Derq

Derq is an MIT spinoff that uses AI to power an award-winning predictive platform, help eliminate crashes and create safer and smarter roads

11-50 employees
Automotive
Private Company

Remote Work Available

This company offers remote work opportunities.

Open Positions3

GuadalajaraJaliscoMexico. Buenos Aires+2 more locationsContractAI Traffic SafetyPosted
  • Collaborate with AI development and product teams to design effective test plans and test cases
  • Strategize evaluation methodologies, gathering data and evaluation reporting
  • Perform data analytics on large datasets
  • Monitor and track anomalies within product’s content and statistics
  • Train and deploy ML models to help boost product performance
  • Create and maintain detailed documentation of test processes, methodologies, and findings
  • Keep up to date with advancements in the field to optimize internal processes
  • Interface and coordinate with Engineering team
PythonSQLJavascript+4 more
Showing 1 of 3 positions

About Derq

Derq, an MIT spinoff, pioneers AI-powered intelligent transportation systems. Your work will directly eliminate road fatalities and advance smart cities. The award-winning technology is live across 17 U.S. states, Canada, and the GCC. Serving 30+ cities, Derq uses AI, computer vision, and sensor fusion. This detects, tracks, classifies, and predicts road user behavior in real-time. Derq holds 20 patents, transforming mobility through real-time predictive analytics. Join Derq to craft the future of safer, smarter urban environments.

How We Work

Derq fosters an environment of innovation, leveraging the latest AI and technology. You will work remotely with minimal oversight in certain roles. This requires proven decision-making skills and a self-driven approach. Teams collaborate globally, with some roles requiring 4-5 hours daily overlap. On-call support is sometimes needed, emphasizing reliability. Derq values an entrepreneurial mindset and a team-oriented approach.

Engineering at Derq

Engineers at Derq solve complex challenges in AI-powered traffic safety and smart infrastructure. You will work with a robust tech stack including Python, AWS/GCP/Azure, and Linux/Ubuntu environments. The team deploys edge and cloud solutions to make intersections and highways safer. This involves computer vision, machine learning, and sensor fusion for real-time predictive analytics. You'll contribute to patented technology that collects and analyzes data from connected sensors. This includes cameras, radar, and traffic signal controllers. Your work will predict and prevent road incidents, enhancing road safety. You will utilize Bash scripting and networking fundamentals, including SSH, TCP/UDP, routing, and NAT. The focus is on stable, optimal performance and continuous improvement for deployments. You will ensure configurations are consistent, compliant, and repeatable across various sites. This requires strong troubleshooting skills and a practical approach to resolving system issues. You'll use tools like Google Tag Manager, LetsEncrypt, and DoubleClick.Net. Your efforts will directly impact the reliability and efficiency of intelligent transportation systems.

Why Join Us

  • Eliminate road fatalities and build safer cities with AI-powered solutions.
  • Work on award-winning, patented technology deployed in 17 U.S. states, Canada, and the GCC.
  • Contribute to real-time predictive analytics, enhancing road safety and optimizing traffic flow.
  • Join a growing MIT spinoff backed by investors like AT&T Ventures and Techstars.
  • Shape the future of mobility by deploying edge and cloud solutions.

Tech Stack

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