Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

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.

Who we are

The role

The day-to-day

As a company, we are defining how software and AI works in mission-critical situations in defence. We need Product Managers who can wade into a promising product area and leverage customers, teammates, and leadership to develop an idea into a prototype and a prototype into a product, with a matching business strategy.

It’s a big role, and most people don’t have all the skills yet. We’re looking for capable, motivated people who we can develop into Product Management all-stars.

You should apply if you

• Have proven experience in a broad role of product management within a company, from commercial through to technical, taking products from ideation to market.
• Proven experience in computer vision and image analysis
• Have a willingness to lean into uncertainty and lead a team in the discovery of a new product and its co-creation with our customers
• Have technical depth, ideally coming from a technical background as a software engineer or data scientist. As well as technical understanding of how you bring together best in class AI and software with hardware systems.
• Have the intellectual curiosity to learn about the many new areas you’ll be taken into: radar systems; defence procurement; military doctrine; node computing; defence-industrial policy; few-shot learning; and so on…
• Have personal values which match ours: ownership, initiative, dedication to mission, speed and inclusiveness 

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to Have

• Experience in defence or space related product management.
• Experience with satellite related technologies and systems. 

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• Competitive salary and VSOP options

• Occupational Pension and Disability Insurance

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500 yearly allowance

• Health & wellness: gym membership, mental health support (Nilo.health) and cycle scheme

• Social: regularly company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, remote work option during pregnancy and phased return to work at full pay

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

The Role:

We are looking for a visionary and strategic Field CTO with a "learn-it-all" mindset to serve as a high-impact technical advisor for our most strategic prospects and customers. In this role, you will act as a peer to client executives, translating complex business transformations into scalable technical strategies. You will drive innovation by championing Process Intelligence, Agentic AI and Enterprise Modernization, ensuring our technology aligns with the evolving needs of the global market.

The work you’ll do:

• Executive Advisory: Serve as a trusted advisor to C-level executives, aligning their long-term strategic goals with the Celonis technical vision.
• Strategic Architecture & Roadmap: Lead the overarching data, cloud, and innovation strategy for our largest global accounts, utilizing methodologies like Capability Mapping to identify high-value opportunities.
• Innovation Leadership: Architect "first-of-a-kind" solutions using emergent technologies including Agentic AI to solve complex enterprise challenges.
• Sales & Business Impact: Partner with Sales and Value Engineering driving revenue through new customer acquisition and strategic up-selling.
• Product Advocacy: Act as a critical feedback loop between our Product & Engineering teams and the market, ensuring the voice of the customer shapes our future offerings.
• Thought Leadership: Develop and deliver customer-facing position papers, assets, and presentations that establish our brand as a leader in architecture and innovation.

The qualifications you need:

• Experience: 15 to 20 years of relevant experience, ideally having served as a CTO/CIO within a major corporation or  as Field CTO at a major software vendor.
• Strategic Communication: Proven track record of presenting complex technical visions to C-suite stakeholders in a way that emphasizes business value.
• Modernization Expertise: Deep experience in Enterprise Modernization, EA Methodologies, and a robust understanding of Agentic AI is essential.
• Technical Versatility: Ability to pivot from high-level architecture diagrams to hands-on demo.
• Technical Foundation: Excellent background in Data Architecture, API ecosystems, and cloud-native SaaS solutions like Salesforce and ServiceNow. 
• Education: MSc degree in Computer Science or an equivalent IT-related field.
• Global Readiness: Fluency in English is required; proficiency in German, Spanish, French or Italian is a strong advantage.

Who we are

The role

The day-to-day

• Define the imaging architecture: You will select the optimal combination of lenses and sensors aligning requirements with our AI team to optimize algorithm performance, balancing technical trade-offs.

• You will guide & perform the implementation of low-level logic like FPGA programming, handling high-speed sensor interfaces and implementing hardware-based synchronization.

• Drive the Manufacturing Lifecycle: You will collaborate closely with external partners to transition your designs from prototype to production, defining validation tests and resolving challenges for complex opto-electronic assemblies.

• Hardware Bring-up & Debug: You will spend hands-on time in the lab bringing up prototypes, testing their performance under varying conditions and support their integration into our software stack.

• Image Quality Tuning: You will analyze application specific camera performance and tune your designs & low-level algorithms to maximize the value the sensor provides to our AI applications.

You should apply if you

• Have a Ph.D. or M.Sc. in Electrical Engineering, Computer Engineering, Applied Physics, Optical Engineering, related field or equivalent work experience.

• Have a professional track record of bringing complex opto-electronic systems from prototype to mass production.

• Have mastered Opto-Mechanical Design Challenges, e.g. thermal management for high-power sensors or precise mechanical mounting for optical alignment

• Possess a deep understanding of the "physics of imaging," ranging from lens selection and MTF characteristics to CMOS sensor architecture, quantum efficiency, and noise sources.

• Understand system-level synchronization, knowing how to utilize PTP, PPS, or hardware triggers (Hsync, Vsync) to perfectly align image capture with other sensors and compute modules.

• Are proficient in languanges like C/C++ or Rust for low-level firmware development or hardware-software interface debugging.

