Role

Our perception technology, in particular pose estimation, is a key differentiator of the Intrinsic platform and enables our users to build flexible automation solutions. The perception experience team builds tools that significantly improve developer productivity when adding perception to an application, from camera onboarding and calibration to training and running a pose estimation algorithm.

We are seeking a highly skilled Software Engineer to join our dynamic perception team working at the heart of Flowstate, our first product built on the Intrinsic platform. In this role, you will be responsible for developing new user interfaces focused on perception user journeys, improving existing user journeys, and integration with the rest of the Intrinsic platform and backend APIs. You will develop the full stack of web interfaces for end-to-end perception tasks, ensuring a cohesive and user-friendly experience throughout our platform. The interfaces you build will shape our product and the role of the human in it.

You are excited by the prospect of owning critical pieces of our user experience (including collaborating with the Product and Design teams, and developing tests). You are excited to work with real cameras and robotic hardware. You have excellent development skills across the web application stack and are excited to be part of a world-class, innovative, frontend team.

How your work moves the mission forward

• Develop intuitive and innovative perception interfaces in collaboration with Product, Design, and Engineering teams.
• Own individual workflows or web UIs critical for Intrinsic’s perception product(s).
• Collaborate closely with product, design, and cross-functional engineering teams to deliver cohesive and delightful user experiences.
• Contribute to the end-to-end tech stack, integrating frontend with backend systems to enable seamless human-robot interaction.

Skills you will need to be successful

• At least Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• At least 5 years of professional experience in frontend web application development, with proficiency in modern JavaScript/TypeScript and experience with a major web framework (e.g., Angular, React).
• Experience in backend development (Go, C++, Python, etc.).
• Willingness to learn or familiarity with 3D computer vision, registration techniques, or similar perception topics.
• Experience with building visually-rich web applications. 
• Excellent collaboration skills, particularly when working with product and design teams.
• Good written and verbal communication skills in English.

Skills that will differentiate your candidacy

• Experience with 3D graphics and visualization libraries (e.g., Three.js, WebGL) in a web context.
• Experience in building human-machine interfaces for robotics or perception or complex industrial systems.
• Experience with user studies or gathering user feedback to iterate on prototypes.

Role

As a Full Stack Senior Software Engineer in our Product Development Team for Robotic Solutions you will work closely together with different stakeholders to develop production ready software for scalable robot applications based on our Intrinsic Platform. You will be part of the entire development journey, from scoping the right technical solution, analyzing dependencies and needs up to actual development and testing.   

How your work moves the mission forward

• Synchronize with product management and platform development to take the right architecture decisions, which ensure long term maintainability and stability. 
• Implement high quality software with state of the art tooling as part of an experienced team of developers.
• Be hands on in testing on real hardware and supporting customers where needed.
• Ensure a smooth transition of feature releases to the Customer Success Team, which will take care of most customer facing enablement and support. 

Skills you will need to be successful

• Master’s degree or equivalent practical background in Computer Science, Robotics, or a related technical field.
• Experience implementing user facing web-based frontends and associated backends in the context of robotics and industrial automation.
• Professional work experience with Python + TypeScript / JavaScript.
• Demonstrated capability in technical leadership, including setting technical direction and guiding development efforts towards successful outcomes.
• Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners.

Skills that will differentiate your candidacy

• Proven track record developing and deploying frontend and backend production code for industrial robotics and automation solutions within manufacturing or production environments.
• Good understanding of concepts such as coordinate transforms, quaternions and pose representations.
• Familiarity with web-based 3D Visualization.
• Ability to drive sustainable architecture decisions and experience with appropriate testing approaches.
• Experience with Angular, Bazel, gRPC and Protocol Buffers.

About the role

At Applied Intuition, you will:

• Develop and debug our autonomous stack on embedded compute platforms
• Work closely with machine learning engineers to optimize perception models for embedded performance
• Interface with automotive middleware and communication protocols (IPC, Ethernet, DDS)
• Support vehicle operations, SIL (Software-in-the-Loop) and HIL (Hardware-in-the-Loop) setups
• Leverage AI-accelerated development tools and workflows

We're looking for someone who has:

• 5+ years of hands-on experience in C/C++ on POSIX and RTOS environments
• Direct experience with automotive SoCs (NVIDIA Orin, Qualcomm Snapdragon Ride or similar)
• Strong low-level understanding of hardware accelerators including encoders, DSPs and GPUs
• Deep knowledge of operating systems, specifically QNX and Linux
• Hands-on experience with microcontrollers, hardware debuggers and flashing interfaces

Nice to have:

• Advanced degree (MSc or PhD) in Computer Science, Robotics, Electronics or related fields
• Experience with ADAS or autonomous driving systems
• Machine learning experience, ideally in perception
• Full product cycle experience from first prototype to series production
• Familiarity with ISO 26262, ASIL or MISRA C++

As a part of Tenstorrent’s Automotive and Robotics team, you will lead the definition of fully enabled software stacks for ADAS, IVI, and robotics domains across applications processors, microcontrollers and AI accelerators in advanced heterogenous edge computing environments.  You will be an industry leader in enabling wide adoption of the Risc-V architecture into these spaces. You will work across domains and across partners to define and coordinate how software will enable the next generation of open compute architectures.

This role is remote, based out of Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You are an expert in software architecture for automotive and/or robotics.
• You understand software architecture, operating systems, hypervisors, middleware and applications.
• You understand heterogeneous compute architectures and how to enable them with full software support. 
• You are familiar with software development flows using for ISO26262, IEC61508 and ASPICE.  

What We Need

• Lead the definition and development of software stacks for chiplet-based SoCs in automotive ADAS and Infotainment as well as various robotics applications.
• 5+ years of experience working across multiple software development teams to coordinate efforts. 
• Work with customers and partners to align on a software strategy. 

What You Will Learn

• How to enable fully working software stacks in a multi-vendor environment.
• How to enable different automotive and robotics architectures and software stacks using the same silicon and base software enablement.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As part of Tenstorrent’s Automotive RTL team, you will help design and deliver the core hardware modules inside our next generation chiplet based SoC. This is a hands on role where your RTL will ship in silicon, powering real automotive systems under strict performance and safety constraints. If you are looking to build silicon that actually matters, not just compile, this is where you want to be.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Design-first, spec-driven, and used to debugging silicon the hard way. 
• Know how to translate system requirements into clean, testable RTL. 
• Have experience writing and maintaining configurable, modular code. 
• Interested in building silicon that will run critical workloads in safety-sensitive environments. 
• Background with high-speed die-to-die interfaces preferred (UCIe, BoW, etc).

What We Need

• An engineer with 5+ years of experience to develop and own RTL for key modules in Tenstorrent’s automotive SoC chiplets. 
• Someone who can collaborate with IP vendors and internal teams to configure and integrate complex subsystems. 
• Detail-oriented in writing microarchitecture specs and translating them into clean, efficient RTL. 
• Passion to jump into chiplet-level integration, testing, and bring-up from day one.

What You Will Learn

• How automotive-grade RTL differs from consumer silicon and why it matters. 
• What it takes to bring up a custom chiplet in a real automotive use case. 
• Why chiplets demand more ownership and reward deeper engineering. 
• How cross-functional communication accelerates hardware development.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is looking for a Sr. Design Verification Engineer to lead verification efforts on state of art digital designs. This role owns verification strategy, builds advanced test environments, mentors engineers, and ensures designs are fully tested for functionality, performance, and quality. You will help shape how we verify the compute engines that power the open future of AI and high performance compute.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Lead the definition and execution of comprehensive verification plans for complex digital blocks and systems.
• Drive verification methodologies and strategy across projects, setting best practices and standards.
• Build advanced test environments using SystemVerilog and UVM, and execute testbenches, cases, and coverage.
• Collaborate with architecture, design, and software teams to align on specifications and debug issues.
• Guide and mentor junior engineers, contributing to a high performing verification team.

What We Need

• 10+ years of industry experience in digital design verification with a strong record of technical leadership.
• Deep expertise in SystemVerilog and UVM, along with familiarity with formal verification methods.
• Strong understanding of computer architecture, microarchitecture, and SoC integration.
• Hands-on experience with tools like Questa, VCS, or similar simulation environments.
• Excellent communication skills and the ability to lead cross functional collaboration.

