We’re An AI-First Company In Plant Breeding From Munich

Help us push the boundaries of what's possible in plant breeding with cutting-edge AI

We Work At The Intersection Of AI And Plant Breeding

We combine advanced AI with plant science to help breeders accelerate discovery, streamline selection, and unlock insights from complex genetic and environmental data at scale.

Work with noisy, high-dimensional, large datasets.

Model genotype-by-environment interactions and their impact on yield.

Scale insights across crops, trials, and environments.

Visual representation of different maize traits flowing into a predictive model, resulting in optimized corn yield.

We Love Solving Complex Problems At The Frontier Of Technology

At NoMaze, we thrive on the challenge of solving tough, real-world problems – turning messy, high-dimensional data into clear insights that drive impact in areas like food security and plant resilience.

Tackle problems no one has solved – yet – and fully own the outcome.

Work with real complexity – not abstractions or oversimplified representations.

Bridge theory and application in a field that resists easy answers.

Our Mission

We build intelligent, user-focused technology that empowers researchers and innovators to make smarter, faster, and clearer breeding decisions and helps them feed the world.

Create lasting impact at the intersection of AI and plant breeding.

Advance progress in a field of science the world depends on – but rarely sees.

Transform agriculture through technology that serves people and planet.

Researchers in a greenhouse analyzing plant data on a computer screen displaying crop performance metrics.

Meet Our Founders

NoMaze is built by researchers and engineers to solve real problems in plant breeding.

Portrait of Jean-Pascal Lutze

Jean-Pascal Lutze

CEO & Co-Founder

Jean-Pascal Lutze (“JP”) co-founded NoMaze in 2022 while working as a Space engineer at DLR. He earned a Masters degree in Robotics, Cognition and Intelligence at world-renowned TUM in Munich, Germany. JP authored nine publications and holds three patents.

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Portrait of Finn Gaida

Finn Gaida

CTO & Co-Founder

Finn Gaida co-founded NoMaze in 2022 while working on machine learning applications at Kaia Health. He studied Computer Science in the Master’s degree at TUM and was part of Manage & More, the entrepreneurship scholarship program at UnternehmerTUM.

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Three team members collaborating around a laptop in a modern office environment.

We're Hiring – Join the Team

NoMaze is where engineers and scientists tackle complex challenges in plant breeding. Join us to build cutting-edge AI technology that advances how crops are developed and grown.

Think you belong here? So do we.

jobs@nomaze.com
Machine Learning Engineer

About Us

NoMaze is an innovative AI startup developing software for the genetic prediction of plant traits. Our goal is to create better plants faster for a more secure food future. Operating at the intersection of AI, genetics, and software, we enable plant breeding companies to develop new and climate-resilient varieties more efficiently.

Responsibilities

As part of our team, your responsibilities will include hands-on design and development of machine learning models for genomic data analysis, as well as deploying and maintaining ML systems in pipelines. You will work with large genotypic plant datasets, performing data collection and preprocessing, and ensuring quality assurance through rigorous testing and validation. Collaboration with cross-functional teams—including software engineers, data scientists, and product managers—is a key aspect of the role. You will also mentor junior engineers and interns, contribute to hiring decisions, influence product roadmaps, and engage in strategic discussions with the founders.

Benefits

We offer a number of benefits: direct mentoring by founders and industry experts, hands-on learning with exposure to sales, investor pitches, and team scaling, and career development opportunities including the potential for full-time employment and equity. You’ll enjoy a hybrid and flexible work environment, with the option to work from our Munich office or remotely. Our strong team of 11 experts in AI, software, and genetics is supported by health and wellness perks such as Wellpass for unlimited sports classes and gym memberships.

Your Profile

We’re looking for someone with technical excellence, demonstrated by deep experience with PyTorch and prior work in machine learning or data engineering. You bring an entrepreneurial mindset—where others see challenges, you see opportunities—and a high level of autonomy. You’re capable of working independently and staying organized, and you're based in Munich with the flexibility to work in our office a few days a week. Strong communication skills are essential, as you’ll need to clearly express ideas and engage with the team effectively.

Apply Now

The position is available immediately or starting in November. Our application process is simple: first, send a short email explaining one of your previous projects and include your LinkedIn profile to jobs@nomaze.com. Next, you’ll have a one-on-one call with a founder to explore your motivation and fit for the role. If that goes well, we’ll invite you to complete a take-home case study followed by a technical interview where you can discuss your approach with one of our engineers. We aim to get back to you with an offer within a week of your interview.