  Nice to Have

• Have brought hardware to life using Verilog, SystemVerilog, VHDL or similar, dealing with high-bandwidth data streams, video processing pipelines, and sensor interfaces on the lowest level.

• Hands-on experience designing and debugging PCBs for high-bandwidth image sensors, including managing signal integrity for MIPI CSI-2, LVDS, SLVS-EC links, or similar.

• Experience with Optical Design Software (e.g., Zemax, Code V, or equivalent) and a familiarity with ray tracing, lens curvature, or custom glass specification.

• Experience writing Linux Kernel Drivers or working with V4L2 or similar frameworks to interface with our sensors

• Exposure to Computer Vision or AI pipelines giving you an understanding of how the images you capture are consumed by Helsing’s downstream algorithms.

• Experience with thermal imaging designing, calibrating, and programming LWIR cameras.

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

Do you want to gain first-hand experience in Order Management and Legal at an innovative, high-growth company?

In this role, you will contribute to maintaining operational efficiency and delivering a seamless customer experience. You will support invoicing and cash collection processes, ensuring accuracy, compliance, and timeliness. In parallel, you will assist in developing our intellectual property portfolio by coordinating communication between external patent attorneys and internal stakeholders.

You will be part of our Business Team, working closely with experts across Finance, Legal, and Logistics. Beyond daily operations, you will contribute to strategic, data-driven initiatives and gain exposure to how a high-growth company scales its processes.

HOW YOU WILL MAKE AN IMPACT

• Ensure accurate and timely client billing in line with German and international standards

• Support payment collection and maintain up-to-date financial records

• Manage and update client account information

• Assist with order processing and daily operational tasks

• Act as a key interface between external IP attorneys and internal teams

• Review and validate external invoices

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• Currently enrolled in a degree program (e.g., Business Administration, Law, Logistics, Accounting, Computer Science) or a related field

• Initial experience in Order Management, IP law, or CRM systems is a plus

• Strong organizational skills and attention to detail

• Ability to prioritize tasks and manage time effectively

• Strong communication skills in both English and German, enabling effective collaboration with internal and external stakeholders

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Lenka (she/her). You can expect to go through a screening call, and up to 2 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 20 days of paid time off per year 
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• A competitive salary that values the strengths you bring
• Up to 4000 EUR employee referral bonus 
• As an intern or a working student at NavVis, you will have the chance to be truly involved in projects and gain first-hand experience in a fast-growing company
• We care deeply about the development of our student employees. Your supervisor will do regular 1:1s & retrospectives to make sure we are constantly getting better at what we do. You will also have the chance to be involved in our 360° developmental feedback aimed at holistic professional development
• Great potential for internal growth and exploring wider opportunities within NavVis

ABOUT US

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

You will be part of a computer vision team, where you will be responsible for building computer vision models for object recognition and tracking, video understanding, scene matching, etc.

The day-to-day

You will develop computer vision models and pipelines that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios.

You will also apply and develop techniques to adapt them to the target hardware and constraints associated to the downstream ML/AI tasks.

You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.

You should apply if you

• Hold an MSc in computer science, machine learning, robotics or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally

• Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art Deep Learning-based approaches

• Possess solid software engineering skills, writing clean and well-structured code in Python, and experience deploying AI software to production including testing, QA, and monitoring

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• PhD in computer vision, machine learning, robotics, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS)

• Experience with object detection and categorisation, single and multi-object tracking, scene understanding and matching, 3D computer vision.

• Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery

• Experience with simulators, emulators, or synthetic data generators

• Experience with Rust and/or C++

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation

Who we are

The role

At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities.

We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones. Your primary focus will be training and fine-tuning Vision-Language Models on our custom datasets to power our different products. You'll be responsible for the entire model lifecycle, from data curation and training to evaluation.

You should apply if you

• Hold an MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning.

• Possess theoretical understanding and practical experience in training Foundational Models (LLMs, VLMs, or other large-scale multimodal models) from scratch or through fine-tuning.

• Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.

• Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal research culture.

• Have a "first-principles" mindset: you enjoy reading the latest ArXiv papers and implementing them into the codebase rapidly.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Top-Tier Research Track Record: You have authored publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning.

• Experience training models on large-scale GPU clusters.

• Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. 

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 looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition's full product portfolio: Vehicle OS (including developer tooling and IVI), Tools for Vehicle Intelligence (ADP/APX), and Self-Driving Systems (SDS). This role is ideal for a candidate with strong automotive software foundations who thrives on variety, is energized by learning new technical domains quickly, and wants to engage with the broadest possible range of cutting-edge automotive challenges.

One engagement might involve guiding an OEM's IVI team through an Android Automotive OS integration; the next could be a deep-dive architecture review with an ADAS validation team, or a technical workshop on autonomy stack deployment with a Tier 1 supplier. This kind of breadth is rare, and for the right person, it is the most accelerated learning environment in the automotive software industry. You will build expertise across SDV, simulation, and autonomy faster than any siloed role would allow, while working directly with some of the most ambitious internal and external engineering teams worldwide.