What You Will Learn

• Work at the intersection of next gen RISC V CPUs and AI accelerators in a chiplet based architecture.
• Influence verification strategy across multiple product lines in a rapidly evolving tech environment.
• Collaborate with top tier hardware architects and software teams building full stack solutions.
• Gain exposure to silicon bring up, post silicon validation, and end to end product delivery.
• Help shape industry leading verification methodologies in a fast paced, innovation first culture.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As part of Tenstorrent’s Automotive Robotics team, you will help design and deliver the core hardware modules inside our next generation chiplet based SoCs for automotive products. You will be the bridge between silicon design, DFT, OSAT partners, and customers to ensure our multi die SiP platforms meet aggressive performance, quality, and safety targets.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Experienced with industry standard ATPG and DFx insertion CAD tools.
• Fluent in RTL coding for DFx logic including lock-up latches, clock gates, and scan anchors.
• Able to translate system and safety requirements into concrete constraints on package architecture, DFT insertion, and support test engineering with planning, patterns, and debug.
• Comfortable working in a cross functional role that extends beyond DFT, including low power designs with multiple clock domains.
• Knowledge of fault models including Stuck-at, Transition, Gate-Exhaustive, Path Delay, IDDQ, and Cell Aware.
• Exposure to post-silicon testing and tester pattern debug are major assets.
• Experience with Fault Campaigns a plus.

What We Need

• Define DFx strategy for multi chiplet packages from architecture through high volume production.
• 10+ years of experience working across multiple teams and multiple companies to coordinate test, yield, and quality efforts.
• Feed lessons learned back into next generation SiP architectures, DFT strategy, and test content.
• MBIST, LBIST, IST planning, implementation, and verification.
• JTAG, Scan Compression, and ASST implementation.
• ATPG and test coverage analysis using industry standard tools.

What You Will Learn

• How to bring a SiP to high volume, automotive grade production.
• How chiplets, RISC V CPUs, AI accelerators, and die to die links come together in a unified automotive platform.
• How to trade off package architecture, DFT, and test cost to hit aggressive performance, quality, and reliability targets.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking a high impact Emulation Engineer to help bring our SiP based AI or ML engines to life through scalable, high performance emulation platforms. This role is ideal for someone who thrives on technical ownership, solves system level problems, and wants to influence silicon debug, DV, and performance from the ground up. You will build the infrastructure that allows our chiplet based systems to be explored, tested, and validated across hardware, software, and architectural layers.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Bring 10+ years of SoC or ASIC experience, including a deep understanding of logic design, verification, and emulation platforms.
• Fluent in Verilog or SystemVerilog, C or C++, and SystemC, with hands-on experience using commercial emulators such as ZeBu, Palladium, or Veloce.
• Confident in architecting DV and emulation environments, from transactors to monitors to debug hooks, and automate everything you can.
• Collaborative and self driven, with a passion for mentoring junior engineers and working cross functionally with architecture, software, and DV teams.

What We Need

• A passion to build and scale a multi chiplet emulation ecosystem that supports DV, software development, and power or performance debug.
• Comfort in developing testbenches, transactors, monitors, and support systems to enable high quality, high efficiency emulation usage.
• Experience in driving emulation coverage from functional and performance to low level software enablement, and automate as much of the flow as possible.
• To optimize the platform for frequency, resource sharing, and end user support, ensuring Tenstorrent teams get the most from emulation.

What You Will Learn

• Building an emulation flow that supports chiplet based SiPs at scale, spanning AI workloads, interconnects, and system level power.
• How Tenstorrent integrates AI engines, RISC V CPUs, die to die links, PCIe, UCIe, and memory controllers into one unified platform.
• To align virtual prototyping, power analysis, and emulation into a full stack validation solution.
• How emulation sits at the core of a cross functional silicon bring up strategy, from RTL to post silicon debug and customer delivery.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is leading the industry on state of art AI technology, having developed high performance RISC V CPUs from scratch and fostering a deep passion for building the best AI platforms. We are now extending this philosophy to our Open Chiplet Atlas initiative, an open ecosystem built to connect diverse partners around a shared architecture. This role sits at the front line of that effort, driving real adoption with customers and partners.

This role is remote, based out of Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Comfortable operating at the intersection of technology, ecosystem partners, and business strategy.
• A strong communicator who ensures alignment across technical, business, and partner teams.
• Proactive, adaptable, and capable of thriving in the ambiguity of building a new ecosystem.
• Driven by impact and motivated to shape the future of chiplet based computing platforms.

What We Need

• Bachelor’s degree in a technical field, for example, Engineering or Computer Science, or equivalent practical experience demonstrating deep technical understanding. An MBA is a strong plus.
• 5+ years of experience in technical marketing, technical support, and customer engagement within the semiconductor industry.
• Good understanding of chiplet or SoC architecture, silicon design flows, and system level tradeoffs.
• Experience with HDLs (Verilog/VHDL), industry standard ASIC SoC design tools and flows, familiarity with chip packaging technologies, and chiplets is a plus
• Familiarity with the semiconductor industry, including industry standards bodies, for example, PCI SIG or CXL Consortium, or interconnect protocols, for example, UCIe or AMBA. Experience working with open source hardware projects is a plus.
• Exceptional communication and presentation skills, with the ability to influence both technical and executive audiences.

What You Will Learn

• How an open chiplet ecosystem integrates diverse IP, designs, and software from multiple partners.
• The strategic balance of market requirements, partner needs, and technical tradeoffs, including performance, cost, and interoperability, for an open standard.
• Best practices for launching, managing, and scaling an industry wide compliance and certification program.
• Insights into emerging business models and technologies in heterogeneous computing and open hardware.
• How to build consensus and drive adoption across a diverse, global community of partners and customers.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As part of Tenstorrent’s Automotive Robotics team, you will help define and develop silicon hardware for mobility and robotics solutions. You will work with architects and hardware designers to make the right tradeoffs between performance, safety, and cost. You will lead the creation of safety work products and drive safety analysis across a range of hardware modules.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• An expert in silicon hardware development, with robotics or automotive systems knowledge as a plus.
• Experienced in ISO26262, IEC61508, and or other relevant safety standards.
• Excellent at working with hardware designers to define novel solutions that maximize performance and safety.

What We Need

• Somebody able to work with RTL designers to make safe design decisions.
• 5+ years of experience with executing, and helping others execute; required safety analysis and safety work products.
• Somebody able to work with team members and safety assessors to certify hardware designs.

What You Will Learn

• Every facet of hardware design for the automotive and robotics semiconductor industry.
• How cutting edge machine learning and AI shape safety critical compute platforms.
• Improving workflows and validation practices in a fast-moving environment.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

The Architecture team at Tenstorrent is designing the central compute chiplet that powers our next generation automotive SoC. This role is about turning real world automotive and safety requirements into architecture that performs, scales, and ships fast and reliably. If you think silicon design should start with clarity and end with confidence, this is where your experience makes the biggest impact.

This role is remote, based in Munich, Germany.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Approach design with a systems mindset, always thinking in trade offs, not just specs and block diagrams.
• Bring deep knowledge of SoC architecture, from interconnects and I/O to memory and CPUs.
• Confident working within performance, power, and reliability constraints.
• Familiar with, or eager to dive into, functional safety, ISO 26262, and automotive grade design challenges.

What We Need

• Someone to architect and specify one or more chiplets in the robotics and automotive family.
• 5+ years of experience translating high level requirements into detailed architectural direction.
• Ability to identify impactful features that boost PPA, safety, and reliability, without adding unnecessary complexity.
• Willingness to collaborate across design, verification, software, and systems teams to keep execution moving.

What You Will Learn

• What it takes to architect a chiplet based SoC for automotive applications.
• How functional safety and reliability shape every design decision.
• How to integrate complex IP blocks and CPU subsystems into a coherent, shippable product.
• Why silicon architecture is a cross functional discipline, not just a collection of isolated blocks.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

About the role

Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain.

The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time.

