GridMatrix

πŸ‘₯ 1-10πŸ’° $2,993,336 Seed 9 months agoArtificial Intelligence (AI)LogisticsInternet of ThingsMachine LearningAutonomous VehiclesπŸ’Ό Private Company
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GridMatrix builds AI-powered software that helps cities optimize traffic flow, reduce emissions, and enhance safety. We leverage existing infrastructure like intersection cameras to provide real-time insights and analytics, enabling efficient and secure urban environments. Our solutions are making a tangible difference in cities globally, mitigating emissions from millions of vehicles and detecting accidents in real-time. We're a rapidly growing startup backed by leading venture capitalists. Our engineering team utilizes a modern tech stack, including Google Cloud, AWS (as indicated by job description), Euro, and Wix, and practices Agile methodologies. We foster a collaborative and remote-friendly work environment, prioritizing innovation and impactful results. We value a lifelong learning mentality and encourage our engineers to build market-leading products that contribute to a more sustainable and efficient future. We're a small but mighty team with a big vision. Founded in 2021, we are already deploying our solutions in major cities and ports across the US. We offer a competitive compensation and benefits package that includes unlimited PTO, 401k matching, and comprehensive healthcare coverage. We're looking for talented, mission-driven individuals to join us in shaping the future of smart cities. GridMatrix is an equal opportunity employer committed to fostering a diverse and inclusive workplace.

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πŸ“ United States

🧭 Full-Time

πŸ” Digital infrastructure

  • 6+ years of experience.
  • BA/BS in an analytical or engineering discipline.
  • AWS Certified Solutions Architect – Professional.
  • Experience with AWS/enterprise cloud and container orchestration technologies.
  • Experience with cost optimization for AWS EC2 and other services.
  • Experience architecting/engineering data pipelines and MLOps pipelines.

  • Work closely with perception, data science, and software engineering SMEs.
  • Optimize the company’s data pipeline and cloud infrastructure.
  • Manage customer deployments and architecture for cost and performance.
  • Build pipelines for machine learning and analytics.
  • Measure the impact of new features across areas.

AWSProject ManagementAgileAWS EKSKafkaKubernetesMachine LearningPeople ManagementProduct DevelopmentData scienceSparkCI/CD

Posted 3 months ago
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