At Applied Intuition, you will:

• Support pre-sales and post-sales customer engagements across Vehicle OS, SDS and Tooling pillars as needed
• Conduct technical discovery, demos, and proof-of-concept work across Applied Intuition’s product suite
• Adapt technical depth to whichever product pillar is most relevant for a given customer or opportunity
• Build cross-pillar proposals where a customer engagement spans multiple product areas
• Work closely with Applied Intuition’s product and solution specialists to ramp up on new product areas
• Manage multiple concurrent customer engagements and maintain clear internal stakeholder communication

We're looking for someone who has:

• 4+ years of experience in automotive software development or technical customer engagement, spanning more than one product domain (e.g., ADAS + SDV, simulation + vehicle architecture, IVI + middleware)
• Strong automotive software foundations with the ability to engage credibly on topics across E/E architecture, ADAS validation, and/or autonomy systems
• Demonstrated ability to learn new technical domains quickly and apply them in a customer-facing context
• Track record of managing complex, multi-stakeholder technical programs
• Degree in computer science, electrical engineering, or related field
• 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:

• Experience spanning both pillars: Vehicle OS/SDV/IVI and ADAS simulation/tooling
• Prior Solution Engineering, Field Application Engineering, or technical pre-sales experience
• Experience at an OEM, Tier 1, and/or automotive technology company
• Familiarity with AUTOSAR (Classic and/or Adaptive)
• Knowledge of ISO 26262, SOTIF, or ASPICE

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 looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition's full product portfolio: Vehicle OS (including developer tooling and IVI), Tools for Vehicle Intelligence (ADP/APX), and Self-Driving Systems (SDS). This role is ideal for a candidate with strong automotive software foundations who thrives on variety, is energized by learning new technical domains quickly, and wants to engage with the broadest possible range of cutting-edge automotive challenges.

One engagement might involve guiding an OEM's IVI team through an Android Automotive OS integration; the next could be a deep-dive architecture review with an ADAS validation team, or a technical workshop on autonomy stack deployment with a Tier 1 supplier. This kind of breadth is rare, and for the right person, it is the most accelerated learning environment in the automotive software industry. You will build expertise across SDV, simulation, and autonomy faster than any siloed role would allow, while working directly with some of the most ambitious internal and external engineering teams worldwide.

At Applied Intuition, you will:

• Support pre-sales and post-sales customer engagements across Vehicle OS, SDS and Tooling pillars as needed
• Conduct technical discovery, demos, and proof-of-concept work across Applied Intuition’s product suite
• Adapt technical depth to whichever product pillar is most relevant for a given customer or opportunity
• Build cross-pillar proposals where a customer engagement spans multiple product areas
• Work closely with Applied Intuition’s product and solution specialists to ramp up on new product areas
• Manage multiple concurrent customer engagements and maintain clear internal stakeholder communication

We're looking for someone who has:

• 4+ years of experience in automotive software development or technical customer engagement, spanning more than one product domain (e.g., ADAS + SDV, simulation + vehicle architecture, IVI + middleware)
• Strong automotive software foundations with the ability to engage credibly on topics across E/E architecture, ADAS validation, and/or autonomy systems
• Demonstrated ability to learn new technical domains quickly and apply them in a customer-facing context
• Track record of managing complex, multi-stakeholder technical programs
• Degree in computer science, electrical engineering, or related field
• 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:

• Experience spanning both pillars: Vehicle OS/SDV/IVI and ADAS simulation/tooling
• Prior Solution Engineering, Field Application Engineering, or technical pre-sales experience
• Experience at an OEM, Tier 1, and/or automotive technology company
• Familiarity with AUTOSAR (Classic and/or Adaptive)
• Knowledge of ISO 26262, SOTIF, or ASPICE

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. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Team:

As an Intern in AI & Management Consulting you join our Value Engineering team to focus on driving and closing opportunities by identifying and selling the value Celonis can bring to customers. Our Value Engineers (VE) are the trusted advisor for customers and work on the intersection of technology and business. Value Engineers partner with sales and customers to create compelling solutions to critical business problems. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in enterprise technology sales.

The Role:

Value Engineers are the trusted advisors for our prospects and customers and leverage product expertise and business acumen to solve our prospects’ and customers’ most pressing challenges. You will gain experience in executing proof of value projects and take part in technical discussions with stakeholders. By creating customer-based business cases, you support the strategic business development activities for the DACH market.

