--- title: 'Cloud Solutions Architect (US) at Neural Concept' canonical: 'https://feeny.ai/job/cloud-solutions-architect-us-neural-concept-new-york-x0pbjrdm491c' type: 'job' last_seen: '2026-09-16' --- # Cloud Solutions Architect (US) at Neural Concept - **Company:** Neural Concept - **Location:** New York, NY / Jersey City, NJ - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-16 - **Last confirmed live:** 2026-09-16 - **Apply:** https://jobs.ashbyhq.com/neuralconcept/8f0ccf2a-9295-48ad-ab3e-295f588927fb ## Job description Neural Concept embeds AI into design and simulation workflows so engineering teams make continuous, data-driven decisions instead of waiting on sequential design–simulation–validation cycles. None of that matters until the platform is running inside the customer's environment, on their infrastructure, under their rules. That is this role. You take an enterprise customer and make the platform real for them: architected, deployed, integrated, cleared by their security organisation, and stable enough that their engineers stop thinking about it. You own that outcome end to end for named accounts, as their primary technical counterpart. ## What you will do - The deployment, from the first architecture conversation through go-live and into steady-state operation. - Its integration with the customer's identity, data and engineering systems, and the infrastructure and model serving layer beneath it. - The relationship with their IT, security and platform teams: assessments, architecture reviews, and the call when something breaks. - The diagnosis when it does break, including when the cause sits outside our own software. - The runbooks, post-mortems and playbooks that make the next deployment easier, and the feedback loop into Product. Where you will do it Managed Kubernetes across the major clouds. On-premises and fully air-gapped clusters with no route to the internet, GPU infrastructure, self-hosted model serving. Customer HPC environments, schedulers, and shared storage under real load. If installing software with no internet access, on hardware you do not control, reads as the interesting part of the job rather than the obstacle, this will suit you. ## Who you are You will often be the only Neural Concept engineer in the room. We are looking for someone with: - 6+ years deploying and operating enterprise software in production, two of them in environments you did not control. - Kubernetes at configuration depth: how chart values become rendered manifests, and why a workload will not start. - Identity and SSO fundamentals: OIDC and SAML, clients and credential rotation, redirect URIs, group-to-role mapping. - Linux, networking and TLS: DNS, routing, ingress and egress, certificate chains and interception proxies. - Kubernetes storage: persistent volumes and CSI, access modes, diagnosing shared storage that degrades under load. - A production deployment you personally carried and then supported. Name it, date it, tell us what went wrong. - Professional customer-facing English, and willingness to travel and work your customers' hours. Also valuable: regulated or air-gapped deployments · private registries and image mirroring · GPU scheduling and LLM serving · enterprise IdP administration · Terraform and GitOps · Prometheus and Grafana · HPC schedulers · ISO 27001 evidence · Python · PLM, CAD or CAE exposure. You Get - Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. - Benefit from a competitive salary and rewarding opportunities as we continue to scale. - Thrive in a collaborative, multicultural environment where your work is visible and recognized. - Develop professionally alongside talented colleagues who share knowledge freely and support one another. - Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. - Balance life and work with remote work or hybrid model (20% remote) —we care about results, not rigid schedules. - Enjoy paid vacations, healthcare (medical/vision/dental), 401K matching Where You Will Be - Jersey City office or West Coast; - Travelling: This position will require travelling to customer locations in the US. - Start date: ASAP - Eligibility: ITAR clearance required We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive. ## About Neural Concept ## Company Overview - **One-liner**: Neural Concept builds an AI-first engineering platform that embeds physics-aware intelligence into design and simulation workflows, enabling faster and more efficient product development. - **Entity Type**: Private (Series C) - **Headquarters**: Lausanne, Switzerland - **Founded**: 2018 - **Founders**: Dr. Pierre Baqué (CEO), Dr. Jonathan Donier (Chief Scientific Officer), Théophile Allard (CTO), Pascal Fua (Co-Founder), François Fleuret (Co-Founder) ## Core Business - **Primary industry**: AI-powered engineering software for product design and simulation. - **Target customers**: B2B – global OEMs and tier-1 suppliers in automotive, aerospace, energy, consumer electronics, semiconductors, and