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Manager, Firmware Engineering

Other Full-time Permanent US

Job details

$154,700—$260,000 Salary
US Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead the team that turns trained AI models into reliable firmware running on millions of connected devices in the field. The role blends hands-on technical leadership with people management, driving edge AI strategy and shipping safety-critical features that protect drivers and workers in real time.

Responsibilities - Lead a team of roughly five firmware and machine learning engineers who build, optimise, and deploy AI models on fleet and industrial devices - Provide hands-on technical leadership by contributing directly to the design, implementation, and optimisation of high-performance production systems - Set the technical bar for edge ML and embedded systems, guiding architecture decisions on latency, power, memory, and model performance - Partner with Product, Hardware, and full-stack teams to take features from concept through deployment and continuously improve them - Shape the engineering roadmap, working with leadership on quarterly plans that balance product ambition with engineering health - Build a team culture of ownership, accountability, and continuous improvement with a high bar for execution quality - Scale organisational culture and cross-functional relationships required to launch low-latency, high-quality hardware programs at scale

Requirements - Track record leading firmware or embedded engineering teams that ship to production hardware at scale - Deep experience with edge ML deployment, including optimisation for constrained devices - Strong architecture skills across latency, power, memory, and model performance tradeoffs - Demonstrated ability to partner across product, hardware, and software teams to deliver integrated products - Experience mentoring engineers and growing high-performing teams - Comfort operating in a fast-paced environment shipping safety-critical features

Nice to have - Experience integrating high-performance camera systems and real-time edge computing into consumer or industrial hardware products

Benefits and work setup - Remote position open to candidates residing in the US; relocation assistance is not provided - Mention of professional development stipend, comprehensive health and parental leave plans, and other benefits in the source material - Flexible working model with in-office options where collaboration needs require it

Skills detected in the listing

GoRustC++SQLTableauMachine Learning
Detected Sep 29, 2026
Last verified Sep 29, 2026

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