The work you’ll do:

• Analyze data from our customers to increase transparency in business processes
• Understand the pain points of our customers and translate them into actionable use cases in the Celonis Process Intelligence Platform
• Collaborate with customers and partners to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives
• Quantify financial impact of use cases implemented in the Celonis Process Intelligence Platform and prepare management ready presentations
• Present findings together with your team in front of customers’ C-level and decision makers
• Leverage Celonis data modeling and AI capabilities to uncover process inefficiencies, generate insights, and deliver high impact, data driven value propositions to clients.
• Pitch the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen

The qualifications you need:

• Student of Business Informatics / Management & Technology / Industrial Engineering/ Computer Science/ Economics / Mathematics or of a comparable program
• Strong communicational skills and interest in interacting with potential customers
• Confidence to present to C-level executives and larger audiences
• Have a passion for technology, data, OpenAI and LLMs and the impact it can have on the world
• Experience in consulting and highly interested in Data Analytics & Applied AI
• Knowledge in SQL and Python or related database query languages (completion of Celonis "Rising Star" modules would be a plus)
• Analytical mindset and the ability to multi-task, prioritize and execute
• Effective communicator and business fluent in German and English
• Full-time availability for at least five months starting from June/ July 2026

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

At NavVis, we build the world's most advanced mobile mapping systems - hardware & software platforms that capture spatial reality with extraordinary precision. The quality and reliability of every scan we deliver depends on the sensors we calibrate and ship with our products. 

We treat calibration as a core pillar of NavVis' competitive differentiation. The team works across an exceptionally broad technical surface: sensor physics, camera and LiDAR geometry, IMU modelling, production processes, evaluation infrastructure, cloud and local services, and an emerging intersection with ML-based perception. 

We are looking for an experienced Team Lead to head this team within the Mapping & Perception department. You will combine deep sensor expertise with genuine people leadership - setting technical direction, developing your engineers, and driving the calibration product forward with the ambition to build world-class devices. This is a role with high strategic ownership, close ties to device production, and strong cross-team connections. 

If you care deeply about data quality, automation and smoothly running production processes and want to lead a team that is as knowledgeable about our sensors as the vendors who build them - this role is for you. 

HOW YOU WILL MAKE AN IMPACT

• Lead, mentor and grow a team of calibration software engineers - setting technical direction, running regular 1:1s, supporting career development, and owning team performance together with the department lead. 

• Own the calibration end to end: the software, the calibration process, and the documentation - from early-stage methodology design through production rollout and ongoing supervision of the calibration process for cameras, LiDARs, IMUs and other sensors. 

• Drive the strategic direction for accuracy, repeatability and scalability of calibration - pushing toward less human-dependent processes, greater automation, and faster iteration cycles from development to production. 

• Develop deep understanding of the sensors NavVis uses by building team knowledge of sensor design, behaviour, and limitations that rivals the vendors themselves. 

• Serve as the primary technical interface between the calibration team, the production floor, and adjacent engineering teams while ensuring rapid feedback loops and smooth cross-functional collaboration. 

• Anticipate and shape how calibration evolves alongside NavVis hardware: new sensors and new form factors, ML-based pipelines, and automation platforms. 

• Identify, escalate, and resolve issues in calibration processes and tooling in close collaboration with the production teams, translating their feedback into software improvements. 

• Contribute hands-on to the codebase where it matters - this role carries a meaningful expert component alongside its leadership responsibilities. 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• Master's degree or PhD in computer science, electrical engineering, robotics, or a closely related field. 

• 7-10 years of professional software engineering experience with a strong focus on sensor systems - ideally in calibration, sensor fusion, or a closely adjacent domain such as SLAM or machine perception. 

• Hands-on experience working in environments where software engineering intersects with physical device production or hardware integration. 

• Direct experience calibrating cameras, LiDARs and/or IMUs, including knowledge of the underlying geometric models (intrinsics, extrinsics). 

• Strong C++ development skills in a production codebase, and solid Python for tooling, scripting and automation.  

• Demonstrated experience leading or technically mentoring a software team, including people development, task coordination and cross-functional stakeholder communication. 

• Excellent communication skills in English - written and verbal - with the ability to convey complex technical concepts clearly to diverse audiences including production and engineering management. 

• A deep passion for sensors 

• Proficiency in Linux 

 Would be an added benefit: 

• Experience with C++ libraries such as Ceres, Eigen, OpenCV, PCL, ROS, or Boost 

• Background in modelling and solving 2D/3D geometry optimization problems. 

• Familiarity with SLAM systems and the relationship between calibration quality and mapping performance. 

• Exposure to ML-based perception techniques and their implications for sensor and calibration design. 

• Track record of contributing to or maintaining open-source software. 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Rina (she/her). You can expect to go through a screening call, and up to 5 rounds of interviews, covering your technical depth in sensor systems and calibration, your leadership approach and people development philosophy, and how you collaborate across teams. We want to understand what drives you, share what drives us, and explore how we can grow together.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

ABOUT US

Who we are

The role

You should apply if you

• You are currently enrolled in a Master’s program in Computer Science, Machine Learning, Robotics, or a related field (e.g., at TUM, LMU, or a similar university) and are eligible to work as a working student, based in Munich.

• You possess solid programming skills in Rust, C++, Python or Java, and you strive to write clean, well-structured code.

• You communicate clearly and efficiently in English (and German), and you enjoy collaborating with others through code reviews, pair programming, and asynchronous discussions.

• You love figuring things out. You are the type of person who digs deeper into unfamiliar systems until it finally clicks, you aren't afraid of legacy code, and you prefer asking questions over stipulating answers.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to Have

• You have experience building or evaluating AI-based systems, and you are passionate about keeping up to date with current research.

• You enjoy the idea of getting your hands dirty by testing combined software and hardware products end-to-end.