defense. - **Mission**: “Revolutionize how customers design their products by speeding up R&D cycles, augmenting product performance and solving next engineering challenges.” [neuralconcept.com](https://www.neuralconcept.com/who-we-are) ## Products & Services - **[Neural Concept Platform]**: A SaaS platform that integrates with existing CAD (CATIA, SolidWorks, NX) and simulation tools (StarCCM+, Fluent, Abaqus, Ansys) to provide real-time AI-driven insights for aerodynamics, thermal management, structural mechanics, electromagnetics, crash, manufacturing, and more. [neuralconcept.com](https://www.neuralconcept.com/) ## Market Standing - **Valuation/Market Cap**: Not disclosed (most recent Series C amount: $100M, raised ~6 months ago) [cbinsights.com](https://www.cbinsights.com/company/neural-concept) - **Key Metric**: Total funding of $137.4M (14 rounds) and annual revenue of $10M (as per LinkedIn estimates). [linkedin.com](https://www.linkedin.com/company/neuralconcept) - **Notable Investors/Partners**: Goldman Sachs, Forestay Capital, D. E. Shaw Group, Aster, and others. [cbinsights.com](https://www.cbinsights.com/company/neural-concept) - **Growth Signals**: 80% YoY headcount growth (94 employees), 433% YoY increase in job postings (32 active roles), expanding into 10 countries including USA, UK, Germany, India, South Korea. [linkedin.com](https://www.linkedin.com/company/neuralconcept) ## Competitive Advantages - **Physics-aware AI** that understands engineering constraints, not just generic machine learning. - **Deep integration** with major CAD/CAE tools (CATIA, SolidWorks, NX, Ansys, etc.), embedding directly into existing workflows. - **Trusted by 50% of world’s leading OEMs** (e.g., Subaru, Eaton, Visa Cash App RB Formula One Team). [neuralconcept.com](https://www.neuralconcept.com/) ## Strategic Focus - **Scale globally** – offices in Switzerland, Germany, USA, South Korea, and growing presence in UK, India, UAE. - **Deepen AI capabilities** across all physics domains (aerodynamics, thermal, e-motor, durability, manufacturing, crash). - **Expand customer base** beyond automotive into aerospace, energy, and defense. ## Why Work Here - **Culture**: Values of passion, excellence, respect, transparency, and creativity. [neuralconcept.com](https://www.neuralconcept.com/who-we-are) - **Work model**: On-site assessment day required; offices in Lausanne (HQ), Munich, New York, and Asia-Pacific. Remote/hybrid policy not explicitly stated but likely flexible for some roles. - **Engineering culture**: Deep technical challenges at the intersection of AI and engineering; team includes alumni from EPFL, ETH Zürich, and ex-employees from Altair, Siemens, and McKinsey. - **Growth opportunity**: Rapidly scaling company (80% headcount growth) with clear career progression and exposure to world-class engineering teams. - **Hiring process**: Culture interview → technical interviews (code challenge/home project) → on-site assessment day → offer. [neuralconcept.com/careers](https://www.neuralconcept.com/careers) ## Sources 1. [neuralconcept.com](https://www.neuralconcept.com/) – Official website 2. [neuralconcept.com/who-we-are](https://www.neuralconcept.com/who-we-are) – Team and mission 3. [neuralconcept.com/careers](https://www.neuralconcept.com/careers) – Hiring process and culture 4. [linkedin.com/company/neuralconcept](https://www.linkedin.com/company/neuralconcept) – LinkedIn company page 5. [cbinsights.com/company/neural-concept](https://www.cbinsights.com/company/neural-concept) – Funding and investor details ## Other roles at Neural Concept - [Cloud Solutions Architect](https://feeny.ai/job/cloud-solutions-architect-neural-concept-lausanne-va5zk3my7kfv) — Lausanne - [Chief Marketing Officer](https://feeny.ai/job/chief-marketing-officer-neural-concept-new-york-m3dgw0endmmw) — New York, NY / Jersey City, NJ - [HR Operations Specialist](https://feeny.ai/job/hr-operations-specialist-neural-concept-new-york-5xv0xwy00smz) — New York, NY / Jersey City, NJ - [Senior CAE and AI Expert](https://feeny.ai/job/senior-cae-and-ai-expert-neural-concept-lausanne-sar5p5cqme0d) — Lausanne - [VP of Engineering](https://feeny.ai/job/vp-of-engineering-neural-concept-lausanne-yqrvtntwp8n8) — Lausanne - [AI Workflows Engineer](https://feeny.ai/job/ai-workflows-engineer-neural-concept-lausanne-cthy7gzhzmc6) — Lausanne - [Account Executive - US, West Coast](https://feeny.ai/job/account-executive-us-west-coast-neural-concept-west-coast-san-francisco-ca-bay-1h9s8w3j7xcy) — West Coast / San Francisco, CA / Bay Area - [Solutions Engineer - US](https://feeny.ai/job/solutions-engineer-us-neural-concept-new-york-htpy4fd3y2fq) — New York, NY / Jersey City, NJ - [EV Powertrain: Applied AI Engineer](https://feeny.ai/job/ev-powertrain-applied-ai-engineer-neural-concept-lausanne-53dmet6z0vcq) — Lausanne - [Solutions Engineer - UK](https://feeny.ai/job/solutions-engineer-uk-neural-concept-london-rec7d7fwcn38) — London, United Kingdom