Cloud Solutions Engineer (ML Platform)

• About Neural Concept

We build technology that enables engineers to solve complex design challenges faster and more effectively. Our platform leverages 3D deep learning to transform CAE data into real-world results, helping top companies in automotive, aerospace, and energy streamline their R&D. 

The Role 

We’re looking for a Cloud Solutions Engineer to lead and oversee the technical onboarding and integration of our platform in enterprise environments. You’ll play a pivotal role in deploying our software as a SaaS solution on customer cloud infrastructure (AWS, Azure, GCP) or on-premise (HPC, VM). Your work directly contributes to customer satisfaction and long-term platform adoption.

This is a highly customer-facing role. We value engineers who are not only technically capable but also excellent communicators, proactive problem-solvers, and trusted advisors to our customers.

What You Will Do 

• Lead Deployments: Design and implement robust deployment architectures that align with customer IT environments and business goals.

• Architect Solutions: Assess customer needs and tailor scalable cloud/hybrid/on-premise deployments using Kubernetes, Docker, and cloud-native tooling.

• Customer Engagement: Act as a technical point of contact for customers throughout the deployment process, from architecture to troubleshooting.

• Security & Compliance: Own the process of responding to IT and security questionnaires. Ensure compliance with enterprise security and privacy requirements.

• Collaboration & Feedback: Work closely with internal teams (product, R&D, platform) to continuously improve deployment processes and modularity.

• Documentation & Enablement: Produce high-quality documentation, implementation guides, and internal playbooks.

Who You Are 

• Education: Advanced degree in Computer Science, Engineering, or a related field (or equivalent experience).

• Experience: at least 4 years of hands-on experience deploying enterprise software in cloud and/or HPC environments.

• Mandatory Technical Skills: Strong background in Kubernetes, Docker, and/or Singularity, with production experience.

• Customer-facing Skills: Experience working directly with customers to scope, deploy, and maintain infrastructure.

• Cloud Platforms: Proficient with AWS, Azure, or GCP, including security and networking fundamentals.

• Tools: Familiar with Terraform, OAuth2, SAML, Slurm, PBS, and monitoring tools like Prometheus and Grafana.

• Mindset: A proactive communicator and strategic thinker who thrives in dynamic, interdisciplinary teams.
  

What We Offer  

Important Information 

Start Date: ASAP 

Location: Jersey City (hybrid)

Travel: Occasional travel to customer sites 

How to apply