebee.com/us/companies/tacit)
3. [Jobright.ai - Tacit AI Product Engineer Posting](https://jobright.ai/jobs/info/6971dbb2b707bf728a4b654d)
4. [Indeed.com - Tacit Careers and Employment](https://www.indeed.com/cmp/Tacit)
5. [Tacit AI Official Website (Tacit AI)](https://tacitx.ai/about/) – *(Note: this domain appears distinct from tacit.ai; included as potential affiliate/likely same company under different brand)*
6. [Tacit Official Website](https://tacit.ai/)

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