SiPhox Health

About SiPhox Health SiPhox is a Series B startup pulling silicon-photonics diagnostics out of the central lab and putting them in the home. We combine photonics, microfluidics, embedded systems, cloud software, and semiconductor-grade manufacturing to quantify multiple biomarkers in minutes on a coffee-maker-sized device. We are already in market, serving tens of thousands of customers with a category-leading mail-in blood test, growing 3x YoY. The next step is an at-home photonic blood analyzer that will be the first of its kind. We are close to our first FDA submission. Our mission is simple but ambitious: make healthcare proactive instead of reactive by letting people measure their health frequently, easily, and affordably. The Role We're hiring an AI Embedded Engineer to own critical firmware on our analyzer — a dense board carrying peripherals, motion control, fluid handling, and a reliability bar set by the fact that real patients will take real medical action based on what your code outputs. This is not a role for someone who wants to stay inside the firmware box. The product is a tightly coupled electro-mechanical-optical-fluidic-biochemical system. The best engineer on this team is the one who can step out of the editor, walk to the bench, put a scope on a rail, ask the optics lead why a signal is drifting, and come back with the right firmware fix — not the convenient one. You will work across the main system MCU and a constellation of peripheral micros. You will write production firmware, design bring-up flows, debug timing and control loops at the processor level, and own reliability end to end. You will also be one of the people pushing hard on what AI can do for embedded development at SiPhox — and what AI can do on the device itself. What You'll Do Own firmware. STM32 + RTOS, HALs, real-time state machines, event-driven control, inter-module comms. Production code that has to work every time. Work across peripheral micros. BLDC motor controller firmware, reader micro, sensor controllers. Define the protocols and timing budgets between them. Deliver from bring-up through V&V to commercial release. Integrating across sensors, motion, fluidics, photonics, app, and cloud. Debug across disciplines. Scope a board. Read a fluidic schematic. Ask the mech team a sharp question. Find the actual root cause, not the most convenient one. Own reliability and safety behaviors. Hazard analysis inputs, FMEA, fault-tolerant designs, bootloaders, calibration flows, diagnostics, watchdogs that actually catch things. Build verification automation. Test fixtures, HIL setups, traceability — the unglamorous infrastructure that lets the team move fast without lying to itself. Push AI deeper into how we build, and into what the device itself can do. Contribute to the Design History File. We're a medical device. The details matter. How You Work With AI We expect everyone here to be AI-forward. That means something specific: You use AI agents constantly, and you have opinions about how. You know the difference between a prompt that produces correct firmware and one that produces plausible firmware. You read every line the agent writes for the critical path. You have the fundamentals to direct the model. You can tell when a generated state machine is subtly wrong, when a generated ISR will miss a deadline, when generated memory layouts will fragment under load. AI gets you to a draft 5x faster; your judgment is what makes the draft shippable. You are curious about — or already experienced with — on-device AI. Quantization, model compression, edge inference on Cortex-M class parts, and the tradeoffs between running something on the MCU vs. punting it to the cloud. You have a view on where ML belongs on this product and where it does not. You experiment. You try new tools, new workflows, new ways to compress the loop between idea and working code. You share what works and discard what doesn't. What We're Looking For Must have Strong C/C+

