Devin (The Devin Experience) | Founding Hardware Lead | Toronto or Boston preferred | REMOTE (North American time zones) | Full-time | Competitive salary + meaningful founding equity | https://experiencedevin.com/jobs

We're building an intimate device that responds in real time to a live AI-generated story and to her body: an app-connected, sensor-equipped vibrator synced to an interactive audio story that AI performs live. The device follows the story, and the story follows her body. Our first 1,000 pre-orders sold out, and we've raised a $1.5M pre-seed. All-woman founding team (CEO is an exited founder and HBS grad; CTO is a multi-time founder and MIT alum; COO/CPO helped lead Wattpad to a $650M exit).

This is employee #1. You'll own hardware architecture, review and change our China partners' schematics and C/C++ BLE firmware (ESP32 / nRF), co-design the BLE protocol under tight latency budgets, integrate the IMU and body sensors (separating real body signals from the device's own vibration), and take us from prototype through EVT/DVT, certification and production, with trips to Shenzhen at key milestones.

You've shipped connected hardware end to end (consumer, wearable, medical or robotics), have 8+ years building hardware products with hands-on embedded work, and have been through at least one production ramp with a contract manufacturer. Bonus: haptics/motor control (ERM/LRA, PWM, waveform tuning), real-time systems, body-worn sensing, FCC/CE/Bluetooth SIG certification.

Apply: email seema@experiencedevin.com with your resume or LinkedIn and a short note on one product you shipped: what you owned, the hardest hardware problem you solved, and how you knew it worked.

Thunder Compute (YC S24) | C++ Systems, Infrastructure, BizOps | San Francisco (Onsite) | Full-time | https://www.thundercompute.com

We're building the VMware for GPUs. Most GPUs in the cloud sit idle a lot of the time because they're bolted to one machine over PCIe. We decouple them.

Our virtualization layer is a userspace shim, loaded through LD_PRELOAD, that intercepts CUDA calls and ships them over the network to a host with a physical GPU somewhere else in the data center. Workloads run unchanged. When a process goes idle, the GPU detaches and gets reassigned, and reattaches in tens of milliseconds when it's needed again. Think Ceph for GPUs: the GPU becomes a network resource a cluster-wide scheduler can pool and pack.

The hard part is making that fast. We're within ~10% of native on most AI workloads, and it lets us serve ~1.8x more users on the same fleet. We run it in production as our own GPU cloud and sell it to enterprises with underutilized fleets.

Team is from Citadel Securities, Aquatic, Old Mission, AWS, and Bain. Series A, $17.5M raised from Matrix and Y Combinator.

Open roles:

- Software Engineer, C++ Systems ($215K-$325K + meaningful equity). Low-level, latency-sensitive work on the virtualization layer. Quant dev / HFT background preferred: https://jobs.ashbyhq.com/thundercompute/2efae53b-817c-43e7-9...

- Software Engineer, Infrastructure ($150K-$250K + meaningful equity). Go, Kubernetes, reliable systems at scale: https://jobs.ashbyhq.com/thundercompute/927a922b-c607-4b0e-a...

- Business Operations Lead ($150K-$225K + meaningful equity): https://jobs.ashbyhq.com/thundercompute/4f28e418-b77b-446e-a...

If you're cracked at building systems software and want to do something more meaningful than creating liquidity, reach out.

Email me at carl@thundercompute.com and mention HN. I read every email.

Flexibits | Android Software Engineer | Remote | Full-time https://flexibits.com/jobs

We make Fantastical and Cardhop, award-winning calendar and contacts apps for macOS, iOS, visionOS, and Windows. We are a small, fully-remote company spread across the US and Europe, and welcome anyone from around the world. We prefer candidates that are in time zones between US Pacific Time and Central European Time.

We're looking for an enthusiastic and experienced Android developer to help bring the joy of Flexibits apps to Android. This will include learning the ins and outs of Fantastical and bringing its magic to Android, all the way from the natural language parser to the beautiful user interface.

Tech stack: Kotlin, C#, Objective-C, Swift, AppKit, UIKit, SwiftUI, C, C++.