N

Neural Concept

3D deep-learning CAD-CAE design optimization

Forward Deployed Engineer

Full-Time
$125k - $200k/yr
Mid
Master's
Detroit, MI, USA+1 moreMore locations: Jersey City, NJ, USA
HybridHybrid work model; travel to customer locations in the US is required.
Solution EngineeringImplementation & Technical Account Management
No H1B Sponsorship

About the job

Requirements
  • Have an excellent understanding of engineering and machine learning; this is a strict requirement.
  • Have experience with simulation.
  • Hold a master's degree in engineering, Applied Mathematics, or Physics.
  • Have strong experience with Python programming and experience with machine learning and deep learning frameworks and libraries.
  • Be able to communicate technical concepts clearly to technical and non-technical stakeholders.
Responsibilities
  • Implement projects with customers’ engineering teams, develop tailored solutions, and analyze project data using Python.
  • Apply deep-learning tools to engineering and physics problems.
  • Deliver proofs of concept demonstrating the technology’s value in CAD, CAE, and manufacturing workflows.
  • Train customer teams to use the NC platform effectively and support adoption of AI in their workflows.
  • Work with the product team to translate customer feedback into product improvements.
  • Travel to customer locations in the United States.
Desired Qualifications
  • Industry experience in CAD or CAE modeling, including CFD or FEM.

About the company

Neural Concept uses 3D deep-learning to improve product design in automotive and aerospace. Its product, Neural Concept Shape (NCS), analyzes designs directly within CAD to provide physics-based insights, guiding designers without the need for meshing and lengthy simulations. This speeds up the design workflow by bridging CAD and CAE teams, reducing iteration time and late-stage failures. The company licenses its technology to clients, integrating into existing design processes, and has partnered with OEMs and Tier 1 suppliers such as Danfoss and Mitsubishi Chemical Group to boost performance and efficiency. Its goal is to help customers cut design lead times by substantial margins (claimed over 90%) and deliver better-performing products faster.

Company Size

51-200

Company Stage

Series C

Total Funding

$137.8M

Headquarters

Lausanne, Switzerland

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 10, 2026 India offices in Bengaluru and Pune deepen access to auto OEMs.
  • June 2026 Seoul launch and Hanwha Ocean collaboration expand APAC commercialization.
  • February 2026 Antolin scaling and the 2025 Series C fund product development and hiring.

What critics are saying

  • Siemens, Ansys, and Nvidia already own engineering workflows, squeezing Neural Concept into a feature.
  • Enterprise deployments require deep integrations; long sales cycles can delay revenue conversion through 2027.
  • If Antolin or Hanwha Ocean standardize alternatives, Neural Concept loses reference credibility and expansion momentum.

What makes Neural Concept unique

  • Physics-aware CAD integration lets Neural Concept move design decisions upstream, not replace them.
  • Antolin, Hanwha Ocean, and MAHLE validate enterprise workflows across automotive and shipbuilding.
  • Twenty-plus OEMs and 140 employees support a focused, domain-specific engineering intelligence platform.

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Benefits

  • Health Insurance
  • Vision Insurance
  • Dental Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Unlimited Paid Time Off
  • Flexible Work Hours
  • Hybrid Work Options
  • Paid Vacation
  • Health Insurance
  • Wellness Program
  • Mental Health Support

Growth & Insights and Company News

6 month growth

2%

1 year growth

0%

2 year growth

-2%
HyperAI
Oct 21st, 2026
Command palette.

