
Job Overview
Location
Pune
Job Type
Full-time
Category
Software Engineering
Date Posted
March 15, 2026
Full Job Description
đź“‹ Description
- • Join Neural Concept SA as an Application Engineer and become a pivotal member of a team dedicated to solving the most intricate engineering challenges faced by industry leaders.
- • Your core mission will be to collaborate intimately with engineering and design departments across the automotive, aerospace, and energy sectors, gaining a deep understanding of their unique hurdles and pain points.
- • You will be instrumental in identifying and implementing solutions that significantly accelerate their product conception and development processes.
- • Leverage Neural Concept's cutting-edge platform to unlock the immense value hidden within complex computer-aided engineering (CAE) datasets, directly influencing and improving product design workflows.
- • Utilize the power of 3D deep learning and engineering intelligence to empower clients, enabling them to develop superior products at a much faster pace.
- • As a key contributor to the Application Engineering Team, you will guide industry pioneers in redefining their product design methodologies through the adoption of state-of-the-art technologies.
- • Cultivate trust and earn admiration from our clientele by consistently delivering exceptional technical work and insightful solutions.
- • This role offers a unique opportunity to operate at the dynamic intersection of traditional engineering disciplines and advanced Artificial Intelligence (AI).
- • Engage with top-tier customers on a global scale, actively shaping the future evolution of their respective industries.
- • If you are driven by the prospect of experiencing firsthand the rapid advancements in engineering and contributing to transformative change, this is the ideal team for you.
- • You will spearhead projects in close partnership with our customers' engineering teams, meticulously analyzing and processing vast amounts of engineering data.
- • Employ Neural Concept's proprietary platform and sophisticated Python libraries to derive actionable insights and develop bespoke solutions and optimized workflows tailored to specific client needs.
- • Apply advanced machine learning and deep learning workflows to a diverse range of engineering and physics-based problems, demonstrating the tangible value our technology brings to CAD, CAE, and manufacturing processes.
- • Deliver compelling proofs-of-concept that clearly illustrate how Neural Concept's innovative solutions drive efficiency, reduce costs, and enhance product quality.
- • Take ownership of training customer teams, equipping them with the knowledge and skills to effectively utilize our methods and platform, thereby ensuring a seamless and successful integration of AI into their existing workflows.
- • Act as a crucial liaison between our customers and our internal development teams, effectively translating customer requirements, challenges, and feedback into concrete product improvements and future development priorities.
- • You will be an eager and proactive problem-solver, dedicated to tackling real-world engineering challenges through the strategic application of machine learning and automation.
- • Possess a profound passion for fundamentally reshaping the practice of engineering within leading global industries.
- • Hold a Master's or PhD degree in a relevant field such as Engineering, Applied Mathematics, or Physics, providing a strong theoretical foundation.
- • Demonstrate an excellent and comprehensive understanding of both core engineering principles and advanced machine learning concepts, a strict requirement for success in this role.
- • Showcase strong, hands-on experience with Python programming, complemented by proven expertise in utilizing machine learning and deep learning frameworks and libraries, another strict requirement.
- • Possess practical experience with engineering simulation tools and methodologies.
- • While not mandatory, industry experience within CAD/CAE domains, including areas like Computational Fluid Dynamics (CFD) or Finite Element Method (FEM), will be considered a significant advantage.
- • Exhibit the ability to articulate complex technical concepts with clarity and precision to a diverse audience, encompassing both highly technical engineers and non-technical business stakeholders.
- • Possess outstanding communication and interpersonal skills, thriving in collaborative environments and feeling entirely comfortable in a customer-facing capacity.
- • Maintain fluency in English, which is a mandatory requirement for effective global collaboration.
- • Contribute to a world-class technology team where excellence is the standard and innovation is constant.
- • Receive competitive compensation and benefit from rewarding career progression opportunities as the company continues its rapid expansion.
- • Immerse yourself in a collaborative, multicultural, and inclusive work environment where your contributions are highly visible and consistently recognized.
- • Foster your professional growth alongside exceptionally talented colleagues who actively share their expertise and provide mutual support.
- • Make a significant global impact by empowering customers to transition towards AI-assisted design, thereby accelerating innovation and promoting more intelligent and sustainable product development.
- • Achieve a healthy work-life balance through a hybrid working model and flexible hours, emphasizing results over rigid adherence to schedules.
Skills & Technologies
About Neural Concept SA
Neural Concept SA provides cloud-native AI software that accelerates engineering simulations for automotive, aerospace and industrial-product teams. Its core product, Neural Concept Shape, learns from existing CAD and CAE data to predict aerodynamics, structural and thermal performance in seconds, replacing hours of traditional solving. The EPFL-spinoff’s 3D deep-learning models integrate into standard design workflows, enabling rapid shape optimization and lightweighting without expert CFD or FEA setup. Customers include Airbus, Bosch, Subaru and Formula 1 suppliers. Founded in 2018 and headquartered in Lausanne, Switzerland, the company serves global OEMs through subscription licenses and secure cloud deployments.
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