• You are comfortable navigating and configuring Linux systems, utilizing scripting languages and have a foundational understanding of backend concepts (such as network stacks, databases, or interfaces like REST/gRPC).

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one

• The chance to work on exciting, fast-moving projects with other talented researchers and engineers

• Lots of growth opportunities, multi-disciplinary, a high degree of ownership; of products, of processes, of results.

• Work on new problems, pushing the edge of what is possible

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

In this role, you will join the NavVis Mobile Team and use your deep expertise in Android development to shape the future of NavVis IVION Go — our mobile app that lets users dive into rich digital data around them, wherever they go. You will leverage the powerful digital twins created with our mobile mapping devices NavVis VLX/MLX as well as our cutting-edge visual positioning technology to create spatially aware user experiences for our manufacturing clients around the world. 

If you're passionate about clean code and elegant design, keeping up to date with current Android ecosystem, and love building with modern toolchains — you might be exactly who we're looking for! 

HOW YOU WILL MAKE AN IMPACT

• You will progressively take co-ownership of our entire Android codebase, toolchain, and development process. 

• You will collaborate closely with design, product management, and of course your fellow engineers across Android/iOS inside the Mobile Team and on demand with other engineering teams in the IVION department. 

• You will drive architectural decisions for the Android codebase and set the bar for code quality through knowledge sharing and code reviews. 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• 8+ years of Android development experience, with strong architectural decision-making skills across Kotlin Coroutines/Flow, Jetpack Compose, Jetpack libraries (Room, Lifecycle, ViewModel), Retrofit, and Koin. 

• Solid computer science fundamentals — data structures, algorithms, and design patterns applied in real-world production contexts. 

• Quality-driven development mindset, including TDD/BDD practices, mobile testing (JUnit, Espresso), and CI/CD pipelines (GitHub Actions, GitLab, or Jenkins). 

• Full SDLC ownership — from requirements and architecture through code reviews, testing, and deployment. 

• Agentic AI coding proficiency — goes beyond AI-assisted writing to shape team-wide workflows, curate context, and optimize for token efficiency. 

• Experience with ARCore, game engines, or 3D rendering frameworks is a strong differentiator. 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Sylvie (she/her). You can expect to go through a screening call, and up to 5 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

ABOUT US

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native German speaker with fluent English proficiency

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

Are you ready to join our Mapping and Perception team, solve complex real-world challenges, and help shape the next generation of intelligent devices? 

Imagine being part of a team where you collaborate with experienced engineers across software and hardware to build the firmware and low-level systems that power our products in the field. From connectivity and sensors to cameras, battery systems, and high-speed interfaces, your work will be at the core of how our devices perform, scale, and evolve. 

Our passion for engineering, paired with our international environment, drives our mission — to create seamless connections between hardware, software, and the real world. 

HOW YOU WILL MAKE AN IMPACT

• Develop, integrate, and deploy firmware and embedded software for ARM and x86-based systems 

• Write and maintain low-level drivers in C/C++ for hardware communication (e.g., serial interfaces, USB, MIPI, Ethernet). 

• Test and integrate drivers for new hardware components, such as Wi-Fi, Bluetooth modules, displays, battery management units, IMU, USB/MIPI cameras, and LiDAR scanners. 

• Collaborate with electrical engineers in hardware development teams. 

• Build and maintain configurations across multiple generations of hardware devices. 

• Contribute to test automation, CI pipelines, and build systems (e.g., CMake, Buildroot). 

• Support large-scale deployment by packaging and updating firmware across device fleets.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• A Master's or Bachelor's degree in electrical engineering, computer science, or a related field 

• 5+ years of experience in embedded software engineering with strong hands-on skills. 

• Proficient with ARM and x86 embedded devices, developing low-level drivers in user and kernel space 

• Proficiency with C/C++ (low-level programming, user and kernel space) and Python (scripting, test automation) 

• Experience with ARM and x86 platforms, cross-compilation, and toolchains. 

• Solid knowledge of Linux systems, comfortable with terminal tools and system-level debugging. 

• Familiarity with integration testing, unit testing, and continuous integration best practices. 

• Strong problem-solving skills and the ability to work independently in a structured way. 

• Excellent communication skills and proficiency in English. 

  We’d love it if you have: 

• Experience with over-the-air firmware deployment and provisioning tools (e.g., Ansible). 

• Experience with ARM-based microcontrollers and RTOS environments  

• Knowledge of high-speed interfaces such as USB 3.x, MIPI CSI-2, HDMI, or Gigabit Ethernet. 

• Background in working with MIPI cameras and LiDAR scanners. 

• Experience working in agile development teams with modern git workflows (branching, code review, CI/CD). 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Rina (she/her). You can expect to go through a screening call, a take home challenge and up to 3 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

ABOUT US

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

Can you imagine diving into the development of the software and components that run our innovative mobile indoor mapping system, operated by companies in more than 25 countries worldwide? 

You will join the Mapping and Perception Team, whose mission is to create software solutions for mapping entire buildings and creating realistic 3D representations such as maps, point clouds and panoramic images, based on cutting-edge technology in the area of robotics.  

