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We are a unique team of passionate ML Engineers, Software Developers, Product Specialists and Sales & Marketing Professionals, working for global industry leaders. We believe that with a healthy team culture we can achieve wonders.

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Customer Deployment Engineer

location
USA, Remote
job type
Permanent
Apply

The Platform Team is the backbone of Neural Concept’s customer satisfaction and is responsible for our SaaS infrastructure, IT security, licensing, and customer deployments. We are a cross-functional team dedicated to delivering optimal solutions tailored to each customer's enterprise setup. Utilizing a robust tech stack, including Kubernetes, HPC, Cloud, and Docker, we manage a combination of app microservices and GPU workloads at scale.

As a Customer Deployment Engineer, you will play a crucial role in ensuring high-quality deployment of our platform with our US customers.

What you will do

  • Design and Deploy Solutions: Work closely with large enterprise companies to design and deliver solutions that integrate Neural Concept’s AI-powered technology within existing Cloud and HPC infrastructure.
  • Customer Interaction: Engage directly with customers to define and deploy custom platform architectures, ensuring all product features are available in tailored cloud or hybrid environments.
  • Collaborate with Development Team: Continuously improve the software architecture and modularity for seamless deployment across various environments.
  • Ensure Compliance: Guarantee that product and deployment architectures meet all security and data confidentiality requirements.
  • Innovate and Learn: Explore new technologies to keep our platform cutting-edge and share your expertise through documentation and presentations.

Who you are

  • Experience as a software engineer with a background in deploying and maintaining business-critical cloud applications using Kubernetes, Singularity, and/or Docker.
  • Familiarity with cloud platforms such as Azure, GCP, or AWS, and understanding of distributed computing and virtual networking.
  • Expertise in managing cloud resources with a focus on security and performance best practices.
  • Knowledge of tools and standards like Prometheus, Grafana, Terraform, Slurm, PBS, OAuth 2.0, and SAML.
  • A passion for solving complex problems, working in a team, and making a real-world impact.
  • Strong communication skills and enjoy sharing your work through documentation or blog posts.

What you will get

  • Competitive Compensation: A competitive salary and generous equity compensation plan.
  • Supportive Work Environment: Work with a team that cares about your growth and well-being.
  • Flexible Schedule: Enjoy a stimulating work environment with a flexible hybrid schedule.
  • Comprehensive Benefits: Including 25 days of paid vacation annually, healthcare (medical/vision/dental), and 401K matching.
  • Global Opportunities: Be part of a growing company with global ambitions and contribute to shaping the future of engineering.

And important

  • Start Date: ASAP
  • Location: Remote (USA)
  • Travel: Occasional travel to customer locations may be required.
  • Eligibility: Only U.S. nationals, green card holders or candidates with a valid work permit in the US will be considered for this role.


At Neural Concept, we value passion, creativity, and the willingness to learn. If you don’t meet all the criteria but believe you have what it takes, we encourage you to apply. Join us in changing the future of engineering!

ML Application Engineer

location
New Jersey (USA)
job type
Permanent
Apply

Our mission is to support our customers in solving their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform, Neural Concept, and its components developed by our software engineers to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, we empower our customers to develop better products, faster.

As a key player in the team, your mission will be to establish trust and admiration from our customers in the USA by delivering high-quality technical work.

What you will do

  • You will run projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python.
  • You will apply our deep-learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how our technology creates value in computer-aided engineering workflows.
  • You will be in contact with customers to demonstrate the value of NC, and transmit the vision of the company.
  • You will train our users to make the most out of their NC licences and work with them to develop web applications and APIs putting 3D deep learning in production to accelerate their design processes.
  • You will be part of our constant effort to further develop our deep-learning platform by collecting user feedback and relaying it to the product team.
  • You will have the opportunity to work with global leaders and top research departments across different industries towards a new engineering revolution.

