
Harmattan AI · Lausanne
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...
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.
As an Embedded Software Engineer at Harmattan AI, you will join a growing team dedicated to developing cutting-edge UAV systems.
Building on the foundation established by the team, you will contribute to designing software architectures, setting up
development environments, and integrating drivers and algorithms for sensors and systems. Collaborating closely with the
Algorithmic teams, your expertise will help advance Harmattan AI’s mission and foster a culture of technical excellence.
reliability.
related fields.
members to senior executives.
operational excellence.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
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.
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 As a Software Test & Validation Engineer, you build the systems that let us trust our drones' software before it ever flies a mission. You design the automated tests and pipelines that put our flight software through its paces, from pure simulation (SITL) to hardware-in-the-loop (HITL), and turn the results into clear signal for the engineering teams. Our validation team is scaling fast, from testing a handful of drones to testing them by the hundred, and you are how that scale becomes possible. Your main instrument is the SITL/HITL simulation environment built by our tooling team. A big part of the job is to use it to its full potential and to help improve it continuously: it's recent and not yet fully representative of reality, so your feedback and contributions are what will make it a trustworthy test bench. On top of that, new systems to validate arrive on a regular basis, so you'll repeatedly stand up test coverage for platforms you're seeing for the first time. This is a broad role, and we're deliberately hiring for a range of profiles rather than a single narrow one. We're looking for engineers with scope beyond pure software, system-level thinking, a feel for architecture, a statistical approach to noisy data, and some physical intuition. Depending on your strengths, you might focus on test-scenario design and coverage, on the automation and CI pipeline that runs tests on every build, on capturing and replaying flight telemetry, or on deepening the simulation itself. Tell us in your application where you fit best. What you'll do (the mix depends on your profile, you won't do all of it) * Test design & content: Define the scenarios that catch real bugs, decide what to measure, and turn noisy flight metrics into stable, meaningful pass/fail and regression signals. * Drive and improve the SITL/HITL environment: Use the tooling team's simulation bench as your primary test instrument, push it hard, and feed back concrete improvements to make it more representative, models, scenarios, missing capabilities. * Automation & tooling: Write clean Python tools to load, parse and analyse test outputs, detect regressions, and produce reports the engineering teams act on. * CI/CD integration: Integrate simulation and hardware tests into the continuous-integration pipeline so every new build is validated automatically, fast, and reproducibly. * Onboard new systems: As new platforms arrive, build the test scenarios, metrics and coverage to validate them, often starting from scratch. * Telemetry & replay: Capture flight and test telemetry and make it replayable and analysable, so an issue seen once can be reproduced and understood. What we're looking for (we don't expect every point, show us your strengths) * Background in software engineering, embedded systems, mechatronics, aerospace, or a closely related field. * Strong Python for test tooling and automation (C++ is a plus, and more important for some of these profiles than others). * Scope beyond pure coding: system-level thinking, an ability to grasp a whole architecture, a statistical mindset for noisy test data, and enough physical intuition to reason about flight behaviour. * Some combination of: test-scenario/framework design; CI/CD and DevOps tooling (Docker, Jenkins/GitLab CI, Git, Linux); simulation (SITL/HITL); or telemetry capture and analysis. * A validation mindset: rigor, attention to edge cases, and healthy scepticism about what "passing" really means. * Clear communication and ownership, you'll work hand in hand with the flight-software, simulation/tooling and hardware teams. * Bonus: a background in drones or robotics; experience with statistical analysis of noisy test data. We look forward to hearing how you can help shape the future of autonomous defense systems at 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 looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. RESPONSIBILITIES * VIO Front-end Algorithm development: * Matching between frames and stereo pairs * Calibration of cameras intrinsic and extrinsic parameters * Detection of obstruction * Implementation and optimization of the algorithmic stack for our embedded platforms * Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. * Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. CANDIDATE REQUIREMENTS * Educational Background: Master’s degree in Robotics, Physics, Computer Science or related field, PhD is a plus * Technical Expertise: Strong mathematical foundations, coding skills in both Python and C++ * Hands-on VIO project experience. Experience with VIO on industrial products is a huge plus. * Passion for Computer Vision and Robotics * Strong Communication & Teamwork: Ability to collaborate effectively with diverse teams * Commitment: 100% dedication to Harmattan’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.