We are a very international team and if you feel at home with software engineering and want to build something that makes indoors digital, this is the right place for you! 

HOW YOU WILL MAKE AN IMPACT

• You will create concepts, software architecture & design for our core software stack (Python & C++) 

• Apply clean code techniques & design patterns and mentor your teammates through in-depth code reviews 

• You will mainly work on our pipeline – from raw sensor data to the generation of point clouds, panoramic images and maps. 

• Move our applications into cloud infrastructure by closely collaborating with our cloud team 

• Analyzing and improving our applications with respect to efficiency, scalability, and stability 

• Full life cycle of application development from design to deployment including infrastructure and continuous integration/delivery 

• Continuous improvement of automated tests and automated delivery of software. 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• A Master's degree or PhD in computer science, information systems, or similar 

• At least 5 years' experience as a Software Engineer 

• Strong coding skills and proven experience in Python and C++.  

• Solid understanding of data structures, algorithms, and design patterns 

• Extensive experience in deploying software across a variety of platforms, operating systems and cloud infrastructure. 

• A strong communicator who enjoys collaborating with people and mentoring junior developers 

• Passionate about software design and development with a strong interest in agile methodologies 

• Willing and able to familiarize yourself with challenging new topics and tasks 

• Fluency in English  

 Would be an added benefit: 

• Experience with C++ Libraries like Boost, Eigen, OpenCV, PCL, ROS or likewise 

• A background in maintaining and deploying large software systems 

• Experience in maintaining or contributing to open-source software, e.g. on GitHub 

• Worked in a development team using agile principles

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Rina (she/her). You can expect to go through a screening call, a code challenge and up to 2 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

ABOUT US

Location: Hybrid - London, Lisbon, Munich or Amsterdam

About the Department

Account Executives, Business Development Representatives, Solution Engineers, and Customer Success - all working together to help our customers adopt Cloudflare and build great Internet-enabled experiences. The sales team at Cloudflare helps customers take on real, technical problems while building the revenue streams that help the company provide free service to millions in our community.

About the Role

Based out of one of our EMEA hubs, you will help scale our new business revenues across the Gaming & iGaming segment in the Central and Eastern Europe region by leading a team of Account Executives. As a first line manager you will i) coach AEs and act as the first line of support on pipeline generation, deal execution strategy and day-to-day matters, ii) work with Sales Ops, Management, Marketing, Partners, BDRs and other sales supporting functions to drive and iterate on/improving Cloudflare’s brand awareness, Go-To-Market strategy, and adoption, and iii) help attract, hire, and ramp-up high-performing Account Executives to hit sales targets and drive company goals (DNR growth, new product attach rates etc.).

Responsibilities

• Drive exceptional sales growth by meeting and exceeding assigned quarterly and annual quotas
• Manage, coach, and develop your team of Account Executives
• Provide day-to-day deal support and functional guidance to AEs
• Source, interview, and recruit top sales talents in coordination with recruiting and sales leaders
• Own and drive accurate and up-to-date AE KPI, reporting in Salesforce and provide attainment forecast guidance to sales management on a weekly basis
• Help define ideal AE profiles for the region
• Help on-board and ramp up AEs
• Develop and iterate on best-practices/programs aimed at accelerating DNR growth, new product (Cloudflare One portfolio) attach rates, and other company goals
• Define and drive optimal Sales Go-To-Market coverage (vertical, geo-based etc.) for all market segments
• Drive channel relationships forward to accelerate channel business
• Help foster relationships between customer/partner executives and Cloudflare executives within key customer accounts
• Drive an efficient business cadence to cover forecast calls, pipeline, deal reviews, and account plan reviews ...etc
• Devise and lead quarterly business reviews/kick-offs reporting on the overall health of the business in your region
• Set the bar and best practices when it comes to data-driven new business sales and growth of existing accounts
• Document functional best practices and work with Sales Enablement to develop AE sales play books for both core and new products
• Work with Regional/Global Sales Management, Marketing, Channel, Sales Ops, and necessary sales supporting functions to devise and implement strategies to drive up Cloudflare’s brand awareness and revenues in target markets
• Develop and maintain relationships with industry related organizations that are key to Cloudflare's business in the region

Requirements

• Fluency in English and at least one Central and Eastern European language
• A minimum of 15 years of overall sales experience out of which at least 10 years should be focused on the Central and Eastern Europe region working across Gaming & iGaming segments there
• You should have 5+ years experience managing a team of quota-carrying sales reps with a successful proven track record of selling and upselling complex solutions across all market segments in the Central and Eastern Europe region; preferably in a SaaS/Cloud/Cybersecurity platforms industry
• Experience directly managing a high volume, high velocity pipeline driving rapid growth while delivering long term value to our customers
• Experience developing & rolling-out Go-to-Market strategies in a fast-paced, rapidly changing environment
• Excellent presentation and communication skills, both written and verbal, with confidence to develop and present ideas to different audience levels
• Established experience and relationships with the Cybersecurity and SaaS/Cloud community in the assigned market with the ability to establish and grow strong partnerships
• Hands-on leader that strikes a balance between strategic vision and tactical execution
• Having a well regarded market reputation with strong related connections and relationships
• Experience with Salesforce and other sales reporting and BI tools
• Self-motivated with an entrepreneurial spirit and comfortable working in a fast-paced and dynamic environment
• Capacity to strive in a diverse and multicultural workplace
• Aptitude to learn new technical concepts and terms
• Bachelor’s degree required in a related field (Computer engineering, computer science or similar studies). MBA or MIS a plus

Meet our software engineers!