Who you are

  • You have a good understanding of both Physics and ML (strict requirement)
  • You hold a Master’s or PhD in Computer Science, Applied Mathematics, or Physics
  • You have a strong experience with Python programming and experience with deep learning frameworks (strict requirement)
  • You like working with people and feel comfortable in the customer-facing role
  • You have excellent communication skills and like to work in a team
  • You are eager to solve real-world problems with machine learning
  • Industry experience in CAD / CFD / FEA modelling is a plus

What you will get

  • A competitive salary and generous equity compensation plan - we are growing fast and want our employees to benefit from this growth.
  • Work with people who care about you - we support each other and care about you so that you can thrive.
  • Stimulating and dynamic work environment
  • Flexible hybrid schedule
  • Benefits: 25 days of paid vacations annually, healthcare (medical/vision/dental), 401K matching
  • Work with a world-class technology team - our engineers are top-notch.
  • The opportunity to be part of a growing company with global ambitions - our product is in demand in all regions of the world.
  • The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries.

And important

Start date: ASAP

Location: New Jersey, NY

Travelling: We desire to be close to our customers and meet them regularly. This position might require travelling to customer locations.

Only U.S. nationals will be considered for this role.

Please keep in mind that you do not need to tick all the boxes to apply. We value people with passion & creativity and offer plenty of space to learn and grow at our company.

ML Application Engineer

location
Munich, Germany
job type
Permanent
Apply

Our mission is to support our customers in solving their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform, Neural Concept, and its components developed by our software engineers to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, we empower our customers to develop better products faster.

As a key player in the team, your mission will be to establish trust and admiration from our customers by delivering high-quality technical work.

What you will do

  • You will run projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python.
  • You will apply our deep-learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how our technology creates value in computer-aided engineering workflows.
  • You will be in constant contact with customers to demonstrate the value of NC, and transmit the vision of the company.
  • You will train our customers to make the most out of their NC licences and work with them to develop web applications and APIs putting 3D deep learning in production to accelerate their design processes.
  • You will be part of our constant effort to further develop our deep-learning platform by collecting user feedback and relaying it to the product team.
  • You will have the opportunity to work with global leaders and top research departments across different industries towards a new engineering revolution.

Who you are

  • You have a good understanding of both Physics and ML (strict requirement)
  • You hold a Master’s or PhD in Computer Science, Applied Mathematics, or Physics
  • You have a strong experience with Python programming and experience with deep learning frameworks
  • You like working with people and feel comfortable in the customer-facing role
  • You have excellent communication skills and like to work in a team
  • You are eager to solve real-world problems with machine learning
  • Industry experience in CAD / CFD / FEA modelling is a plus
  • Fluent in English and German.

What you will get

  • A competitive salary and generous equity compensation plan - we are growing fast and want our employees to benefit from this growth.
  • Work with people who care about you - we support each other and care about you so that you can thrive.
  • Flexible schedule with the possibility of home-office; part-time (80%) or full-time (100%) schedule
  • Work with a world-class technology team - our engineers are top-notch.
  • The opportunity to be part of a growing company with global ambitions - our product is in demand in all regions of the world.
  • The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries.

And important

Travelling: We desire to be close to our customers and meet them regularly. This position might require up to 20% travelling to customer locations.

Start date: September -December 2024

Please keep in mind that you do not need to tick all the boxes to apply. We value people with passion & creativity and offer plenty of space to learn and grow at our company.

About us

ML Research Intern

location
Lausanne, Switzerland
job type
Internship
Apply

Join our dynamic team and be part of a mission to revolutionize product engineering and design. We are committed to pushing the boundaries of innovation, tackling complex, real-world problems, and creating cutting-edge solutions that will shape the future of the industry.

As a Machine Learning Research Intern at Neural Concept, your mission will be to develop and implement innovative methods for analyzing and understanding engineering data and 3D designs.