About SiPhox Health SiPhox is a series B-stage startup building frictionless blood testing for AI healthcare. We combine silicon photonics, microfluidics, embedded systems, and semiconductor-grade manufacturing to quantify multiple biomarkers in minutes on a coffee-maker-sized device. Our goal is to build the first mass-market photonic blood analyzer and dramatically expand access to precision diagnostics. We are already in the market serving 10s of thousands of customers with a category-leading mail-in blood test, with 3x YoY revenue growth. Our mission is simple but ambitious: make healthcare proactive instead of reactive by enabling people to measure their health frequently, easily, and affordably. The Role We're hiring a Director of Finance to run finance the way a great operator runs a factory — close to the metal, suspicious of every recurring line item, and ruthless about cash. This is not a fundraising-deck role. It's not a controller role. It's a wartime operating role for someone who treats burn rate like oxygen, knows every vendor and headcount line by name, and protects each dollar as if it were their own — while still moving fast enough to enable aggressive execution. Hardware companies bleed cash quietly: through inventory creep, engineering sprawl, duplicated tooling, low yields, vendor sprawl, unused software, and over-spec'd infrastructure. Your job is to see those leaks before they become floods, and to build a culture of capital discipline without creating bureaucracy. You report to the CFO and partner daily with engineering, operations, and supply chain. You will spend time on the manufacturing floor, not just in spreadsheets. What You Will Own Cash and capital efficiency Runway, burn multiple, and cash forecasting as live operating instruments — not quarterly artifacts Hard scrutiny on every recurring expense, vendor, contract, and headcount addition Aggressive negotiation with suppliers, landlords, contractors, and software vendors A defensible "no" when spending doesn't earn its keep — delivered without slowing the team Hardware unit economics COGS, BOM, contribution margin, and yield economics down to the SKU and panel level Inventory turns, aging, scrap, and reagent usage as managed metrics, not reported ones Pricing strategy and margin discipline as the product scales Manufacturing ramp modeling: cost-down curves, learning rates, capacity vs. demand Operational finance Embedded in engineering, ops, and supply chain — not adjacent to them Procurement gates on capital expenditure and tooling decisions SKU discipline, vendor concentration limits, and standardization wherever feasible Hiring efficiency: ROI per role, not just headcount plans Systems and infrastructure A modern fintech stack (Ramp, Gusto, and beyond) wired into an ERP/MRP backbone Real-time financial visibility for leadership instead of month-end retrospectives Automation over headcount wherever a process can be codified Reporting and dashboards that actually drive decisions Burn multiple, gross margin by panel, inventory aging, scrap and yield, reagent usage, vendor spend concentration, runway sensitivity, hiring efficiency, instrument payback Monthly leadership package and board materials that tell the operating truth, not the marketing story What We're Looking For Must have 7–10 years of progressive finance experience, with meaningful time at venture-backed hardware or manufacturing companies in the ~50–300 person range Demonstrated experience managing cash in a constrained environment — you've cut burn without breaking execution Deep cost accounting and hardware unit economics fluency (BOM, COGS, yield, contribution margin, inventory) Strong FP&A and operational finance — you build the model and own the operating cadence around it Comfortable challenging spending decisions across engineering and ops, with the credibility to make it stick Systems mindset: ERP/MRP, BOM management, procurement controls, inventory discipline Bac

About SiPhox Health: SiPhox is embarking on an ambitious effort to make Healthcare 3.0 a reality. We provide high-precision diagnostic tools and at-home blood testing kits, making frequent and affordable healthcare more accessible. Our mission is to improve patient outcomes through innovative diagnostic solutions. Position Summary: We’re looking for a lightning-fast builder who thinks from first principles and thrives on turning novel ideas into polished, production-ready software. You have the technical depth to architect distributed AI pipelines, the curiosity to experiment with new models and frameworks, and the discipline to ship code that is both reliable and elegant. If you love owning problems end-to-end, moving at high velocity, and measuring success by the real-world health impact of your work, SiPhox may be the right place for you. What you will do Design, Build, Ship: Take full ownership of the product roadmap. You’ll lead the design and implementation of features that scale across our platforms. Collaborate & lead: Partner with clinical and sales teams to translate product requirements into beautiful, shippable products. Own the Experience: Ensure every state of every feature is bulletproof. You’ll champion a rigorous testing culture that prioritizes both functional reliability and aesthetic elegance. Minimum qualifications BS (or equivalent experience) in Computer Science, Engineering, Mathematics, Physics, Cognitive Science, design, or similar. A Portfolio: A track record of designing and shipping production-level software where you owned both the UI/UX and the code. We want to see products that are as technically sound as they are beautiful. 10x Builder: You are an AI-native developer / vibe-coding power user. You constantly experiment with the latest LLM to ship production-grade code at pace. Product Instinct: A proven track record of shipping software that isn't just functional, but intuitive. You can translate complex clinical data into a clean, actionable user experience. Communication: Ability to articulate technical trade-offs to engineers while clearly explaining product decisions to clinical and sales stakeholders. How we work Bias for action: We expect you to prototype in hours, not weeks. If you can ship beautiful, reliable software outrageously quickly, we will give you total autonomy. Extreme Ownership: You will be responsible for products end-to-end: design → implementation → testing → observability and testing in production. You own the outcome, not just the task. Benefits Compensation package with stock options and benefits, including high-end gym membership Opportunities for professional growth and development Work in a dynamic, innovative environment with cutting-edge technology