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
• Experience with Linux and/or ARM systems

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually 
• Stock options

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, 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. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 511.200 - 1.098.200 SEK yearly. 

Meet our software engineers!

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
• Experience with Linux and/or ARM systems

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually 
• Stock options

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, 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. For pay transparency purposes, the base salary range for this full-time position in the location listed is:  94,400-156,429 EUR yearly. 

About The Role

Your Mission

The Autonomy Team is seeking a Staff Navigation Engineer to help bring ARX Robotics robot autonomous capabilities the next level. This role involves developing and productizing innovative solutions that will transform the field manned and unmanned ground vehicles.

You will collaborate with talented and dedicated cross-functional engineering teams across various robotic sub-systems to integrate their work into a cohesive platform for operating autonomous and teleoperated systems in the field, ensuring compliance with all relevant standards and guidelines.

The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

Key Responsibilities

• Design and implement global and local path planning algorithms for autonomous navigation in unstructured, off-road environments, ensuring safe and efficient traversal over rough terrain.
• Integrate perception and terrain data into cost maps or occupancy grids to enable obstacle-aware and terrain-adaptive path planning.
• Build and validate navigation systems in simulation ensuring reliable performance before field deployment.
• Tune and test algorithms in real-world conditions, analyzing field data to improve robustness, smoothness, and safety of planned trajectories.
• Lead development of behavior trees or state machines for high-level mission execution, including recovery behaviors and terrain-specific navigation modes.
• Stay current with advancements in sensor technologies, AI, robotics, and industry standards to drive innovation and maintain technical leadership.

Your Profile

• MS or higher in Robotics, Computer Vision, or related engineering fields
• Strong software development skills in C++
• Experience with ROS2, navigation stacks, and real-time embedded systems
• Proficient debugging skills for complex robotics systems
• Solid understanding of state estimation, 3D geometry, and probabilistic robotics
• Proven track record of deploying navigation systems on real-world robotic platforms
• Proficiency with Linux systems, version control, CI/CD, and software engineering best practices in a robotics context
• Self-motivated, organized, and proactive work style

Nice-to-have:

• Proficiency in Python, Rust or CUDA programming
• Knowledge of real-time embedded systems and optimization for edge computing platforms (e.g., NVIDIA Jetson, FPGA)
• Experience in applying data-driven techniques (e.g., reinforcement learning, imitation learning) learn navigation policies
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorRT)

Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.

The Team:

Be part of an innovative Product team passionate about revolutionizing process intelligence. We work on cutting-edge technologies that turn event data into actionable insights. Our collaborative, cross-functional team thrives on challenging the status quo and continuously pushing for product excellence. 

The Role:
We are looking for a Manager, Product Management to lead our Data Pipeline and Integration strategy, ensuring that the Celonis Process Intelligence Graph can ingest and process any data, from any system, at any speed. As a Manager within the Data Platform team, you will be responsible for the "front door" of Celonis. You will lead the vision for how we connect to the world's most complex enterprise landscapes, moving beyond traditional batch extraction to a world of real-time, zero-copy, and push-based ingestion. You will manage a high-performing team and play a pivotal role in scaling our new engineering hub in India.

This role is at the heart of the Celonis mission. If you are passionate about building the infrastructure that powers the world’s most intelligent business processes, we want to hear from you.

The work you’ll do:

• Expand Data Connectivity: Ensure Celonis can access all business data regardless of format, source system, or ingestion method, maintaining our position as the most connected platform in the market.
• Scale the India Hub: Lead and mentor our expanding product teams in India, driving the roadmap for out-of-the-box Extractors and accelerating our delivery of native connectivity.
• Optimize ETL Reliability: Take ownership of the reliable execution of ETL workloads, focusing on optimizing resource utilization and system performance for our largest global customers.
• Deliver Platform Primitives: Drive the development of the Extractor Builder, push-based ingestion (REST, S3), and generic JDBC connectivity to empower customers and partners to build their own integrations.
• Expand Zero-Copy Strategy: Expand and drive strategic data partnerships and zero-copy integrations, reducing data redundancy and accelerating time-to-value for the enterprise.
• Enable Agentic Use: Design pipeline management experiences that are easily configurable and troubleshootable by both human administrators and AI agents.
• Unlock Real-Time Use Cases: Lead the transition to real-time ingestion capabilities, enabling customers to move from retrospective analysis to proactive, operational process intervention.
• Cross-Platform Alignment: Work closely with the Transformation Stack and PQL (Process Query Language) teams to ensure a seamless, high-performance experience across the entire data lifecycle.