What you will do

You will work on practical, impactful projects from ideation through integration into Neural Concept's product, relying on deep learning and machine learning techniques alongside your own expertise and intuition. While working towards this goal:

  • You will tackle real-world problems across multiple industries, working with diverse and unique 3D design and simulation data from our customers and partners.
  • You will contribute to the development of our product, seeing the direct impact of your work on our customers.
  • You will be part of a highly dynamic, results-driven team that supports you and helps you achieve success.
  • You will stay current with the latest advancements in machine learning, finding innovative ways to apply cutting-edge methods and other effective techniques to our challenges.

Who you are

  • You just completed (or are in the process of completing) a Master or PhD in Computer Science, Applied Mathematics, Physics or other relevant field.
  • You have a deep understanding of machine learning and deep learning, and some relevant research or industry experience in these domains
  • You have strong experience with Python programming and ML frameworks such as Tensorflow or PyTorch.
  • You have a good physical intuition and understanding of physics.
  • You are motivated, detail-oriented, enjoy solving difficult problems and willing to engage in unknown territory.
  • You are pragmatic and result-driven, applying the most efficient and appropriate solution to a problem.
  • You like to work in a team and want to make a difference in the real world.

What you will get

  • Flexible hybrid schedule - we care about what you deliver, not about when you work.
  • Work with a world-class technology team - our engineers are top-notch. We aim for excellence.
  • Work with people who care about you - we support each other and care about you so that you can thrive.
  • The opportunity to be part of a growing company with global ambitions - our product is demanded in all regions of the world. We are growing by following our customers.
  • The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries.
  • Access to unlimited computational resources.

And important

  • Internship duration: 6 months
  • Start date: between now and November 2024
  • Location: Lausanne, Switzerland
  • Salary: 3000 CHF/month
  • You have a valid work permit in Switzerland or you are a EU national

Customer Deployment Engineer

location
USA, Remote
job type
Permanent

The Platform Team is the backbone of Neural Concept’s customer satisfaction and is responsible for our SaaS infrastructure, IT security, licensing, and customer deployments. We are a cross-functional team dedicated to delivering optimal solutions tailored to each customer's enterprise setup. Utilizing a robust tech stack, including Kubernetes, HPC, Cloud, and Docker, we manage a combination of app microservices and GPU workloads at scale.

As a Customer Deployment Engineer, you will play a crucial role in ensuring high-quality deployment of our platform with our US customers.

What you will do

  • Design and Deploy Solutions: Work closely with large enterprise companies to design and deliver solutions that integrate Neural Concept’s AI-powered technology within existing Cloud and HPC infrastructure.
  • Customer Interaction: Engage directly with customers to define and deploy custom platform architectures, ensuring all product features are available in tailored cloud or hybrid environments.
  • Collaborate with Development Team: Continuously improve the software architecture and modularity for seamless deployment across various environments.
  • Ensure Compliance: Guarantee that product and deployment architectures meet all security and data confidentiality requirements.
  • Innovate and Learn: Explore new technologies to keep our platform cutting-edge and share your expertise through documentation and presentations.

Who you are

  • Experience as a software engineer with a background in deploying and maintaining business-critical cloud applications using Kubernetes, Singularity, and/or Docker.
  • Familiarity with cloud platforms such as Azure, GCP, or AWS, and understanding of distributed computing and virtual networking.
  • Expertise in managing cloud resources with a focus on security and performance best practices.
  • Knowledge of tools and standards like Prometheus, Grafana, Terraform, Slurm, PBS, OAuth 2.0, and SAML.
  • A passion for solving complex problems, working in a team, and making a real-world impact.
  • Strong communication skills and enjoy sharing your work through documentation or blog posts.

What you will get

  • Competitive Compensation: A competitive salary and generous equity compensation plan.
  • Supportive Work Environment: Work with a team that cares about your growth and well-being.
  • Flexible Schedule: Enjoy a stimulating work environment with a flexible hybrid schedule.
  • Comprehensive Benefits: Including 25 days of paid vacation annually, healthcare (medical/vision/dental), and 401K matching.
  • Global Opportunities: Be part of a growing company with global ambitions and contribute to shaping the future of engineering.