Command palette. 14 hours ago European industrial leaders are expanding the use of NVIDIA CUDA-X, Omniverse, Cosmos and Nemotron across engineering, simulation, manufacturing and factory operations, signaling a broad shift toward AI-driven industrial workflows. The moves, highlighted around GTC Berlin, position NVIDIA's open models, acceleration libraries and digital-twin tools as core infrastructure for companies seeking higher productivity, faster innovation and more efficient production. A major element of the announcement is the early-access availability on GitHub of the NVIDIA Factory Operations Blueprint, known as FOX. The blueprint gives developers a path to build always-on factory manager agents that can coordinate work across machines and support specialist tasks such as visual inspection, root cause analysis, report generation and fleet management. These agents can connect to frontier models such as Cosmos and Nemotron, as well as to foundational industrial systems including computer-aided design, product lifecycle management, simulation software, and IT and operational technology platforms. By correlating visual findings with machine logs, they can monitor operations in real time, investigate issues and coordinate responses. Cosmos in-context learning allows agents to adapt using examples and documentation without fine-tuning. Siemens is a central partner in this ecosystem, integrating FOX-based agents into its Intelligence Center X agentic enterprise system to identify root causes and coordinate factory operations, with estimated cost savings of 20 percent. Siemens' Process Preparation X agents also use NVIDIA Cosmos Data Factory tools to generate defect images for circuit-board inspection. At the company's Erlangen electronics factory, this approach has reduced inspection-process calibration time by 40 percent. The broader announcement covers accelerated engineering from early design through production planning. NVIDIA CUDA-X libraries are speeding simulation workloads, giving engineers faster feedback on structural stress, fluid flow, electromagnetic behavior and semiconductor performance. Mercedes-Benz is using Siemens' Simcenter STAR-CCM+ on NVIDIA GPUs to compare vehicle designs through faster aerodynamic simulations, while also applying NVIDIA Cosmos 3 and the Metropolis VSS blueprint to build agents for vehicle inspection and windshield assembly verification. Cadence is benchmarking automotive fluid-dynamics workloads, and Autodesk is bringing NVIDIA PhysicsNeMo and Warp frameworks into its simulation tools to help designers predict performance and iterate more quickly. In semiconductors, imec and Infineon are using Synopsys software with NVIDIA accelerated computing to speed simulation workloads, reporting benchmark results of up to 40x for S-Litho and 12x for 3D breakdown simulation. In aerospace, Leonardo is working with Neural Concept to combine aircraft geometry and aerodynamic simulation results using Omniverse. Car manufacturers are also using Dassault Systèmes' LEO and AURA virtual companions, powered by Nemotron and integrated with CATIA and SIMULIA AI agents, to design and virtually test vehicle components before building physical prototypes. A major theme is virtual validation of factories, robots and AI infrastructure. NVIDIA Omniverse and Isaac libraries are enabling digital twins that let manufacturers test production systems and robot behavior before changing the factory floor. Audi is using an Omniverse-based battery-production digital twin to test concepts before equipment is available, and is working with Dassault Systèmes and Agile Robots to simulate mobile humanoid robots and logistics processes. Schaeffler is integrating digital twins of humanoid actuators with Isaac simulation frameworks, while Wandelbots is using NOVA with Isaac Sim to validate assembly workflows digitally. The pattern extends to industrial facilities and AI data centers. Falkor, a Kongsberg company, is combining agents, Omniverse and Microsoft Azure virtual machines with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs to support spatial intelligence for inspection and maintenance in process and energy industries. Schneider Electric, together with AVEVA, is developing an AI factory digital twin with Nscale to compare power, cooling and equipment configurations before deployment.

Creative Bharat
Sep 10th, 2026
Swiss company Neural Concept establishes direct presence in India to accelerate ai-native engineering across automotive and manufacturing.