At Applied Intuition, you will:

• Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling
• Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
• Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages)
• Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation
• Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs
• Translate customer feedback into actionable product insights for the Applied engineering team
• Manage technical workstreams and milestones across multi-stakeholder customer programs

We're looking for someone who has:

• 3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company
• Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications
• Familiarity with CI/CD pipelines in an automotive or embedded software context
• Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics
• Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction
• Degree in computer science, electrical engineering, robotics, or related field
• Intermediate Programming experience in Python and/or C++
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Customer-facing experience and strong communication and presentation skills
• Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar)
• Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation
• Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE
• Experience with ML/AI pipelines for model training or perception system evaluation
• Background in fleet data operations, OTA, or post-SOP data-driven improvement loops

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. 

About the role

Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain.

The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time.

At Applied Intuition, you will:

• Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling
• Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
• Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages)
• Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation
• Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs
• Translate customer feedback into actionable product insights for the Applied engineering team
• Manage technical workstreams and milestones across multi-stakeholder customer programs

We're looking for someone who has:

• 3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company
• Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications
• Familiarity with CI/CD pipelines in an automotive or embedded software context
• Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics
• Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction
• Degree in computer science, electrical engineering, robotics, or related field
• Intermediate Programming experience in Python and/or C++
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Customer-facing experience and strong communication and presentation skills
• Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar)
• Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation
• Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE
• Experience with ML/AI pipelines for model training or perception system evaluation
• Background in fleet data operations, OTA, or post-SOP data-driven improvement loops

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. 

About the role

We are seeking a highly motivated and detail-oriented Engineering Technician (Kfz Mechatroniker für Prototypen) to join our team in Stuttgart. This hands-on role will play a crucial part in supporting the design, buildout, testing, and maintenance of our test rigs and platforms. At Applied Intuition, we encourage team members to take ownership over technical and product decisions, and contribute to a thoughtful, dynamic team culture.

At Applied Intuition, you will:

• Troubleshoot vehicle systems, computer components, and sensors, performing root cause analysis and calibration.
• Manage an inventory system for all components and lab supplies, maintaining organization and efficiency.
• Manage the procurement process for key components and maintain relationships with key suppliers.
• Work collaboratively to minimize vehicle downtime while prioritizing safety and performance.

We’re looking for someone who has:

• 2+ years of technical experience in mechanical, electrical, computer, automotive, or robotics industries.
• Proven ability to assemble prototypes, electrical wiring, and cable assemblies according to engineering instructions.
• Strong understanding of electrical schematics and datasheets, ensuring accurate interpretation and implementation.
• Experience documenting and maintaining detailed assembly procedures for clarity and future reference.
• Practical experience working in a shop, lab, or assembly environment, demonstrating proven soldering skills and a commitment to high-quality workmanship.
• Familiarity with shop equipment, 3D printers, and automotive diagnostic tools.
• Enthusiasm for learning new technologies and thriving in a fast-paced environment.
• Strong organization and communication skills, effectively collaborating with team members and maintaining an accurate inventory system.

Nice to have:

• Familiarity with Python or other programming languages, enhancing troubleshooting and automation capabilities.
• Understanding of ROS and Linux operating systems, contributing to software integration and testing activities.
• CNC, machining, metalworking, and welding skills, allowing for advanced fabrication and repair tasks.
• Knowledge of automotive repair and maintenance, providing additional problem-solving expertise.
• Practical experience with AV components like LiDARs, radars, and cameras, ensuring comprehensive understanding of the vehicle systems.
• Ability to design, draw, and prototype custom harness cables, contributing to innovative solutions.
• Familiarity with CAD software (Solidworks preferred) for navigating, designing, or modifying 3D models.

Join us as a System Safety Engineer (all genders) to strengthen our Safety Operations team for autonomous vehicle programs.

At MOIA, we are shaping the future of autonomous mobility. As we move towards driverless SAE Level 4 operations in public traffic, safety becomes even more deeply embedded in the way we design, operate, and continuously improve our services.

With the safety driver no longer part of the operational setup, risks increasingly emerge from the interaction of complex systems: the autonomous driving stack, remote operations, hub infrastructure, service processes, and the people working with them.

As a System Safety Engineer, you will help build the safety organization for driverless autonomous vehicle operations. You will look at the full socio-technical system end to end, model its dependencies, identify operational risks, and support well-founded safety decisions using methods such as FTA, FMEA, STPA, and Bow-Tie analysis.

What you will do

• Model the overall operational system — including vehicle, remote center, hub management, service, and development — as a system of systems, with a strong focus on risks at interfaces.
• Conduct systematic hazard identification and risk analysis at system level, using methods such as FTA, FMEA, STPA, HAZOP, and Bow-Tie.
• Review and assess safety evidence and argumentation structures, including safety cases, safety concepts, and HARA, as part of vehicle acceptance into fleet operations.
• Evaluate the safety impact of software releases and new operational configurations.
• Maintain the operational Risk Dossier, prepare Safety Risk Acceptability decisions, and track mitigations through to closure.

What will help you to fulfill your role 

Must-haves:

• Experience in safety-critical environments, such as functional safety, system safety, or operational safety in complex, software-driven systems, including autonomous vehicles, robotics, aviation, rail, or similar domains.
• Strong systems thinking and the ability to model interdisciplinary systems of systems and analyze their interactions.
• Hands-on experience with system-level safety analysis methods such as FTA, FMEA, STPA, HAZOP, or Bow-Tie — beyond component-level analysis.
• A structured, process-oriented mindset and strong attention to detail.
• The ability to balance safety, operational continuity, and regulatory expectations.
• A high sense of responsibility, integrity, and ownership for safety.
• Fluent English and good German skills, both spoken and written.

Nice-to-have

• Understanding of Level 4 autonomous driving architectures, operational design domains, and human-machine interaction in operational contexts.
• Experience in operational safety, incident response, or fleet operations within a regulated environment.
• Experience supporting regulatory assessments, audits, or safety approvals.
• The ability to synthesize complex technical information into coherent safety arguments for both technical and non-technical audiences.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

At Alpine Eagle, we’re building the future of counter-drone defence. We’re a fast-growing, international deep-tech company working at the intersection of aerospace engineering, defence systems, and machine learning. Our goal: create the world’s first swarm-based, airborne counter-drone system.

Modern conflicts show how quickly drones are reshaping the battlefield. Threats are rising, and today’s solutions aren’t keeping pace. We’re here to change that.

Alpine Eagle isn’t just a defence company. It’s a mission. Backed by an international team, strong funding, and a bold vision, we’re looking for people who want to shape the next generation of aerial security and build something that truly matters.

The Chief of Staff will be the CEO’s trusted partner across strategy and operations, driving high-impact strategic and operational initiatives across our defence drone-tech startup.

🎯 How you will make an impact:

• Drive high-priority strategic and operational projects directly with the founder and CEO, from planning through execution.

• Prepare materials for investors, partners, and government stakeholders, including briefs, analyses, and funding-related documents.

• Conduct market, competitor, and regulatory research within the defence, aerospace, and dual-use technology sectors.

• Support fundraising activities by coordinating documents, financial models, and timelines.

• Coordinate cross-team communication and ensure smooth execution between engineering, operations, and external partners.

• Work closely with founders on strategic decision-making, data-driven prioritization, and KPI tracking.

• Assist in preparing pitches, demos, and presentations for customers in defence, security, and government agencies.

• Manage special projects that require technical curiosity, operational discipline, and discretion.

✅ What you need to be successful:

• Fluency in German and English.

• Min. 3 years of experience in a start-up tech company, defence-consulting, VC, or a similarly fast-paced environment.

• Experience with financial analysis, fundraising support, or investor materials is a strong plus.

• Strong interest and prior experience in defence, security, aerospace, robotics, or dual-use technologies.

• Ability to navigate sensitive or confidential information with absolute professionalism.

• Highly structured working style, strong analytical and problem-solving skills, and an ability to “figure things out” without perfect guidance.

• Comfortable working in an early-stage environment with shifting priorities and hands-on tasks.

• Excellent communication skills internally and externally.

At Alpine Eagle, you're not just taking a job - you're joining a mission.

Join us as a SOTIF Expert (all genders) in our SOTIF team and help shape the future of autonomous mobility!

Join an international team working on one of the most exciting and demanding challenges in the automotive industry: bringing automated driving into series production. Together with colleagues from technical development and cross functional teams, you will contribute to the development of the ID. Buzz AD (Autonomous Driving).