And important

  • Start Date: ASAP
  • Location: Remote (USA)
  • Travel: Occasional travel to customer locations may be required.
  • Eligibility: Only U.S. nationals, green card holders or candidates with a valid work permit in the US will be considered for this role.


At Neural Concept, we value passion, creativity, and the willingness to learn. If you don’t meet all the criteria but believe you have what it takes, we encourage you to apply. Join us in changing the future of engineering!

ML Application Engineer

location
New Jersey (USA)
job type
Permanent

Our mission is to support our customers in solving their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform, Neural Concept, and its components developed by our software engineers to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, we empower our customers to develop better products, faster.

As a key player in the team, your mission will be to establish trust and admiration from our customers in the USA by delivering high-quality technical work.

What you will do

  • You will run projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python.
  • You will apply our deep-learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how our technology creates value in computer-aided engineering workflows.
  • You will be in contact with customers to demonstrate the value of NC, and transmit the vision of the company.
  • You will train our users to make the most out of their NC licences and work with them to develop web applications and APIs putting 3D deep learning in production to accelerate their design processes.
  • You will be part of our constant effort to further develop our deep-learning platform by collecting user feedback and relaying it to the product team.
  • You will have the opportunity to work with global leaders and top research departments across different industries towards a new engineering revolution.

Who you are

  • You have a good understanding of both Physics and ML (strict requirement)
  • You hold a Master’s or PhD in Computer Science, Applied Mathematics, or Physics
  • You have a strong experience with Python programming and experience with deep learning frameworks (strict requirement)
  • You like working with people and feel comfortable in the customer-facing role
  • You have excellent communication skills and like to work in a team
  • You are eager to solve real-world problems with machine learning
  • Industry experience in CAD / CFD / FEA modelling is a plus

What you will get

  • A competitive salary and generous equity compensation plan - we are growing fast and want our employees to benefit from this growth.
  • Work with people who care about you - we support each other and care about you so that you can thrive.
  • Stimulating and dynamic work environment
  • Flexible hybrid schedule
  • Benefits: 25 days of paid vacations annually, healthcare (medical/vision/dental), 401K matching
  • Work with a world-class technology team - our engineers are top-notch.
  • The opportunity to be part of a growing company with global ambitions - our product is in demand in all regions of the world.
  • The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries.

And important

Start date: ASAP

Location: New Jersey, NY

Travelling: We desire to be close to our customers and meet them regularly. This position might require travelling to customer locations.

Only U.S. nationals will be considered for this role.

Please keep in mind that you do not need to tick all the boxes to apply. We value people with passion & creativity and offer plenty of space to learn and grow at our company.

ML Application Engineer

location
Munich, Germany
job type
Permanent

Our mission is to support our customers in solving their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform, Neural Concept, and its components developed by our software engineers to unlock the value of the most complex Computer-Aided Engineering datasets and to create a direct impact on production design processes. Using 3D deep learning, we empower our customers to develop better products faster.

As a key player in the team, your mission will be to establish trust and admiration from our customers by delivering high-quality technical work.

What you will do

  • You will run projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python.
  • You will apply our deep-learning tools to different engineering/physics problems as well as deliver proofs-of-concept demonstrating how our technology creates value in computer-aided engineering workflows.
  • You will be in constant contact with customers to demonstrate the value of NC, and transmit the vision of the company.
  • You will train our customers to make the most out of their NC licences and work with them to develop web applications and APIs putting 3D deep learning in production to accelerate their design processes.
  • You will be part of our constant effort to further develop our deep-learning platform by collecting user feedback and relaying it to the product team.
  • You will have the opportunity to work with global leaders and top research departments across different industries towards a new engineering revolution.

Who you are

  • You have a good understanding of both Physics and ML (strict requirement)
  • You hold a Master’s or PhD in Computer Science, Applied Mathematics, or Physics
  • You have a strong experience with Python programming and experience with deep learning frameworks
  • You like working with people and feel comfortable in the customer-facing role
  • You have excellent communication skills and like to work in a team
  • You are eager to solve real-world problems with machine learning
  • Industry experience in CAD / CFD / FEA modelling is a plus
  • Fluent in English and German.

