
Senior Distributed Systems Engineer
5 days ago
Motive’s mission is to empower teams to work more safely and productively. For the first time, safety, operations, and finance teams can manage their drivers, vehicles, equipment, and fleet-related spend in one system.
Combining industry-leading AI with a comprehensive platform, Motive gives you complete visibility and control, significantly reducing manual workloads by automating and simplifying tasks.
The company serves over 100,000 customers across various industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
About the Role:You will lead the effort to build systems that enable AI R&D teams to deliver secure, highly scalable, distributed services. You will leverage technology such as Kubeflow, Kubernetes, Helm, Terraform, Python to build inference systems, infrastructure, and training pipelines.
Key Responsibilities:- Define the direction for the team
- Prioritize ML Platform initiatives
- Enable teams to build features at scale
- Create deployment pipelines and take code from git to production
- Build infrastructure for fast, robust automated testing and validation
- Improve performance and reliability of existing systems
- Coach junior engineers
- B.S. or M.S. in Computer Science or related field
- 3+ years software development experience
- Experience improving ML infrastructure with multiple stakeholders
- Working knowledge of AWS services and technologies
- Experience with Kubeflow pipeline development and management
We value diversity and inclusion in the workplace and welcome applicants from different backgrounds.
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