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LVT
Remote
Source: LVT careers · View original posting
From LVT's posting. “We” and “our” refer to the employer.
LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units
, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.
We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.
Named one of the Financial Times’ Fastest Growing Companies 2025 and
#10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025
, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.
As a Senior Staff Embedded Software Engineer, you will provide overall technical leadership for our embedded cameras ecosystem, owning the architecture, design, and hands-on implementation of features for our next-generation video streaming products. You will drive strategic technology initiatives, shaping the engineering organization while collaborating closely with hardware, cloud, and product teams to guide our embedded software roadmap.
Your team vertically owns embedded camera development—from device-level firmware and encoding to storage, streaming, and analytics. Operating within a JDM model, you will leverage custom Yocto distributions to build robust, scalable edge devices that power LVT’s intelligent solutions.
This role can be fully remote, or based on-site at HQ in Utah or in Seattle. Regular travel is expected to our Headquarters in American Fork, Utah (if remote) as well as to our Joint Design Manufacturing (JDM) partners.
ROLE RESPONSIBILITIES
Own and drive architectural decisions for LVT's embedded camera platforms, ensuring designs hold up over multi-year horizons and support both current capabilities and future technical bets.
Architect and govern the software running directly on edge devices, as well as the underlying infrastructure for on-camera encoding, video storage, streaming, and retrieval.
Serve as the primary technical authority in a Joint Design Manufacturing (JDM) model, keeping cross-functional work aligned across third-party software partners and internal hardware teams.
Broker alignment by working effectively with Technical Program Managers (TPM) to collaborate seamlessly across Hardware, Product Management (PM), and other Software teams to ensure cohesive product delivery from the edge to the cloud.
Drive rigorous architecture and code reviews, manage complex schedule planning, and proactively mentor engineers to raise the technical floor of the organization.
Direct the integration of on-camera analytics that turn raw video into actionable signals, including model deployment to the SoC's inference accelerator and managing the memory, latency, and accuracy trade-offs involved.
OUR IDEAL CANDIDATE
Proven track record as a Staff or Senior Staff Embedded Software Engineer capable of navigating high ambiguity and turning complex architectural problems into scoped, prioritized work (10+ years of total experience).
Deep expertise in embedded Linux environments (BSP, device drivers, HAL, bootloaders, system bring-up) and custom Yocto distributions, complemented by a foundational understanding of low-level hardware and MCU/RTOS.
Expert-level proficiency in embedded C and C++. Experience with Go is a plus.
Demonstrated ability to debug complex hardware/software interactions using oscilloscopes, logic analyzers, protocol analyzers, and JTAG debuggers.
Comprehensive experience designing systems involving video, audio, image processing, and streaming technologies (H.264/H.265).
Demonstrated success driving technical outcomes within a JDM framework, evaluating vendor capabilities, and holding third-party partners to high engineering standards.
Experience architecting edge-based camera analytics and deploying resource-efficient computer vision or Edge AI models.
Recognized as a technical authority whose judgment generalizes across teams; a leader who actively shapes engineering culture, drives schedule planning, and raises the talent floor.
Familiarity with AI-assisted development tools to enhance design, coding, and automated testing across the software development lifecycle.
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