What you will get

  • A competitive salary and generous equity compensation plan - we are growing fast and want our employees to benefit from this growth.
  • Work with people who care about you - we support each other and care about you so that you can thrive.
  • Flexible schedule with the possibility of home-office; part-time (80%) or full-time (100%) schedule
  • Work with a world-class technology team - our engineers are top-notch.
  • The opportunity to be part of a growing company with global ambitions - our product is in demand in all regions of the world.
  • The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries.

And important

Travelling: We desire to be close to our customers and meet them regularly. This position might require up to 20% travelling to customer locations.

Start date: September -December 2024

Please keep in mind that you do not need to tick all the boxes to apply. We value people with passion & creativity and offer plenty of space to learn and grow at our company.

About us

ML Research Intern

location
Lausanne, Switzerland
job type
Internship

Join our dynamic team and be part of a mission to revolutionize product engineering and design. We are committed to pushing the boundaries of innovation, tackling complex, real-world problems, and creating cutting-edge solutions that will shape the future of the industry.

As a Machine Learning Research Intern at Neural Concept, your mission will be to develop and implement innovative methods for analyzing and understanding engineering data and 3D designs.

What you will do

You will work on practical, impactful projects from ideation through integration into Neural Concept's product, relying on deep learning and machine learning techniques alongside your own expertise and intuition. While working towards this goal:

  • You will tackle real-world problems across multiple industries, working with diverse and unique 3D design and simulation data from our customers and partners.
  • You will contribute to the development of our product, seeing the direct impact of your work on our customers.
  • You will be part of a highly dynamic, results-driven team that supports you and helps you achieve success.
  • You will stay current with the latest advancements in machine learning, finding innovative ways to apply cutting-edge methods and other effective techniques to our challenges.

Who you are

  • You just completed (or are in the process of completing) a Master or PhD in Computer Science, Applied Mathematics, Physics or other relevant field.
  • You have a deep understanding of machine learning and deep learning, and some relevant research or industry experience in these domains
  • You have strong experience with Python programming and ML frameworks such as Tensorflow or PyTorch.
  • You have a good physical intuition and understanding of physics.
  • You are motivated, detail-oriented, enjoy solving difficult problems and willing to engage in unknown territory.
  • You are pragmatic and result-driven, applying the most efficient and appropriate solution to a problem.
  • You like to work in a team and want to make a difference in the real world.

What you will get

  • Flexible hybrid schedule - we care about what you deliver, not about when you work.
  • Work with a world-class technology team - our engineers are top-notch. We aim for excellence.
  • Work with people who care about you - we support each other and care about you so that you can thrive.
  • The opportunity to be part of a growing company with global ambitions - our product is demanded in all regions of the world. We are growing by following our customers.
  • The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries.
  • Access to unlimited computational resources.

And important

  • Internship duration: 6 months
  • Start date: between now and November 2024
  • Location: Lausanne, Switzerland
  • Salary: 3000 CHF/month
  • You have a valid work permit in Switzerland or you are a EU national

Neural Concept is revolutionizing the face of engineering with Deep Learning, this is an exciting time to be part of the team as we grow and expand into new territories.

working
with us
hiring
process

We aim to recruit talents who identify with Neural Concept's culture and values, and who are excited of solving our customers challenges.

Our hiring process consists of the following phases:

Application

We will review your application and get back to you as soon as possible.

Culture interview

In this 30-45 online minutes interview, we will get to know you, understand what is important for you and introduce the company.

Technical interviews

This stage consists of several interviews. Depending on the position, it will include a code challenge, a home project and/or an online technical interview.

Assessment day

It is important for us to meet you in person. The final phase is the assessment day which is on-premises and lasts around 3 hours. You will meet your future colleagues, have a technical and people discussion.

Offer

We believe you will be a great fit to our team and would look forward to having you. We will give you a call to explain our offer and answer your questions.