SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
GenLogs is a transportation-technology company building next-generation truck intelligence through a nationwide network of sensors and proprietary data. The company delivers real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies, operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment.
As Director of Engineering for the Integrated Sensor team, you will lead the engineering organization responsible for building, deploying, and scaling the hardware and software systems at the heart of GenLogs' sensing network. This is a cross-disciplinary people leadership role spanning hardware, embedded/edge software, and cloud/software platforms.
Key responsibilities include:
- Lead, mentor, and develop a multidisciplinary engineering team spanning hardware, embedded/edge software, and software engineering
- Set technical direction and establish strong engineering practices
- Ensure the organization can deliver reliable products at scale
- Work closely with Product, Deployment, Data Science, and company leadership to translate product strategy and real-world operational requirements into an effective engineering roadmap
- Create the structure, processes, and technical foundation needed to move quickly without sacrificing reliability, quality, or long-term scalability
- Operate at the intersection of people, technology, and physical-world systems
The Engineering team at GenLogs builds end-to-end systems powering the country's most advanced commercial-vehicle sensing and intelligence network. Engineers develop everything from roadside hardware and embedded software to computer vision pipelines, distributed cloud infrastructure, and real-time data services. The team partners closely with cross-functional partners to turn complex, real-world requirements into scalable systems that function under demanding conditions and national-level workloads.
