Sr Engineering Manager – Intelligent Edge, Firmware & Hardware Innovation
BusPatrol · Austin, TX · 4 wk ago
HybridInformation TechnologyFull-time
Key Responsibilities
- 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
- 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
- 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 ecosystem
- 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
- 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