A crucial phase in the development of highly automated vehicles is ensuring safety with respect to behavioral safety (SOTIF). The relevant standard ISO 21448 requires continuous advancement of processes and technologies. These must be implemented, assessed, and refined in close collaboration with technical development teams and external partners.

In this role, you will identify, implement, and evaluate SOTIF-relevant safety processes, methods and artifacts. You will also develop and assess new technologies and methodologies to analyze and validate the safety of automated driving software systems and their functional components

What you will do

• Identify and develop essential process steps, methods and tools incl. milestones to enable SOTIF release recommendation for automated driving systems.
• Define requirements necessary to achieve behavioral safety.
• Evaluate SOTIF artefacts in collaboration with system experts, software development teams, and test specialists.
• Develop a comprehensive V&V (Verification & Validation) strategy for SOTIF, and define and assess relevant test requirements, metrics, and strategies for system- and component-level testing.
• Execution of SOTIF test campaigns in the verification and validation phase.
• Assess and support the end-to-end SOTIF process leading to a SOTIF release recommendation.

What will help you to fulfill your role 

• Expertise in safety assurance and safety standards for autonomous systems (ISO 21448, ISO 26262, ISO 3450x, UL 4600, ISO 5083, …)
• Requirements engineering
• Creation and maintenance of scenario and triggering condition catalogues for testing
• Strong experience in V&V or test management for automated driving, robotics, or ADAS
• Software engineering, development, and testing
• Statistics, testing methodologies, and simulation environments
• Ability to communicate complex topics clearly and confidently to engineering teams, management, and safety stakeholders.
• Strong analytical skills, a structured mindset, and a high sense of quality.
• Fluent English skills, German skills are highly beneficial.

We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

Locus Robotics is transforming how the world’s leading brands run their warehouses, using AI and advanced robotics to move faster, smarter, and more efficiently than ever before. Our LocusONE platform powers autonomous mobile robots that integrate seamlessly into existing operations, helping teams scale quickly, reduce costs, and keep up with growing demand.

Trusted by more than 150 leading retail, healthcare, 3PL, and industrial organizations across 350+ sites worldwide, we deliver real, measurable impact every day. Our Robots-as-a-Service model removes barriers to adoption and drives continuous innovation, giving customers the flexibility to adapt as their operations evolve. At Locus, you are working on technology that is actively reshaping supply chains and solving complex, real-world challenges at scale.

As a Customer Success Manager / Program Manager, you will collaborate closely with European customers to ensure their success and build strong, long-term partnerships through the Locus Robotics solution. This is a dynamic, high-visibility role that offers the opportunity to collaborate across all technical teams within the Locus Robotics organization. You will bring a unique blend of project management, training, leadership, and relationship management expertise to drive customer success and ensure exceptional outcomes for Locus Robotics’ clients.

Responsibilities

• Provide daily operational support for customers sites to ensure smooth system performance.
• Manage customer satisfaction throughout the deployment period and contribute to continuous process improvements.
• Act as the primary point of contact for escalated technical issues, ensuring timely resolution.
• Support key technical tasks, including warehouse mapping, preventative maintenance, and system upgrades.
• Facilitate change requests, clearly communicating impacts on project timelines and budgets to all stakeholders.
• Prepare and deliver status reports by collecting, analyzing, and summarizing key operational metrics (e.g., Throughput, UPH, Lines Per Hour).
• Conduct post-project reviews to evaluate successes, identify areas for improvement, and capture lessons learned.
• Monitor site performance to ensure contractual goals and service levels are consistently met.
• Drive system scalability to support the customer’s evolving business needs.
• Perform other duties as required to support project and customer success.
• Other duties as required.

Qualifications

• Bachelor's Degree in Computer Science, Engineering, CIS or a related technical field.
• 3+ years' hands-on experience with 3PL, Warehouse, or logistics operations.
• Ability to communicate technical/complex information both verbally and in writing.
• Aptitude to multitask and respond to emergency situations effectively.
• Knowledge of and interest in diverse technical topics, including software, hardware, and robotics.
• Self-motivated and able to solve problems independently and in customer settings.
• Ability to travel up to 30% throughout EMEA is required.
• Proficient English and native German written and verbal communications skills required to collaborate effectively with internal and external teams. 

Additional Information 

Locus Robotics is an equal opportunity employer. 

Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.

Meet the application engineers!

About the role

The Role 

We’re seeking an exceptional Engineer to join our Germany-based Application Engineering team, focused on localising and advancing Wayve’s autonomous driving technology for the German market. You’ll play a pivotal role in integrating, validating, and optimising our MPC-based trajectory controller and AI software stack on new vehicle platforms ensuring safe, reliable, and high-performance driving in diverse real-world conditions.

This is a unique opportunity to work at the intersection of controls, systems integration, and applied machine learning, helping expand our AV capabilities across new operational domains while collaborating closely with robotics, ML, and vehicle engineering experts.

Key Responsibilities

• • Integrate and validate Wayve’s AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms.
  • Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve performance, stability, and reliability across different vehicles and environments.
  • Establish and advance control and integration methods for ML-coupled systems, ensuring robustness and scalability across operational domains.
  • Test and optimise system behaviour in challenging driving scenarios — from highways to urban settings and adverse weather conditions.
  • Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and control quality.
  • Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and resolve integration and performance issues.

About you  

In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential:

• Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation and numerical methods.
• Practical experience in developing and tuning control systems for physical systems, both in simulation and in the real world.
• Experience productionising and scaling systems including real-time controllers and monitoring their performance at scale.
• Strong C++ and Python.

Desirable:

• Experience with control, dynamics and modelling of road vehicles.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

This is a full-time role based in our office in Leonberg, GER. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. 

Are you an experienced software architect passionate about solving complex, safety-critical problems in the Software-Defined Vehicle (SDV) space? As an Automotive Solutions Architect, you will drive the use of RTI Connext® Drive as the unified communication backbone for next-generation vehicles. 

We are looking for a leader with significant Automotive OEM or Tier-1 experience who can provide prescriptive architectural guidance and proactively engage intimately with customers. Through Proof of Concepts (POCs) and safety design discussions, you will demonstrate detailed automotive use cases, track requirements effectively, and ensure the successful delivery of integrated, coherent software stack solutions. Your work will extend our automotive domain leadership across the industry and establish internal processes for reusing experience from prior customer engagements.

✨ What You’ll Do / Responsibilities

• Drive the integration of Connext Drive as the core connectivity platform in both safety-critical and non-safety systems, defining system-level architecture diagrams, interfaces, and data flow in large embedded E/E architectures.
• Translate high-level vehicle functional needs into technical Connext Drive requirements and establish end-to-end traceability from vehicle-level features, down to Connext Drive-based communication and middleware configuration.
• Drive Connext Drive integration strategies with AUTOSAR Classic and Adaptive platforms and understand how Connext Drive fits into customer systems.
• Work with customer safety teams and RTI’s Safety Manager to ensure Connext Drive integration aligns with ISO 26262, ASPICE, and cybersecurity requirements (ISO/SAE 21434).
• Develop Proof of Concepts (POCs) to demonstrate latency, determinism, fault tolerance, and scalability of Connext Drive in in-vehicle communication networks; support teams in defining integration test strategies, simulations, and validation of Connext Drive-enabled communication frameworks in HIL/SIL environments.
• Articulate detailed automotive use cases and track and document customer requirements for roadmap integration; foster deep curiosity about customer business needs by asking "why,"; establish processes for reusing experience from prior customer engagements.
• Analyze and define data modeling, QoS configurations, and partitioning strategies to enable safe coexistence of safety-critical and non-safety traffic; provide technical guidance, assistance, and prototype proof-of-concept projects to customers.
• Create and maintain architecture documentation, interface definitions, and configuration guidelines; provide onsite technical training, configuration/code review, design guidance, and debugging of complex distributed systems.
• Lead cross-functional discussions and mentor platform teams to align stakeholders for architectural consistency.
• Create and maintain shared artifacts to help customers accelerate their transition to SDVs with Connext Drive (e.g. reference architectures, guides for using tooling to enable automation, common testing approaches with SIL and HIL, etc).