Swiss company Neural Concept establishes direct presence in India to accelerate ai-native engineering across automotive and manufacturing. * admin@cb26 * September 10, 2026 * 0 Comments * 21 Views Business Wire India The leading Swiss AI-native technology company for physical product design trusted by the world's top OEMs and industrial manufacturers expands in Bengaluru and Pune to deepen engagement with India's automotive and engineering R&D ecosystem The expansion builds on Neural Concept's existing work with Indian customers and India-based teams at global manufacturers, including MAHLE Sudhir Padaki joins as Regional Sales Director, bringing 20 years of industry experience across India's automotive and manufacturing sector Neural Concept, the Swiss AI-native technology company, today announced the establishment of a direct commercial presence in India, with teams based in Bengaluru and Pune, marking the company's first official, dedicated footprint in the country. The move follows growing demand from Indian and global manufacturers already using the Engineering Intelligence platform in the region, including MAHLE, and gives them direct access to local commercial support, training and coordination with Neural Concept's global engineering expertise as they scale AI across design and simulation workflows. Electrification mandates, sustainability requirements and intensifying competition from Chinese OEMs are increasing the pressure on India's automotive and industrial sector to shorten R&D cycles while developing increasingly complex products. At the same time, engineering AI is bringing agents into product-development workflows, automating tasks across design and simulation. This enables teams to explore and assess a broader range of options earlier in development, accelerating end-to-end design. With India being among the world's leading AI-adoption markets over the coming decade, the expansion reflects Neural Concept's strategic commitment to a country whose teams are increasingly shaping products for global markets. "India is becoming a powerhouse for global engineering R&D, and Neural Concept is investing where talent, ambition and industrial scale are converging," said Pierre Baqué, CEO and Co-Founder at Neural Concept. "By establishing a direct presence, we are bringing our Engineering Intelligence platform closer to one of the world's most dynamic automotive and manufacturing R&D ecosystems. We want to help the engineers and manufacturers on the ground move from isolated AI experimentation to measurable impact across product development while giving them ownership of the intelligence driving their designs." India is the world's third-largest automotive market, projected to reach $278.5 billion by 2034. The country also adds roughly 1.5 million engineering graduates annually to an English-speaking workforce, and major global manufacturers operate significant engineering centers across the country. "Indian OEMs and engineering teams across the country are increasingly contributing to product programs with global reach, and they need partners who understand the local context," said Sudhir Padaki, Regional Sales Director, India at Neural Concept. "By combining strong local relationships with Neural Concept's global engineering expertise, our team will help customers onboard efficiently and deploy AI across design and simulation workflows." The India expansion builds on Neural Concept's continued global growth, including its offices in Munich, New York and Seoul, and its $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives. The move puts Neural Concept closer to both its customers and the innovation ecosystems shaping the future of product design. About Neural Concept Neural Concept provides the intelligence layer for engineering, enabling companies to design and develop complex, high-performance products faster and more efficiently. Its AI-native platform embeds physics-aware intelligence directly into design and simulation workflows, empowering engineering teams to make continuous, AI-augmented decisions at every stage of product design. Founded in 2019, Neural Concept serves leading OEMs and engineering organizations across automotive, aerospace, energy, consumer electronics, semiconductors and defense. Headquartered in Switzerland, the company has a growing global presence including offices in Munich, New York, Seoul and now India (Bengaluru and Pune), and is backed by global investors, including Goldman Sachs, Forestay Capital and D. E. Shaw Group. Visit https://www.neuralconcept.com View source version on businesswire.com: https://www.businesswire.com/news/home/20260909281336/en/ Business Wire India * The leading Swiss AI-native technology company for physical product design trusted by the world's top OEMs and industrial manufacturers expands in Bengaluru and Pune to deepen engagement with India's automotive and engineering R&D ecosystem * The expansion builds on Neural Concept's existing work with Indian customers and India-based teams at global manufacturers, including MAHLE * Sudhir Padaki joins as Regional Sales Director, bringing 20 years of industry experience across India's automotive and manufacturing sector Neural Concept, the Swiss AI-native technology company, today announced the establishment of a direct commercial presence in India, with teams based in Bengaluru and Pune, marking the company's first official, dedicated footprint in the country. The move follows growing demand from Indian and global manufacturers already using the Engineering Intelligence platform in the region, including MAHLE, and gives them direct access to local commercial support, training and coordination with Neural Concept's global engineering expertise as they scale AI across design and simulation workflows. Electrification mandates, sustainability requirements and intensifying competition from Chinese OEMs are increasing the pressure on India's automotive and industrial sector to shorten R&D cycles while developing increasingly complex products. At the same time, engineering AI is bringing agents into product-development workflows, automating tasks across design and simulation. This enables teams to explore and assess a broader range of options earlier in development, accelerating end-to-end design. With India being among the world's leading AI-adoption markets over the coming decade, the expansion reflects Neural Concept's strategic commitment to a country whose teams are increasingly shaping products for global markets. "India is becoming a powerhouse for global engineering R&D, and Neural Concept is investing where talent, ambition and industrial scale are converging," said Pierre Baqué, CEO and Co-Founder at Neural Concept. "By establishing a direct presence, we are bringing our Engineering Intelligence platform closer to one of the world's most dynamic automotive and manufacturing R&D ecosystems. We want to help the engineers and manufacturers on the ground move from isolated AI experimentation to measurable impact across product development while giving them ownership of the intelligence driving their designs." India is the world's third-largest automotive market, projected to reach $278.5 billion by 2034. The country also adds roughly 1.5 million engineering graduates annually to an English-speaking workforce, and major global manufacturers operate significant engineering centers across the country. "Indian OEMs and engineering teams across the country are increasingly contributing to product programs with global reach, and they need partners who understand the local context," said Sudhir Padaki, Regional Sales Director, India at Neural Concept. "By combining strong local relationships with Neural Concept's global engineering expertise, our team will help customers onboard efficiently and deploy AI across design and simulation workflows." The India expansion builds on Neural Concept's continued global growth, including its offices in Munich, New York and Seoul, and its $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives. The move puts Neural Concept closer to both its customers and the innovation ecosystems shaping the future of product design. About Neural Concept Neural Concept provides the intelligence layer for engineering, enabling companies to design and develop complex, high-performance products faster and more efficiently. Its AI-native platform embeds physics-aware intelligence directly into design and simulation workflows, empowering engineering teams to make continuous, AI-augmented decisions at every stage of product design. Founded in 2019, Neural Concept serves leading OEMs and engineering organizations across automotive, aerospace, energy, consumer electronics, semiconductors and defense. Headquartered in Switzerland, the company has a growing global presence including offices in Munich, New York, Seoul and now India (Bengaluru and Pune), and is backed by global investors, including Goldman Sachs, Forestay Capital and D. E. Shaw Group.

