Location: San Francisco Bay Area or Remote
Location: San Francisco Bay Area (Hybrid) or Remote
Join an ambitious team revolutionizing embedded AI at femtoAI! We’re delivering state-of-the-art deep learning solutions to run on our company’s custom hardware. The Sparse Processing Unit (SPU) chip leverages neural compression techniques like sparsity to push the envelope on performance and efficiency. As a leading startup in embedded AI, we’re redefining what’s possible in everyday devices like earbuds, hearing aids, home appliances, vehicles, and beyond.
We’re building the next generation of AI-enabled embedded systems, and we need an embedded engineer to own the firmware that powers our system-on-chip (SoC) and reference designs. You’ll be working with a first-of-its-kind novel AI co-processor, and your designs will be deployed on thousands of end-devices that include femtoAI’s Sparse Processing Unit (SPU) chip!
While your primary responsibility will focus on firmware development for the SPU’s RISC-V management processor and host microcontrollers, you will also participate in internal and external design reviews for many hardware and software projects, implement new product features, build experimental demos, and design test benches for our bleeding edge test chips.
The candidate must have:
The ideal candidate will also have:
femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
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