Senior Software Engineer (ML Infrastructure)

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 100000 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.

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About the role:

Youll 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 Youll 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 Were 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.
• Bachelors degree (or higher) in CS AI/ML or equivalent experience.

Creating a diverse and inclusive workplace is one of Motives core values. We are an equal opportunity employer and welcome people of different backgrounds experiences abilities and perspectives.

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The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.It is Motives policy to require that employees be authorized to receive access to Motive products and technology.

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