Senior Software Engineer (ML Infrastructure)
Motive
Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the role:
You’ll be part of a high-impact, highly collaborative team — building the backbone of ML/GenAI systems, while operating with the professionalism and scalability mindset of large engineering orgs, and the flexibility and culture of a modern tech company.
What You’ll Do
- Lead design and implementation of scalable backend systems supporting AI/ML workflows and GenAI-based agents.
- Architect tools and platforms for model training, deployment, orchestration, monitoring, and observability.
- Partner with ML scientists, data engineers and product leaders to define and deliver integration of AI features into production.
- Drive reliability, performance, observability, and cost-efficiency in ML infrastructure at scale (AWS, Kubernetes, containers, etc.).
- Mentor juniors, set best practices, enforce engineering standards, and contribute to architectural decisions across the stack.
What We’re Looking For
- 5-10 years of strong software engineering experience, especially in backend or infrastructure systems (distributed systems, APIs, microservices).
- Robust coding experience (preferably Python) and solid familiarity with AWS or other cloud platforms. Comfortable with adopting and evaluating new frameworks/tools as needed.
- Prior experience working with ML/AI systems, MLOps, pipelines or similar infra is strongly preferred.
- Excellent demonstrated skills in system thinking, debugging, performance optimization and reliability engineering.
- Strong collaborator and communicator, able to partner across functions and lead technical discussions.
- Bachelor’s degree (or higher) in CS, AI/ML or equivalent experience.
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
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