Application Engineer

Neural Concept

About the Role The mission of Neural Concept’s ML Application Engineering team is to help our customers in Korea and solve 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 to unlock the value of the most complex computer-aided engineering datasets and to create a direct impact on product design processes. Using 3D deep learning and engineering intelligence, we empower our customers to develop better products faster. As a key player in the Application Engineering Team, your mission will be to help industry leaders to redefine their product design workflow with cutting-edge technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier customers worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you. What you will do * You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflows * You will apply our machine- and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing. * You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows. * You will work closely with our developers to translate customer needs and feedback into product improvements. Who you are * You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leaders * You hold a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics * You have an excellent understanding of both Engineering and Machine Learning (strict requirement) * You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries (strict requirement) * You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus * You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way * You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing role * You are fluent in English and Korean or Japanese (preferably native)- mandatory requirement. What 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 a hybrid model and flexible hours—we care about results, not rigid schedules. What You Will Be Location : Lausanne (Switzerland), UK, India, USA Eligibility: we do provide Swiss visa sponsorship for a successful candidate Travelling: Regular travels to South Korea and/ or Japan WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.

Harmattan AI

ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are seeking an Application Software Engineer to join our R&D team in Lausanne, Switzerland. In this high-priority role, you will be a founding member of a new team dedicated to developing the ground control station (GCS) software that serves as the foundation of our autonomy stack. Your primary mission will be to design and build an industrial-grade ground control software. Responsibilities * Develop Core GCS Features: Design and ship the features at the heart of the piloting experience — flight planning, airspace awareness, live video — with the same attention to operator UX as to technical correctness. * Systems Integration: Work closely with the Autopilot development team to ensure seamless communication between the GCS code and drone hardware. * Agile Execution: Participate in standard agile workflows, including two-week sprints, to deliver high-priority features defined by the product team. * Software Excellence: Take full ownership of your code, from architectural design to rigorous testing and maintenance, ensuring the delivery of industrial-grade software. * Mentorship (Senior Profiles): For candidates with approximately 10 years of experience, provide guidance and mentorship to junior engineers as the team grows. Candidate Requirements * Educational Background: A degree in Computer Science, Mathematics, or Physics is preferred. * Proven Software Architecture Skills: You have a track record of designing and delivering complex, production-quality software systems — not just writing code, but making sound architectural decisions that stand the test of time. While the current stack is Linux-based, experience with Android is also of interest. * Fluency with Modern Application Frameworks: Hands-on experience with Dart/Flutter or C++/Qt/QML is highly valued; you should be comfortable evaluating and adopting modern tooling to build performant, maintainable cross-platform applications. * Industry Experience: Direct experience developing ground control stations at a drone company is a significant advantage. * Adaptability & Autonomy: You should demonstrate a high degree of independence and proactivity, moving beyond a "lone wolf" mentality to thrive in a collaborative team environment. * Communication & Collaboration: A commitment to team-based activities like code reviews, viewing them as essential to maintaining high software quality. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Adaptyv Bio

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build work-cell orchestration, instrument drivers, protocol scheduling, error-recovery logic, and monitoring. Physical systems fail in ways pure software doesn't — a plate gets stuck, a liquid handler skips a well, a temperature controller drifts. Your job is to make the system handle all of it gracefully. This is a broad, hands-on role for a strong engineer who wants their code to drive real machines and see it run the same day. WHAT YOU'LL DO * Build orchestration software that coordinates liquid handlers, plate readers, incubators, and robot arms — handling timing dependencies, state, and error recovery. * Reverse-engineer and develop instrument drivers and APIs. Each instrument speaks a different protocol (serial, USB, TCP/IP); you work out how it talks and build a clean abstraction over it. * Model and execute complex multi-step protocols reliably — a single run can span dozens of steps across multiple instruments. * Build error-recovery logic so that when something fails mid-run, the system retries, skips, alerts, or pauses depending on the failure mode. * Create monitoring and observability for work-cell health: instrument status, run progress, error rates. * Debug across the software–hardware boundary — figuring out whether bad data is a comms, firmware, calibration, or code problem. * Work closely with lab automation engineers, the rest of the software team, and the scientists running production. STACK TypeScript and Python, Postgres (Supabase), Modal for compute. We control instruments with open-source Python tooling like PyLabRobot and PyHamilton wherever we can, rather than proprietary vendor GUIs. WHAT WE'RE LOOKING FOR * Strong software engineering skills. You write production code in Python and/or TypeScript — well-structured and maintainable, not just prototypes. * Comfortable at the hardware-software boundary. You've built software that drives physical devices, or you're excited to. You can read a protocol spec, debug a flaky connection, and reason about timing. * Lab automation experience is a strong plus. Familiarity with PyHamilton, PyLabRobot, Opentrons, or similar tooling helps — as does a background in robotics, industrial automation, IoT, or embedded systems. * Maker and hacker attitude. You like figuring out how closed systems work and building the thing that makes them work better. Bonus if you're comfortable with electronics, microcontrollers, or a 3D printer when an integration needs a physical fix. * AI-native builder. It's 2026 — you build with coding agents like Claude Code as a default, and you have sharp judgment about what they produce. * Self-starter and independent. You define what needs building from how the lab actually works, not just what's in the ticket. * Reliability-minded. The lab runs 24/7; you design systems where one instrument failing doesn't cascade through the whole work cell. Biology background not required — but you should be excited that the code runs real experiments. DETAILS * Location: Lausanne, Switzerland (on-site — you need hands-on access to physical instruments). * Type: Full time * Start date: ASAP Application deadline We are reviewing applicants on a rolling basis.