Full Stack Developer

About Us

NoMaze is an innovative AI startup developing software for the genetic prediction of plant traits. Our goal is to create better plants faster for a more secure food future. Operating at the intersection of AI, genetics, and software, we enable plant breeding companies to develop new and climate-resilient varieties more efficiently.

Responsibilities

As a Full Stack Engineer at NoMaze, you will design, develop, and maintain full-stack applications using Flask and React to support genomic data analysis and enhance user interactions within the NoMaze platform. You’ll implement and optimize front-end interfaces for interactive data visualizations, and work closely with ML engineers to deploy and support data processing pipelines and integrate prediction models into the product. Your role will include participating in code reviews, maintaining coding standards, and documenting workflows to ensure best practices. You will mentor junior team members, fostering a culture of continuous learning, and contribute to product planning and roadmap discussions from both a technical and user-centric perspective. Maintaining high-quality standards through unit and integration testing and thorough troubleshooting is also part of your responsibility.

Benefits

We offer direct mentoring by founders and industry experts, giving you a chance to grow rapidly in your career. You’ll gain hands-on learning experiences that include exposure to sales, investor pitches, and team scaling. There’s a strong potential for full-time employment and equity. We support a hybrid and flexible work environment, allowing you to work from our Munich office or remotely. You’ll join a dedicated team of 11 experts in AI, software, and genetics, and benefit from health and wellness perks such as a Wellpass membership for unlimited sports classes and gym access. Your Profile You have demonstrated technical excellence in previous projects, particularly with deep experience in both Flask and React. You possess an entrepreneurial mindset, always seeing opportunities where others might see challenges. With prior experience in full-stack engineering, you are capable of working independently and staying organized. You are located in Munich and able to join the team in the office a few days per week for in-person collaboration. Excellent communication skills are a must, as you'll need to clearly articulate ideas and feedback in a team environment.

Apply Now

The position is available immediately or starting in November. Our application process is simple: first, send a short email explaining one of your previous projects and include your LinkedIn profile to jobs@nomaze.com. Next, you’ll have a one-on-one call with a founder to explore your motivation and fit for the role. If that goes well, we’ll invite you to complete a take-home case study followed by a technical interview where you can discuss your approach with one of our engineers. We aim to get back to you with an offer within a week of your interview.

Enterprise Sales Manager

About Us

NoMaze is an innovative AI startup transforming the future of agriculture through software for the genetic prediction of plant traits. Our mission is to create better plants faster for a more secure and climate-resilient food future. Positioned at the intersection of AI, genetics, and software, we partner with plant breeding companies to help them accelerate the development of new crop varieties through advanced predictive analytics.

Responsibilities

As Enterprise Sales Manager, you will drive commercial growth by building relationships with leading plant breeding companies and guiding them through the full sales cycle. You will identify new opportunities, run tailored product demos, and close enterprise contracts. In this role, you’ll collaborate with the product and engineering teams to ensure customer needs are reflected in our roadmap, and help shape our sales playbook as we scale. You’ll also represent NoMaze at industry events and contribute to strategic planning with the founding team.

Benefits

We offer direct collaboration with the founders, competitive compensation with the potential for full-time employment and equity, and the opportunity to work in a hybrid and flexible setup—either remotely or from our Munich office. You'll join a focused team of experts in AI, software, and plant genetics, and enjoy health and wellness perks through Wellpass, including unlimited sports classes and gym access. Your Profile You have 3–6 years of experience in B2B or enterprise sales and a strong track record of closing high-value deals, ideally in agriculture, biotech, or AI. You're entrepreneurial, comfortable working in a fast-moving environment, and able to communicate clearly with both technical and non-technical stakeholders. You're fluent in English, organized, and willing to travel occasionally for client meetings or industry events. Being based in or near Munich is a plus.

Apply Now

The position is available immediately or starting in the coming months. To apply, send a short email to jobs@nomaze.com introducing yourself, sharing a relevant sales experience, and linking your LinkedIn profile. You’ll then be invited to a one-on-one founder call, followed by a short sales case and interview. We aim to get back to you with a decision within one week of the final step.

NoMaze Is Proud To Be Part Of A Vibrant Ecosystem

We are collaborating within a network that drives progress in AI, agriculture, innovation and entrepreneurship.

Founder’s Feed: AI Meets Agriculture

Curious about AI, plant breeding, and cutting-edge research? Read technical perspectives from our CEO JP on LinkedIn.

Let’s Build Something Great Together

Whether you're passionate about advancing AI, revolutionizing plant breeding, or pushing the boundaries of cutting-edge technology:

We’d love to hear from you! Reach out to our team and explore how we can solve the world’s toughest challenges together.

Jobs

Jean-Pascal Lutze

jobs@nomaze.com