🎯 What We’re Looking For / Requirements

• Degree in Computer Science or a related field (Advanced degree preferred), with software development experience in C/C++ and embedded systems.
• 10+ years at an Automotive OEM or a leading Tier-1 supplier that develops complex vehicle systems/modules.
• Involved in delivery of end to end architecture solutions as part of a production project/program.
• Expert capability to define E/E architecture designs and data flow for distributed, embedded systems.
• Proficient in automotive communication protocols such as CAN, CAN FD, Ethernet, and SOME/IP, with practical experience in network stack configuration and performance tuning.
• Understanding of functional safety concepts (ASIL, ISO 26262, safety mechanisms) to assess the impact of Connext Drive on safety paths in communication.
• Experience with ROS 2, Adaptive AUTOSAR, or similar middleware frameworks.
• Expertise to write clear, structured requirements and architecture documentation aligning with project safety, performance, and scalability goals.
• Experience with performance analysis and benchmarking ability to evaluate latency, determinism, CPU usage, and memory footprint for Connext Drive in automotive systems.
• Exceptional team player with the ability to build "trusted-advisor" relationships with customers and work successfully in highly distributed teams.
• Travel: Must be able to travel (25–40%) to work with our customers onsite, recognizing that travel can approach 50% when loading is high.

Don’t meet every single requirement? At RTI, we are dedicated to building a diverse, inclusive, and authentic workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about RTI’s Diversity initiatives here!

💎 Nice To Have / Preferred Skills

• Proficiency with the AUTOSAR BSW stack (MCAL, OS, COM, MEM, Diagnostic layers) to map system requirements to BSW services and debug integration issues. 
• Awareness of Cybersecurity (ISO 21434) considerations in automotive communication stacks.
• Experience with DDS is a huge plus.

🌟 What We Offer You 

• Flexible working schedule.
• Remote working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Annual bonus based on individual and company performance + other prizes and awards. 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for seven consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

Über Capgemini Invent

Capgemini Invent ist die weltweite Beratungseinheit der Capgemini-Gruppe für digitale Innovation, Design und Transformation. Sie ermöglicht CxOs, die Zukunft ihrer Unternehmen zu gestalten. Dafür arbeiten über 13.500 Mitarbeiterinnen und Mitarbeiter in über 40 Kreativstudios sowie an mehr als 70 Standorten weltweit. Sie vereinen Strategieberatung, Data Science, Produkt- und Experience Design, Markenmanagement sowie Technologie-Know-how, um neue Digitallösungen, Produkte, Umgebungen als auch Geschäftsmodelle für eine nachhaltige Zukunft zu entwickeln.

Capgemini Invent ist integraler Bestandteil von Capgemini, einem globalen Partner für KI-gestützte Geschäfts- und Technologie-Transformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realität werden lässt. Seit fast 60 Jahren steht Capgemini für Verantwortung wie auch Vielfalt und beschäftigt über 420.000 Mitarbeitende in mehr als 50 Ländern. Das End-to-End-Leistungsspektrum gründet auf einer umfangreichen Branchenexpertise, einem starken Partner-Ökosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.

Make it real | www.capgemini.com/de

Be part of our journey

• Innovative Projekte und internationale Teams sowie ein erfolgreiches Wachstum in digitalen Zukunftsthemen
• Die Aufgabe, Strategie- und Transformationsprojekte zu konzipieren und zum Erfolg zu führen
• Langjährig gelebte, auf Werte ausgerichtete Unternehmenskultur
• Transparente Karriereperspektiven und Weiterbildungsmöglichkeiten innerhalb eines weltweiten Expertennetzwerks
• Langfristig ausgerichtetes Work-Life-Balance-Modell

Get the future you want

• Erarbeitung und Implementierung von Finance Strategien und des Target Operating Models für den CFO-Bereich
• Unterstützung von cross-funktionalen Projektteams in einer führenden Management Beratung an der Schnittstelle zwischen Strategie, Business und IT
• Optimierung entlang der E2E-Prozesse z.B. Finance-to-Management
• Accounting & Closing Innovation –  Unterstützung bei der Umsetzung regulatorischer/ IFRS Vorgaben, Optimierung von Accounting- und Abschlussprozessen
• Regulatory Reporting Innovation (FS) – Umsetzung von Meldewesen-Vorgaben, Optimierung von neuen Meldewesen-Lösungen und Prozessen
• Inventive Controlling & Steering – Konzeption von Management-Reporting auf Basis aktueller Analytics-Lösungen, Design von globalen Steuerungskonzepten für unsere international agierenden Kunden, Entwicklung von integrierten und innovativen Planungs- und Forecasting-Konzepten
• Treasury - Konzeption und Implementierung moderner Treasury Management Lösungen
• Spannende Digitalisierungsprojekte im Rahmen von weltweiten Transformationen von Finanzarchitekturen (u.a. SAP S/4 HANA)
• Finance PMI – Begleitung von Post-Merger-Integrations und Zusammenschlüssen
• Kundenspezifische Analyse und Bewertung von neuen Technologien (a. künstliche Intelligenz, Robotics) und deren Auswirkungen auf den CFO-Bereich

Your skills & career

• Mehrjährige praktische Projekterfahrung rund um das Thema Finance
• Erste Verantwortung als (Teil-) Projektleitung für Transformationsprojekte
• Langjährige Erfahrungen in unseren Finance, Controlling und Treasury Fokusthemen
• Kenntnisse in gängigen Finanzapplikationen wie z.B. S/4HANA Finance, Reporting- Konsolidierungssystem oder Treasury Management Applikationen
• Einen herausragenden Studienabschluss (Bachelor / Master) mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Unternehmensberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Die ausgeschriebene Vakanz ist ganzjährig zu besetzen. 

Wir freuen uns über deine vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal unter Angabe deiner Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie deiner Standortpräferenz.

Hier findest du weitere Informationen zu unserem Bewerbungsprozess.

Wende dich bei Fragen bitte an sophie.virneburg@capgemini.com

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

• Erarbeitung und Implementierung von Finance Strategien sowie des Target Operating Models für den CFO-Bereich
• Unterstützung von cross-funktionalen Projektteams in einer führenden Managementberatung an der Schnittstelle zwischen Strategie, Business und IT
• Optimierung entlang der E2E-Prozesse, z.B. Finance-to-Management
• Accounting & Closing Innovation – Unterstützung bei der Umsetzung regulatorischer/IFRS Vorgaben, Optimierung von Accounting- und Abschlussprozessen
• Regulatory Reporting Innovation – Umsetzung von Meldewesen-Vorgaben, Erarbeitung neuer Meldewesen-Lösungen und -Prozessen
• Inventive Controlling & Steering – Konzeption von Management-Reporting auf Basis aktueller Analytics-Lösungen, Design von globalen Steuerungskonzepten für unsere international agierenden Kunden, Entwicklung von integrierten und innovativen Planungs- und Forecasting-Konzepten
• Treasury-Konzeption und Implementierung moderner Treasury Management Lösungen
• Spannende Digitalisierungsprojekte im Rahmen von weltweiten Transformationen von Finanzarchitekturen
• Finance PMI – Begleitung von Post-Merger-Integrations und Zusammenschlüssen
• Kundenspezifische Analyse und Bewertung neuer Technologien (u.a. künstliche Intelligenz, Robotics) und deren Auswirkungen auf den CFO-Bereich

Dein Profil

• (Erste) Praktische Projekterfahrung rund um das Thema Finance
• Einen herausragenden Studienabschluss mit wirtschaftlicher, technischer oder informationstechnologischer Ausrichtung
• Idealerweise Kenntnisse über relevante Software im Bereich Finance, Data Management oder Business Intelligence
• Spaß an der Kombination von technologischem Verständnis, strategischer Analyse und Umsetzungsarbeit
• Hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Unternehmensberatung
• Ausgeprägte Präsentations- und Moderationsfähigkeiten sowie sehr gute MS-Office-Kenntnisse
• Exzellente Deutsch- und Englischkenntnisse

Was du bei uns schätzen wirst

• Innovative Projekte und internationale Teams sowie ein erfolgreiches Wachstum in digitalen Zukunftsthemen
• Die Aufgabe, Strategie- und Transformationsprojekte zu konzipieren und zum Erfolg zu führen
• Langjährig gelebte, auf Werte ausgerichtete Unternehmenskultur
• Transparente Karriereperspektiven und Weiterbildungsmöglichkeiten innerhalb eines weltweiten Expertennetzwerks
• Langfristig ausgerichtetes Work-Life-Balance-Modell

Über Capgemini Invent

Capgemini Invent ist die weltweite Beratungseinheit der Capgemini-Gruppe für digitale Innovation, Design und Transformation. Sie ermöglicht CxOs, die Zukunft ihrer Unternehmen zu gestalten. Dafür arbeiten über 13.500 Mitarbeiterinnen und Mitarbeiter in über 40 Kreativstudios sowie an mehr als 70 Standorten weltweit. Sie vereinen Strategieberatung, Data Science, Produkt- und Experience Design, Markenmanagement sowie Technologie-Know-how, um neue Digitallösungen, Produkte, Umgebungen als auch Geschäftsmodelle für eine nachhaltige Zukunft zu entwickeln.