Nextronics Times
Sep 10th, 2026
Swiss AI company Neural Concept establishes dedicated India footprint.

Swiss AI company Neural Concept establishes dedicated India footprint. Swiss AI technology company Neural Concept is establishing a direct commercial presence in India, opening teams in Bengaluru and Pune as it looks to expand the use of AI across automotive and manufacturing engineering workflows. The move marks Neural Concept's first dedicated footprint in India and comes as demand grows among manufacturers already using its Engineering Intelligence platform in the region, including MAHLE. The company said the local teams will provide commercial support, customer training and coordination with its global engineering organization. India's automotive and industrial sectors are facing pressure to shorten product development cycles as electrification, sustainability requirements and competition from Chinese automakers reshape the market. At the same time, AI is moving deeper into engineering, with tools increasingly being used across product design and simulation. Neural Concept said its platform enables engineering teams to use AI agents to automate tasks across these workflows and evaluate a broader range of design options earlier in the development process. "India is becoming a powerhouse for global engineering R&D, and Neural Concept is investing where talent, ambition and industrial scale are converging," said Pierre Baqué, CEO and co-founder of Neural Concept. India becomes key engineering market. India is the world's third-largest automotive market and is projected to reach $278.5 billion by 2034, according to the figures cited by Neural Concept. The country also produces about 1.5 million engineering graduates annually, while global manufacturers operate large engineering and R&D centers across the country. The combination of engineering talent and manufacturing capacity has increasingly positioned India as a development base for products destined for international markets. Neural Concept's expansion is aimed at supporting that activity as manufacturers look to incorporate AI into engineering processes rather than limit its use to isolated experiments. "Indian OEMs and engineering teams across the country are increasingly contributing to product programs with global reach, and they need partners who understand the local context," said Sudhir Padaki, regional sales director, India, at Neural Concept. The company said its India team will work with customers on onboarding and deployment of AI across design and simulation workflows while providing access to Neural Concept's broader engineering capabilities. Expansion follows global Growth. The India launch adds to Neural Concept's international operations, which include offices in Munich, New York and Seoul. The company has also expanded its financial base following a $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives. Neural Concept's Engineering Intelligence platform is designed to apply AI to engineering data and workflows, with applications spanning product design, simulation and optimization. The India expansion places the company closer to one of the world's largest automotive and manufacturing engineering ecosystems as those industries increase their use of AI in product development. For Neural Concept, the focus will be on moving AI adoption from experimentation into engineering operations, particularly as Indian teams take on a larger role in developing products for global markets.

Business Wire
Sep 9th, 2026
Swiss company Neural Concept establishes direct presence in India to accelerate ai-native engineering across automotive and manufacturing.

