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BusPatrol

Sr Engineering Manager – Intelligent Edge, Firmware & Hardware Innovation

Sorry, this job was removed at 11:40 a.m. (CST) on Thursday, Aug 06, 2026
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In-Office
Austin, TX, USA
175K-190K Annually
Senior level
In-Office
Austin, TX, USA
175K-190K Annually
Senior level

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Lead strategy, architecture, and delivery for next-generation edge AI platforms, embedded firmware, and hardware. Build and scale multidisciplinary engineering teams, drive cloud-to-edge AI transformation, ensure safety/compliance in vehicle-mounted environments, and manage vendor and research partnerships to deliver optimized, real-time edge AI solutions.
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Sr Engineering Manager – Intelligent Edge, Firmware & Hardware Innovation

Location - Austin TX

Overview

At BusPatrol, we’re transforming how communities protect students and enforce traffic safety—through intelligent, real-time video analytics and automated enforcement. A cornerstone of this mission is advancing the shift from cloud-dependent AI to intelligent edge computing, where milliseconds matter.

We are seeking a Sr. Engineering Manager – Intelligent Edge, Firmware & Hardware Innovation to shape and scale the future of our next-generation Edge AI platforms, embedded firmware, and hardware systems. In this role, you will set the strategic direction, build a world-class engineering organization, and deliver breakthrough technologies that enable safety-critical decisions in real-world environments.

As a engineering leader, you will not only lead engineering execution but also influence company strategy, partner with executives, and drive innovation across the full lifecycle—from architecture to deployment—on a global scale.

Key Responsibilities

Strategic Leadership & Vision

  • Define and drive the multi-year technology vision and roadmap for intelligent edge computing, firmware, and hardware innovation.

  • Translate business strategy and customer needs into scalable engineering priorities and architectures.

  • Represent engineering in executive forums, influencing product strategy, investments, and partnerships.

Organization Building & Scale

  • Build, scale, and mentor high-performing teams across embedded systems, edge AI, and hardware development.

  • Establish engineering best practices, development frameworks, and processes to ensure delivery at scale.

  • Attract and develop top global talent while fostering a culture of innovation, inclusion, and accountability.

Innovation & Architecture

  • Oversee architecture and design of next-generation embedded AI pipelines, firmware platforms, and purpose-built hardware for real-time safety applications.

  • Champion cloud-to-edge AI transformation, ensuring models are deployable, optimized, and reliable in constrained environments.

  • Drive evaluation and adoption of cutting-edge AI accelerators, toolchains, and hardware ecosystems.

Execution & Delivery

  • Ensure engineering programs meet strict performance, safety, and compliance requirements in mobile and vehicle-mounted environments.

  • Oversee cross-functional delivery of high-impact initiatives spanning AI/ML, product, cloud, and operations.

  • Develop metrics and KPIs to measure engineering performance, quality, and business impact.

External Partnerships & Influence

  • Build strong relationships with hardware/accelerator vendors, research partners, and strategic technology providers.

  • Act as a thought leader in the industry, representing BusPatrol in external forums, partnerships, and innovation ecosystems.

Required Qualifications

  • 10+ years of engineering experience with significant expertise in embedded systems, firmware, hardware, or edge AI.

  • 3+ years of engineering leadership leading firmware engineering.

  • Proven experience building and scaling multi-disciplinary engineering organizations.

  • Expertise with embedded AI ecosystems and accelerators (HailoRT, TensorRT, OpenVINO, TFLite, etc.).

  • Strong background in firmware/embedded development (C/C++, Python, Yocto, cross-compilation).

Preferred Qualifications

  • Familiarity with hardware design and video/image processing pipelines (GStreamer, OpenCV, FFmpeg).

  • Exceptional communication, executive presence, and ability to influence across global stakeholders.

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field.

Why Join Us

  • Lead innovation at the intersection of edge AI, firmware, and hardware.

  • Shape the strategy and execution of intelligent, distributed AI systems that protect millions of students daily.

  • Build and scale a world-class engineering organization solving safety-critical challenges.

  • Collaborate with global leaders in AI/ML, cloud, hardware, and operations.

  • Drive breakthrough technologies where milliseconds save lives.

BusPatrol Austin, Texas, USA Office

Austin, United States

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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