Capgemini Invent ist integraler Bestandteil von Capgemini, einem globalen Partner für KI-gestützte Geschäfts- und Technologie-Transformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realität werden lässt. Seit fast 60 Jahren steht Capgemini für Verantwortung wie auch Vielfalt und beschäftigt über 420.000 Mitarbeitende in mehr als 50 Ländern. Das End-to-End-Leistungsspektrum gründet auf einer umfangreichen Branchenexpertise, einem starken Partner-Ökosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.

Make it real | www.capgemini.com/de

Wir freuen uns über deine vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal unter Angabe Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie deiner Standortpräferenz.

Die ausgeschriebene Vakanz ist ganzjährig zu besetzen.

Hier findest du weitere Informationen zu unserem Bewerbungsprozess.

Wende dich bei Fragen bitte an damian.mroz@capgemini.com. 

Role

In the role of Product Manager for Automation Experiences, you will be responsible for defining the essential user journeys that transition automation solutions from development to full-scale production. You will collaborate closely with solution developers and their end-user clients, necessitating roughly 10% travel, to identify and address the practical difficulties of deploying, managing, and maintaining these systems. Your insights will be instrumental in refining our software product experiences. By joining us, you help realize our core mission: enabling the global industry to reinvent the future of industrial automation.

How your work moves the mission forward

• Partner with Solution Builders and their end-user clients to gain insights into the requirements and obstacles associated with transferring, operating, maintaining, and debugging automation solutions.
• Work together with design and user research teams to construct a compelling, lucid strategy for integrating these user journeys into Intrinsic Platform tools and experiences.
• Maintain a rigorous focus on the user throughout the development of these journeys by providing engineering teams with detailed requirement specifications and impactful storytelling.

Skills you will need to be successful

• Bachelor's degree in a technical field, ideally automation, or equivalent industry experience.
• Proven ability to interpret user needs as technical specifications, maintaining a strong focus on the user while integrating these into comprehensive concepts and journeys.
• Proven collaboration with Engineering squads to deliver on the product vision.
• Strong analytical mindset with the ability to break down complex needs and challenges and drive effective solutions with curiosity.
• Integrity that fosters a culture of trust across product, business, and engineering.
• Outstanding communication skills, both with customers and with peers in English.

Skills that will differentiate your candidacy

• Experience in software engineering, SaaS, industrial automation and/or Robotics
• Familiarity with digital factory concepts along the automation pyramid (ERP, MES, SCADA/PLCs) and SaaS offerings around those.
• Experience with automation solutions and their operation in production environments.
• Willingness to explore new paths based on a solid understanding of state-of-the-art automation technologies and SaaS products.
• User-centric product management: Skilled in working with external stakeholders to uncover pain points and opportunities for new approaches.
• Ability to engage in technical conversations in German. 

Why this role is exciting

As a (Principal) Senior C++ Engineer in the Remote Driving Platform team, you will work on the foundational software stack that powers Vay’s driverless fleet. This is the layer that everything else depends on: health management, telemetry, safety integrations, compute performance, and the core platform enabling safe operation on public roads without a safety driver.

You will operate at the intersection of software architecture, performance engineering, and hardware evaluation, shaping the compute backbone of our remote driving system. Your work directly impacts safety, scalability, and our ability to deploy and operate thousands of vehicles globally.

Owning the platform means owning reliability, performance, and developer velocity across the organization. The scope is deep, highly technical, and critical to Vay’s long term success.

We are open to hiring at either Senior or Principal level, depending on experience and scope of ownership.

What you'll be driving

You will design and evolve the common software platform components that other engineering teams build upon. Your work will ensure that our remote driving stack is performant, observable, and production ready at scale.

In order to do that, you will:

• Design, develop, test and maintain core C++ platform components used across Vay
• Build and improve system level tooling for health management, telemetry and incident handling
• Own performance profiling and optimization across vehicle and remote driving compute
• Contribute to the evaluation and selection of compute hardware for vehicles and remote driving stations
• Improve and extend hardware in the loop test setups to accelerate feedback cycles
• Support the production fleet in Berlin and Las Vegas on a scheduled basis
• Collaborate closely with autonomy, systems and fleet teams to ensure safe and scalable deployments

This might be a great fit, if

You are a senior IC who enjoys owning complex systems end to end, from low level performance tuning to production reliability, and you care deeply about building robust software that operates in the real world. 

•  Strong proficiency in C++17 and Linux based systems
•  Experience working with ROS (ROS1 and/or ROS2)
•  Deep understanding of system profiling, debugging and performance optimization
•  Experience building production grade distributed or embedded systems
•  Passion for improving developer productivity through automation and DevOps best practices
•  Strong communication skills with a high sense of ownership and urgency

Nice to Have

• Experience with hardware evaluation and compute platform selection 
• Experience working on robotics, autonomous systems, or safety critical software 
• Interest in leveraging modern AI assisted coding tools to improve engineering velocity

Why choose Vay

💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary

🌴 Unlimited Paid Vacation Days

🎫 Subsidised Deutschland ticket (Berlin)

🏋️‍♂️ Subsidised Urban Sports Club or FitX Membership 

🚗 All Vay team members receive 30% off their Vay rides

🛍️ Exclusive external discounts

💼 €350 Home Office Set-up 

✈️ Relocation financial assistance when relocating to Berlin 

📚 Fully funded German Lessons 

🎊 Regular team events throughout the year

9 month contract with possibility to extend further

Location preference: Bad Neustadt an der Saale

Position Overview

Carbon Robotics is seeking a hands-on Service Technician responsible for the inspection, repair, refurbishment, and redeployment of laser weeding modules.

This role reports to the Field Operations team and focuses on keeping modules operational and circulating efficiently between field machines and service locations. The technician will diagnose failures, perform repairs, document work, and help maintain inventory of ready-to-deploy modules at main bases and also at remote locations.

The ideal candidate is mechanically inclined, organized, proactive, and comfortable working with tools and technical equipment.

Key Responsibilities

Module Service & Repair

• Inspect returned weeding modules for defects, failures, or performance issues
• Perform troubleshooting, repair, and refurbishment of modules
• Replace components and conduct functional verification before redeployment
• Ensure serviced modules meet operational standards before returning them to inventory
  
  

Inventory & Logistics

• Maintain accurate records of module status, repair history, and inventory levels
• Prepare serviced modules for redeployment to field teams
• Help maintain a ready stock of modules to support field operations

Documentation & Procedures

• Follow established service procedures and repair protocols
• Maintain detailed service logs and documentation
• Contribute to improving repair procedures and service documentation
  
  

Field Support

• Travel to support field teams when necessary
• Assist with module replacement or troubleshooting on customer machines
• Help replenish module stock in regional locations

Qualifications

Required

• Strong mechanical aptitude and comfort working with tools
• Ability to follow technical procedures and maintain accurate documentation
• Hands-on problem-solving mindset
• Organized and disciplined with record keeping
• Valid driver’s license
• Willingness to travel up to 50%

Ability to work independently and take initiative

Preferred

• Experience servicing electromechanical systems or agricultural equipment
• Experience with robotics, sensors, or automated equipment
• Field service or equipment maintenance experience
• Basic understanding of troubleshooting electronics or mechanical assemblies

Role

As a Senior Research Scientist focused on Robotic Foundation Models, you will be responsible for the design and implementation of systems that enable the training, deployment, and utilization of large-scale AI models for robotics. You will guide technical direction, mentor engineers, and ensure the development of robust, scalable ML models  required to make robots significantly more capable in real-world environments. Your work will empower both internal teams and external partners by providing accessible tools and infrastructure for injecting advanced machine learning techniques into robotic applications.

