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Senior Firmware Engineer, Edge AI / NPU Runtime

tacit • United State
Visa Sponsorship
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Architect and optimize production-grade on-device intelligence for next-generation neurotech hardware. Own the embedded AI stack from realtime sensor acquisition and preprocessing to NPU/DSP-accelerated inference. Requires 5+ years of experience in embedded firmware and deploying ML models on resource-constrained platforms.

Key Highlights
Own the deployment and optimization of ML models on NPUs, DSPs, and MCUs
Build low-latency realtime sensor-to-inference pipelines using DMA and deterministic scheduling
Optimize end-to-end energy consumption and power management for battery-powered hardware
Key Responsibilities
Deploy ML models onto embedded targets using NPUs, DSPs, MCUs, or other hardware accelerators.
Optimize inference latency, memory footprint, throughput, and power consumption on production hardware.
Build realtime sensor-to-inference pipelines including acquisition, timestamping, and feature extraction.
Design low-latency data movement using DMA, interrupts, ring buffers, and deterministic scheduling.
Implement low-power firmware techniques such as sleep states, duty cycling, and subsystem power gating.
Debug firmware across sensors, accelerators, and power systems using lab tools and telemetry.
Technical Skills Required
C/C++/Rust RTOS Embedded ML
Benefits & Perks
Competitive equity package
Comprehensive medical, dental, and vision insurance
Unlimited PTO
Visa sponsorship
4% 401k matching
Nice to Have
Experience with TensorFlow Lite Micro, ONNX Runtime, CMSIS-NN, Qualcomm QNN/SNPE, ARM Ethos-U/Vela, TVM, or ExecuTorch
Experience with quantized inference, fixed-point math, and SIMD/DSP optimization
Experience with streaming or time-series ML workloads such as biosignals or sensor fusion
Experience shipping battery-powered consumer electronics, wearables, or neurotech products

Job Description

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.We’re looking for a
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