--- title: 'Rapid Prototyping Engineer at Tacit' canonical: 'https://feeny.ai/job/rapid-prototyping-engineer-tacit-san-francisco-c6r78rgdqcrg' type: 'job' last_seen: '2026-09-09' --- # Rapid Prototyping Engineer at Tacit - **Company:** Tacit - **Location:** San Francisco, CA - **Compensation:** $123k–$139k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-27 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/tacit/368b287c-3773-4952-8927-dab9019615da ## 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 looking for a Rapid Prototyping Engineer, an engineering generalist who sits at the intersection of R&D and hardware engineering. You'll work closely with our design, electrical, and sensing teams to rapidly design, build, and iterate on mechanical, electrical, and sensor prototypes for novel wearable devices — while also owning the assembly and test fixtures that make those prototypes buildable and repeatable. This is a hands-on, builder-at-heart role for someone who thrives on ambiguity and enjoys turning a rough concept into a working, testable physical system. You'll be the person the hardware and research teams come to when something new needs to be designed, fixtured, built, and iterated on fast — and when successful, you'll turn those one-off builds into scalable, DFM-friendly processes that support our product ramp from NPI/NTI through production. ## WHAT YOU'LL DO - Prototyping & Build - Rapidly design and fabricate mechanical, electrical, and sensor prototypes to support R&D experiments and engineering development for wearable and consumer-electronics form factors. - Build end-to-end prototype systems: from concept sketches through CAD, fabrication, wiring, sensor/RF component integration, and validation. - Develop quick-turn PCBs, flex circuits, wiring harnesses, and cable assemblies for prototype electronics. - Hands-on soldering and assembly of electrical and sensing circuit components, including delicate flex and fine-pitch work. - Evaluate and select sensors, actuators, and off-the-shelf components for integration into prototype systems. - Fixtures & Tooling - Design, build, and iterate on assembly and test fixtures, jigs, and tooling from the ground up to support novel processes and ensure build quality and efficiency for complex devices and wearables. - Partner with design engineers to provide DFM/DFA feedback and drive design iterations before problems reach production. - Build fixtures that improve repeatability, cycle time, and debug visibility for both R&D builds and early manufacturing runs. - Debug, Troubleshooting & Iteration - Perform hands-on assembly, troubleshooting, and debugging of electromechanical systems, isolating whether an issue is mechanical, electrical, or process-related. - Identify and address failure modes specific to wearable hardware (fit, comfort, cable management, contact forces, thermal effects, wear over repeated use). - Take initiative in driving design iterations, documenting findings, and proposing next steps with minimal supervision. - Cross-Functional Collaboration - Collaborate with electrical, RF, mechanical, and firmware engineers to integrate hardware with control systems and test software. - Support NPI/NTI/R&D efforts, working closely with design and validation teams as products move from early prototype toward production intent. - Communicate build status, design risks, and recommendations clearly to both technical and non-specialist audiences. - Document designs, build procedures, and test results to support knowledge transfer and continuous design improvement. ## REQUIREMENTS - Bachelor's degree in Mechanical, Electrical, Mechatronics Engineering, or a related field. - 2+ years of experience in prototyping, R&D engineering, or hardware development, ideally in wearables, consumer electronics, robotics, or research lab environments. - Required experience with NPI/NTI/R&D processes, taking hardware from early concept through pre-production. - Proficiency in CAD software (Onshape, SolidWorks, or Fusion 360) with strong 3D modeling and drafting skills. - Working knowledge of PCB design and electronics, and comfort with soldering electrical and RF circuit components, wiring, reading schematics, and integrating sensors. - Hands-on ability to build and troubleshoot electromechanical systems. - Hands-on expertise with rapid prototyping methods: 3D printing (FDM/SLA), laser cutting, CNC machining, sheet metal fabrication, and manual machining. - Demonstrated experience designing and building assembly and test fixtures, jigs, and tooling from scratch. - Excellent project management and cross-functional collaboration skills. - Strong track record of troubleshooting, debugging, and iterating on designs independently. - A builder at heart: someone who takes initiative, brings creativity and problem-solving to ambiguous challenges, and can work with minimal supervision. - Excellent communication skills and comfort operating in a fast-paced, ambiguous environment where requirements evolve quickly. ## STRONG CANDIDATES MAY HAVE - Familiarity with wearable or consumer-electronics form factors and the constraints of designing for comfort, fit, and durability against the body. - Experience with RF or antenna hardware integration and the fixturing challenges specific to RF test and assembly. - Basic scripting ability (Python) for test automation, data collection, or hardware interfacing. - Experience supporting builds across EVT, DVT, and PVT stages with contract manufacturers ## SUCCESS IN THIS ROLE LOOKS LIKE - Research and design concepts are rapidly and reliably turned into working physical prototypes. - Assembly and test fixtures enable consistent, repeatable builds across R&D and early production runs. - DFM/DFA feedback delivered early prevents costly design iterations downstream. - Cross-functional teams have a trusted go-to person for hands-on build, debug, and fixture needs. - Prototype learnings and fixture designs translate smoothly into scalable production processes. ## BENEFITS - Competitive equity package - Comprehensive medical, dental, and vision insurance - Company size: 30-50 people - Unlimited PTO - Visa sponsorship - 4% 401k matching ## 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/) ## Other roles at Tacit - [Frontend Product Engineer](https://feeny.ai/job/frontend-product-engineer-tacit-san-francisco-2t7b6qys1eg5) — San Francisco, CA - [Finance and Operations Lead](https://feeny.ai/job/finance-and-operations-lead-tacit-san-francisco-njjpatk3w9a3) — San Francisco, CA - [Technical Program Manager, Operations & Manufacturing](https://feeny.ai/job/technical-program-manager-operations-manufacturing-tacit-san-francisco-6bz0sxs5pxwn) — San Francisco, CA - [EE Systems Validation and Automation Engineer](https://feeny.ai/job/ee-systems-validation-and-automation-engineer-tacit-san-francisco-9cdw1f8w71cg) — San Francisco, CA - [RF Hardware Intern (Fall 2026)](https://feeny.ai/job/rf-hardware-intern-fall-2026-tacit-san-francisco-qxswc71mxb9g) — San Francisco, CA - [Machine Learning Scientist](https://feeny.ai/job/machine-learning-scientist-tacit-san-francisco-pt1w314e43ge) — San Francisco, CA - [Data Collection Technician](https://feeny.ai/job/data-collection-technician-tacit-san-francisco-z3hyxpf9r298) — San Francisco, CA - [RFIC Silicon Lead](https://feeny.ai/job/rfic-silicon-lead-tacit-san-francisco-zdy00hqe0mnm) — San Francisco, CA - [Senior RF Validation Engineer](https://feeny.ai/job/senior-rf-validation-engineer-tacit-san-francisco-9xq9s0r3qxr1) — San Francisco, CA - [Senior Firmware Engineer, Edge AI / NPU Runtime](https://feeny.ai/job/senior-firmware-engineer-edge-ai-npu-runtime-tacit-san-francisco-pe289s2hzda4) — San Francisco, CA