How your work moves the mission forward

• Lead the design and implementation of infrastructure and architecture of large-scale robotic foundation models.
• Oversee the training and deployment of robust ML models for high-performance robotic applications.
• Empower ML researchers and engineers with accessible tools and infrastructure for developing and applying AI techniques in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver successful solutions for partners and customers.

Skills you will need to be successful

• PhD in Computer Science / Engineering with a specialization in Machine Learning and / or Robotics.
• Experience collaborating on medium to large software projects for at least 4 years.
• Experience in programming Python / C++ and machine learning frameworks (Tensorflow, JAX).
• Demonstrable experience with offline Reinforcement / Imitation Learning in a robotics context.
• Proven ability to work with a team, setting directions and driving towards solutions.

Skills that will differentiate your candidacy

• Academic track record of publications in the field of offline Reinforcement / Imitation Learning in Robotics.
• Experience with Robotic Foundation Models / Vision-Language-Action Models.
• Experience with Online Reinforcement Learning and / or Computer Vision for Robotics.
• Experience with deploying ML services at scale, e.g., via cloud computing and containerization (Google Cloud, Docker, Kubernetes), databases (SQL, no-SQL), and service-oriented architecture frameworks.

Role

As a software engineer focused on MLOps and deep learning infrastructure, you will design and build the foundational systems that empower robots with advanced machine learning capabilities. You will work within a cross-functional team of engineers and researchers to develop infrastructure that streamlines the training, evaluation, and deployment of large-scale AI models. Your efforts will provide accessible tools for injecting machine learning techniques into the Intrinsic stack, managing compute resources across cloud and on-premise environments, and ensuring that complex model lifecycles are efficient, reliable, and scalable for real-world industrial applications.

How your work moves the mission forward

• Design and implement scalable infrastructure for training and deploying deep learning models on top of a real-time robotic control stack.
• Help optimize data loading and training speed across 1000+ GPU training jobs.
• Build data pipelines that support distributed computing to process large volumes of robotics data for model training.
• Develop APIs and tools that allow internal and external researchers to easily integrate machine learning techniques into their workflows. This could involve leading efforts  to open source models and engage with the community.
• Optimize the allocation of compute resources, such as GPUs and TPUs, to reduce cost and latency during model development and create orchestration workflows to successfully run jobs on GKE.
• Create tools for model understanding and analysis to ensure reliability and traceability across the machine learning lifecycle.

Skills you will need to be successful

• Bachelor's degree in Computer Science, Robotics, Machine Learning, or a related technical field.
• 2 years of experience in software development with a focus on MLOps or machine learning infrastructure.
• Proficiency in programming with Python and C++.
• Experience with containerization and orchestration technologies, specifically Docker and Kubernetes.
• Experience with deep learning frameworks such as TensorFlow, JAX, or PyTorch.
• Experience with cloud computing platforms like Google Cloud Platform.
• Basic Front-end experience.

Skills that will differentiate your candidacy

• Master’s degree or PhD in Computer Science, Robotics, or a related field.
• Comprehensive knowledge of the entire image processing workflow, from initial sensor data acquisition (drivers, OS) up to the final application logic and decision-making.
• Experience with MLOps toolkits such as Kubeflow.
• Hands on experience with CUDA optimization or deep learning optimization. 
• Experience deploying machine learning models at scale in production environments.
• Familiarity with robotics systems or industrial automation hardware.
• Practical experience debugging distributed systems and optimizing network performance.
• Experience with accelerator orchestration (e.g., XManager).

Role

As a software engineer for Developer Experience, you are in the prime position to supercharge our engineering productivity. We are a fast paced org with a rapidly increasing install base of on-prem hardware and software moving real hardware in real time. We heavily leverage cloud platforms for our robots’ compute needs. Shaping and testing our internal engineering environment using state of the art tooling is an exciting challenge we tackle every day. 

How your work moves the mission forward

• Advance the buildout of Intrinsic's inner-loop infrastructure to develop, build, and test code. This is an opportunity to design and build a best-in-class developer infrastructure from the ground up, by integrating industry best practices with the latest advances in AI-powered development.
• Develop and evangelize best practices for building, packaging and deploying software for the next generation of robotics systems.

Skills you will need to be successful

• A degree in computer science or a related field.
• 3+ years of experience working as a software engineer or in software development
• Worked on a collaborative software project (10+ contributors) on a distributed VCS.
• Has contributed meaningfully to a project within one of  the following categories: build systems, CI/CD systems, code review, code search, or IDE integration/extensions.
• Experience with one of these coding languages: Golang, Python, Rust, and/or C++.

Skills that will differentiate your candidacy

• Experience with build systems (e.g. Blaze, Bazel, CMake, Ant, Maven, Gradle, Pants, …).
• Experience with distributed build farms (e.g. Buildbarn, Buildfarm, GCC CompileFarm, …).
• Experience with CI/CD systems (e.g. Jenkins, Travis, Circle CI, Spinnaker, Terraform). 
• Experience with integrating IDEs (e.g. Visual Studio Code, IntelliJ, Eclipse, …) into developer infrastructure.
• Experience with GitHub-based custom infrastructure and workflows (monorepo setups are a plus).
• Experience with AI-based dev/build/test/review tools.

We encourage you to apply to this post if you’re interested in software engineering roles but don’t see the right fit in our actively posted roles. When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit.

You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing
• You are interested and proficient in modern software development and have shipped a significant amount of high-quality software
• You enjoy solving hard problems in rich interactive full-stack software, artificial intelligence, and robotics
• You have developed (or are interested in developing) tools and intuitive interfaces for robot functionalities. 
• Robot functionalities include but are not limited to (in no particular order): APIs for authoring, editing, and simulating robot workcells, building scalable compute infrastructure for microservices, perception and vision algorithms, multi-step task planning, motion and grasp planning, machine learning for contact-rich tasks, knowledge and scene representation, Industry 4.0 representations, robot safety, data security and privacy.

#LI-DNI

We encourage you to apply to this role if you’re interested in opportunities at Intrinsic, but don’t see the right fit in our actively posted roles. This is best suitable for non-technical functions (e.g. people, finance, legal, etc). 

When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit. You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing,
• You are interested and have experience scaling non-technical functions from 0-1,
• You think robots are interesting, and would like to learn more.

#LI-DNI

We encourage you to apply to this role if you’re interested in roboticist roles but don’t see the right fit in our actively posted roles. When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit.

You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing,
• You are interested and proficient in modern software development (e.g. C++) in addition to PLC programming (e.g. ladder logic) used in modern controllers,
• You have written end-to-end robotics applications or have built/integrated robotic hardware (i.e. workcells) in industry,
• You have implemented and shipped software for robot functionalities. 
• Robot functionalities include but are not limited to (in no particular order): robot motion and grasp planning, real-time motion control, robot safety.

#LI-DNI

Role

As a Senior Research Engineer focused on Data Engine, you will be responsible for the design and implementation of systems that enable the training, deployment, and utilization of large-scale AI models for robotics. You will guide technical direction, mentor engineers, and ensure the development of robust, scalable data pipelines and ML infrastructure required to make robots significantly more capable in real-world environments. Your work will empower both internal teams and external partners by providing accessible tools and infrastructure for injecting advanced machine learning techniques into robotic applications.

How your work moves the mission forward

• Lead the design and implementation of infrastructure for training and deploying large-scale robotic foundation models.
• Oversee the building and maintenance of data pipelines for collecting, processing, and feeding real-world robot data into machine learning workflows.
• Empower ML researchers and engineers with accessible tools and infrastructure for developing and applying AI techniques in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver successful solutions for partners and customers.

Skills you will need to be successful

• Four-year degree in Computer Science.
• Experience collaborating on medium to large software projects for at least 4 years.
• Experience in programming Python / C++.
• Experience with machine learning (Tensorflow, JAX), cloud computing and containerization (Google Cloud, Docker, Kubernetes), database (SQL, no-SQL), and service-oriented architecture frameworks.
• Proven ability to work with a team, setting directions and driving towards solutions.