Swiss company Neural Concept establishes direct presence in India to accelerate ai-native engineering across automotive and manufacturing. * The leading Swiss AI-native technology company for physical product design trusted by the world's top OEMs and industrial manufacturers expands in Bengaluru and Pune to deepen engagement with India's automotive and engineering R&D ecosystem * The expansion builds on Neural Concept's existing work with Indian customers and India-based teams at global manufacturers, including MAHLE * Sudhir Padaki joins as Regional Sales Director, bringing 20 years of industry experience across India's automotive and manufacturing sector BENGALURU, India & PUNE, India-(BUSINESS WIRE)-Neural Concept, the Swiss AI-native technology company, today announced the establishment of a direct commercial presence in India, with teams based in Bengaluru and Pune, marking the company's first official, dedicated footprint in the country. The move follows growing demand from Indian and global manufacturers already using the Engineering Intelligence platform in the region, including MAHLE, and gives them direct access to local commercial support, training and coordination with Neural Concept's global engineering expertise as they scale AI across design and simulation workflows. Electrification mandates, sustainability requirements and intensifying competition from Chinese OEMs are increasing the pressure on India's automotive and industrial sector to shorten R&D cycles while developing increasingly complex products. At the same time, engineering AI is bringing agents into product-development workflows, automating tasks across design and simulation. This enables teams to explore and assess a broader range of options earlier in development, accelerating end-to-end design. With India being among the world's leading AI-adoption markets over the coming decade, the expansion reflects Neural Concept's strategic commitment to a country whose teams are increasingly shaping products for global markets. "India is becoming a powerhouse for global engineering R&D, and Neural Concept is investing where talent, ambition and industrial scale are converging," said Pierre Baqué, CEO and Co-Founder at Neural Concept. "By establishing a direct presence, we are bringing our Engineering Intelligence platform closer to one of the world's most dynamic automotive and manufacturing R&D ecosystems. We want to help the engineers and manufacturers on the ground move from isolated AI experimentation to measurable impact across product development while giving them ownership of the intelligence driving their designs." India is the world's third-largest automotive market, projected to reach $278.5 billion by 2034. The country also adds roughly 1.5 million engineering graduates annually to an English-speaking workforce, and major global manufacturers operate significant engineering centers across the country. "Indian OEMs and engineering teams across the country are increasingly contributing to product programs with global reach, and they need partners who understand the local context," said Sudhir Padaki, Regional Sales Director, India at Neural Concept. "By combining strong local relationships with Neural Concept's global engineering expertise, our team will help customers onboard efficiently and deploy AI across design and simulation workflows." The India expansion builds on Neural Concept's continued global growth, including its offices in Munich, New York and Seoul, and its $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives. The move puts Neural Concept closer to both its customers and the innovation ecosystems shaping the future of product design. About Neural Concept Neural Concept provides the intelligence layer for engineering, enabling companies to design and develop complex, high-performance products faster and more efficiently. Its AI-native platform embeds physics-aware intelligence directly into design and simulation workflows, empowering engineering teams to make continuous, AI-augmented decisions at every stage of product design. Founded in 2019, Neural Concept serves leading OEMs and engineering organizations across automotive, aerospace, energy, consumer electronics, semiconductors and defense. Headquartered in Switzerland, the company has a growing global presence including offices in Munich, New York, Seoul and now India (Bengaluru and Pune), and is backed by global investors, including Goldman Sachs, Forestay Capital and D. E. Shaw Group.

Yahoo Finance
Jun 9th, 2026
Neural Concept opens Seoul office to accelerate AI-driven engineering in South Korea

Neural Concept, an AI-driven engineering platform for physical product development, has opened its first Asia-Pacific office in Seoul. The expansion reflects growing demand from Korean manufacturers deploying AI across engineering teams, with direct local support now available for implementation and capability-building. The company is deepening collaboration with Hanwha Ocean and other automotive OEMs and Tier 1 suppliers in the region. Dr Eunjoo Lee, former CEO of IBM Korea and executive vice president at Samsung, has joined as board adviser. Neural Concept works with organisations across automotive, electrification, shipbuilding, electronics and semiconductors. CEO Pierre Baqué said the Seoul office would help embed "Engineering Intelligence" into core product development workflows, moving beyond experimental AI pilots towards production-scale deployment.