ordr~29d ago

Forward Deployed Engineer - Entry Level

United States·Santa Claraentry

OtherForward Deployed Engineer

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Quick Summary

Overview

Ordr Inc., we secure the connected world by bringing visibility, intelligence, and control to every device — from life-saving hospital equipment to robotic arms on factory floors, ATMs in banks, and IoT systems in airports.

Requirements Summary

Education: BS or MS in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or related field Technical Skills: Strong foundation in machine learning, data analysis, and applied AI.

Technical Tools

awsdockerhuggingfacekuberneteslangchainpythonpytorchscikit-learntensorflowci-cdcustomer-successcybersecuritydata-analysismachine-learningnetworkingrest-apis

Responsibilities

~1 min read

→Collaborate with customers to understand their specific environments, data, and operational needs, translating them into effective AI deployment strategies.
→Deploy, configure, and optimize Ordr’s AI-powered platform to meet each customer’s unique use cases — from hospitals and factories to banks and airports.
→Combine your programming skills and AI/ML knowledge to tailor, automate, and enhance system integrations.
→Work with Ordr’s AI research and engineering teams to fine-tune models, validate results, and ensure production readiness.
→Build and manage end-to-end ML pipelines for data ingestion, model deployment, and performance monitoring.
→Present technical findings, results, and demos to both internal stakeholders and customer teams.
→Gather feedback from real deployments to inform future product and AI model improvements.

Requirements

~1 min read

BS or MS in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or related field

Strong foundation in machine learning, data analysis, and applied AI.
Proficiency in Python and familiarity with key AI/ML libraries (PyTorch, TensorFlow, Scikit-learn).
Experience with AI development and deployment tools, including:
- MLflow, Vertex AI, or AWS SageMaker for experiment tracking and deployment
- Hugging Face or LangChain for LLMs and generative AI
- Docker, Kubernetes, REST APIs, and CI/CD workflows
Understanding of networking, cybersecurity, or IoT data is a plus.
Comfort with scripting, debugging, and building automations in customer environments.

Unique blend of coding ability and customer empathy — able to translate complex technical concepts into real-world value.
Clear, confident communicator who enjoys collaborating with both engineers and customer stakeholders.
Highly motivated, adaptable, and eager to learn from fast-paced, real-world challenges.
Strong analytical mindset and hands-on problem-solving approach.
Passion for applying AI to make a tangible difference in large-scale, real-world systems.

What We Offer

~1 min read

✓Work directly with global customers — from world-class hospitals to industrial and financial leaders — deploying AI solutions that protect their most critical assets.

✓Be part of a cross-functional AI team bridging research, engineering, and customer success.

✓See your work move from prototype to production and real-world impact.

✓Learn from top-tier AI and cybersecurity professionals.

✓Competitive salary, stock options, and comprehensive benefits.