Skills that will differentiate your candidacy

• PhD in Computer Science / Engineering with a specialization in Machine Learning and / or Robotics.
• Academic track record of publications in the field of Machine Learning and / or Robotics.
• Experience with Robotic Foundation Models / Vision-Language-Action Models.
• Experience with deploying ML services at scale.

We are looking for an Account Manager who is able to support our growth and play an active role in our company development in the DACH region. 

Goals:

• The main goal of this position is to look for new Opportunities and build a solid, strong and recurring Pipeline
• Develop repetitive and stable sales in specific industry/geography by establishing and maintaining contact with customers - market leaders and smaller players in such industries as machine building, robotics, infrastructure, furniture and others. 
• Using best practices in sales and account management.
• Achieving individual sales targets with own acquired opportunities and assigned pools of customers in specific industry and/or geography.

Functional responsibilities: 

• Acquiring and hunting new buyers
• Using Calls and Mailings among other things for building a strong & solid pipeline 
• Working with the incoming flow of leads, supporting them and developing relations with them.
• Daily business because of short term decision process
• Development of opportunity pipeline in specific industry and/or geography.
• Management of sales cycle - from initial customer contact and enquiry to the order receiving and ensuring the repetitive orders flow.
• Maintaining customer contact at all stages of the project and being the primary contact point for your customers.
• Regular and full reflection of the sales process in the CRM system.

Successful candidate: 

• An accomplished hunter, adept at actively engaging new clients.
• Reaching and exceeding sales targets
• Enjoys sales activities and supporting people. Strong customer focus.
• Successful sales track record in such industries as Rapid prototyping, Engineering, Robotics, Automation, 3D printing etc.
• IT and digitalisation enthusiast, willing to actively use modern technologies and software.
• Understanding of metalworks, 3D printing, injection molding is a major advantage.
• Readiness and willingness to work in dynamic sales environment.
• German - native, English - full professional.

Personal qualities:

• Diligent & sales driven 
• Ability to think outside of the box.
• Solution Finder / Problem Solver.
• Hungry for success.

Work conditions:

• Sales incentive scheme / sales commission.
• Equity incentive plan.
• Corporate Laptop and SmartPhone.
• Corporate language courses (English),but also other language classes within the team 
• Salary depends on experience.
• Place of work: Remote with occasional international travel (UK and DE).
• Reporting to: Sales Leader DACH.

Team spirit and friendly atmosphere: we work in an open, friendly and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone.

Development opportunities: we are a fast growing company, each new task is an interesting challenge for the team.

We care: ongoing free of charge well-being activities for our people, charity projects worldwide.

Flexibility: speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions and remain effective in the face of uncertainty.

Onboarding: well structured onboarding plan for new employees combining all in one process, technology, and systems components.

Please submit your resume in English

#LI-Remote

At Alpine Eagle, we’re building the future of counter-drone defence. We’re a fast-growing, international deep-tech company working at the intersection of aerospace engineering, defence systems, and machine learning. Our goal: create the world’s first swarm-based, airborne counter-drone system.

Modern conflicts show how quickly drones are reshaping the battlefield. Threats are rising, and today’s solutions aren’t keeping pace. We’re here to change that.

Alpine Eagle isn’t just a defence company. It’s a mission. Backed by an international team, strong funding, and a bold vision, we’re looking for people who want to shape the next generation of aerial security and build something that truly matters.

🎯 How you will make an impact:

• Design multi-agent coordination algorithms for collaborative UAV behavior 

• Develop decision-making and task allocation systems 

• Implement collision avoidance and mission planning logic 

• Build behavior trees / state machines / planners for autonomous missions 

• Integrate perception and sensor fusion outputs into actions 

• Develop simulation environments for large-scale autonomous testing 

• Improve automation workflows to reduce operator workload 

• Collaborate closely with AI, perception, and hardware teams 

✅ What you need to be successful:

• Strong software engineering skills (C++ required, Python highly useful) 
• Experience with robotics middleware (ROS/ROS2 or similar) 
• Background in robotics, computer science, or AI-driven systems 
• Knowledge of planning and decision-making algorithms 
• Experience with autonomous robots or UAV systems 
• Comfortable performing hands-on testing and debugging in field environments, including challenging weather conditions and time-critical operational scenarios. 
• Ability to design scalable, maintainable software architectures 

At Alpine Eagle, we are committed to diversity and equal opportunity. We welcome applications from all individuals regardless of ethnic origin, gender, religion, disability, age, or sexual identity.

Apply now!

At Alpine Eagle, we’re building the future of counter-drone defence. We’re a fast-growing, international deep-tech company working at the intersection of aerospace engineering, defence systems, and machine learning. Our goal: create the world’s first swarm-based, airborne counter-drone system.

Modern conflicts show how quickly drones are reshaping the battlefield. Threats are rising, and today’s solutions aren’t keeping pace. We’re here to change that.

Alpine Eagle isn’t just a defence company. It’s a mission. Backed by an international team, strong funding, and a bold vision, we’re looking for people who want to shape the next generation of aerial security and build something that truly matters.

🎯 How you will make an impact:

• Design and implement flight control laws (attitude, rate, position, and advanced control modes) 

• Model aircraft dynamics including aerodynamics, propulsion, and actuator behavior 

• Maximize flight performance through controller tuning and stability analysis 

• Build high-fidelity simulations (SITL/HITL) and validate them against flight test data 

• Analyze real flight logs to identify instability, coupling effects, and performance limitations 

• Bridge simulation and reality by improving model accuracy and parameter identification 

• Collaborate with navigation, perception, and hardware teams to ensure safe and predictable flight behavior 

• Contribute to flight test campaigns and iterate quickly from experimental results 

✅ What you need to be successful:

• Strong background in flight mechanics, dynamics, and control theory 

• Experience with classical and modern control methods (PID, LQR, MPC, observers, filtering) 

• Ability to analyze stability and performance in nonlinear systems 

• Degree (MSc/PhD preferred) in Aerospace Engineering, Robotics, Control Engineering, or related field 

• Experience working with flight control firmware (PX4 / Ardupilot or similar) 

• Comfortable working with Python-based modeling tools 

• Practical mindset — capable of turning theory into working controllers on real aircraft 

• Enjoy debugging physical systems and validating them experimentally 

At Alpine Eagle, we are committed to diversity and equal opportunity. We welcome applications from all individuals regardless of ethnic origin, gender, religion, disability, age, or sexual identity.

Apply now!

At Alpine Eagle, we’re building the future of counter-drone defence. We’re a fast-growing, international deep-tech company working at the intersection of aerospace engineering, defence systems, and machine learning. Our goal: create the world’s first swarm-based, airborne counter-drone system.

Modern conflicts show how quickly drones are reshaping the battlefield. Threats are rising, and today’s solutions aren’t keeping pace. We’re here to change that.

Alpine Eagle isn’t just a defence company. It’s a mission. Backed by an international team, strong funding, and a bold vision, we’re looking for people who want to shape the next generation of aerial security and build something that truly matters.

🎯 How you will make an impact:

• Build drone testbeds, including companion computers, flight controllers, sensors, and actuators. 

• Support system architecture design, component selection, and component procurement of our next generation airborne systems. 

• Support test planning, execution, and documentation – both in our lab and at our test sites. 

• Streamline and optimize rapid prototyping and enable low-to-medium volume manufacturing. 

✅ What you need to be successful:

• Background in electrical engineering, mechatronics, or a similar field. 

• Hands-on experience with setting up and testing electronic systems (including soldering and measurement equipment). 

• Experience with complex robotics systems, preferably based on ROS 2. 

• Familiar with the usage of Linux-based operating systems. 

• Knowledge of electronics and embedded systems (for example STM32, Nvidia Jetson). 

• Proactive and organized team player. 

• Valid work permit (citizenship or visa) for Germany. 

• Currently enrolled in a university within Germany. 

• Willingness to work in our lab on-site. 

At Alpine Eagle, we are committed to diversity and equal opportunity. We welcome applications from all individuals regardless of ethnic origin, gender, religion, disability, age, or sexual identity.

Apply now!