The qualifications you need:

• Experience: 7+ years in technical product management, specifically within data integration, ETL, or enterprise SaaS platforms.
• Leadership: Proven track record of managing and scaling product teams, with experience operating in global, distributed environments (experience with India-based hubs is a plus).
• Technical Expertise: Deep understanding of modern data architectures, including SQL, REST APIs, cloud storage (S3/Azure/GCS), and streaming technologies.
• Integration Knowledge: Hands-on experience with enterprise systems (SAP, Oracle, Salesforce) and various data connectivity protocols (JDBC, OData, S3, REST etc.).
• Strategy & Execution: Ability to define a long-term vision for "Data as a Service" while maintaining a rigorous focus on execution and operational stability.
• Education: A master’s degree in Computer Science, Engineering, or a related technical field is preferred.
• Communication: Exceptional stakeholder management skills, with the ability to bridge the gap between deep engineering requirements and executive business value.

The Role 

The Senior Systems Software Engineer will be a member of the core team building the Quantum Key Distribution system. The focus is on high-performance Python services on Linux, algorithm optimization and acceleration (also via hardware offload), and the role spans defining software architecture, integrating with FPGA/embedded subsystems, and turning requirements into reliable, observable software.  

The Senior Systems Software Engineer leads and co-owns the overall internal QKD software architecture and client-facing software API. By setting engineering standards, mentoring, and unblocking delivery, they ensure predictable releases and a strong execution cadence. 

The Responsibilities 

The Senior Systems Software Engineer should expect to work in the following activities. 

• System architecture
  • Leading and co-owning the QKD software architecture: control plane services, key sifting/postprocessing integration, configuration management, monitoring, and external interfaces 
  • Defining module boundaries and service APIs; evolving the system toward clear data/control-plane separation 

• Efficient implementation and hardware/software integration
  • Designing and implementing high-performance Python services on Linux (asyncio, WebSockets, NumPy); profiling and tuning for latency and throughput
  • Developing, profiling, and optimizing QKD sifting and postprocessing algorithms (signal handling/processing, error correction/information reconciliation, LDPC, privacy amplification) to maximize key rate and minimize end-to-end latency; applying algorithmic improvements and implementation techniques (vectorization, concurrency/async, memory/layout tuning, C/C++ extensions, SIMD/CUDA/GPU/FPGA offload where appropriate)
  • Defining and maintaining robust interfaces with embedded/FPGA system components over UART/USB/PCIe/Ethernet; respecting realtime constraints and failure modes 
  • Guiding downstream system integration (WebSockets/gRPC/REST) and ensuring clear contracts and backward compatibility
  • Designing for test – building mocks/simulators and automated test systems 

• DevOps
  • Building and maintaining CI/CD with Docker and GitHub Actions; automated tests, static analysis, artifact management, and release pipelines
  • Establishing observability (structured logging, metrics, tracing) and operational runbooks; improving reliability and debuggability with SLOs/alerts
  • Embedding security and crypto hygiene by default: secure transport, secrets management, key handling, and coordination with cryptography stakeholders
  • Adding performance benchmarking and regression tracking for key rate and end-to-end latency; integrating profiling/flame graphs into CI and enforcing performance budgets 

The Requirements 

The Senior Systems Software Engineer is expected to have the following qualifications and experience. 

• 5+ years of Python development; 3+ years leading or co‑owning service/system architecture for a hardware‑first product 

• Strong Linux async Python (asyncio, WebSockets), concurrency (threads/processes), profiling/tuning 

• Proven custom hardware integration (MCU, FPGA) over UART/USB/PCIe/Ethernet 

• CI/CD with Docker and GitHub Actions; automated testing, static analysis, artifact management 

• Experience with GPU & CUDA acceleration/optimization; SIMD familiarity 

• Production observability (logging/metrics/tracing) and incident/debug practices 

• Working knowledge of relational/key-value/time-series stores (PostgreSQL/Redis/Prometheus)  

• Security by Default mindset: secrets, secure transport, key/crypto hygiene 

• Proficiency in written and spoken English 

• Ability to be on-site in Munich office several times per week 

• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship. 
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• Experience with QKD systems, cryptography, or high‑rate data pipelines  

• Exposure to C/C++ for low‑level interfacing and FPGA/embedded ecosystems  

• Familiarity with gRPC/Protobuf, schema/versioning strategies, and Kubernetes 

The Role 

The Senior FPGA Developer will be a member of the core team building the Quantum Key Distribution system. The focus is end‑to‑end RTL ownership on AMD/Xilinx (Artix‑7, Kintex UltraScale): architect, implement, verify, and close timing on high‑rate interfaces and deterministic pipelines. The role also sets engineering discipline for FPGA development and mentors a junior engineer. 

The Senior FPGA Developer owns the FPGA architecture/codebase and collaborates closely with embedded/software to define clean contracts, ensure reliable bring‑up, and deliver reproducible, versioned bitstreams. 

The Responsibilities 

The Senior FPGA Developer should expect to work in the following activities. 

• RTL architecture, interfaces, and rather high-speed datapaths
  • Owning SystemVerilog RTL architecture/implementation for Artix‑7 and Kintex UltraScale (SystemVerilog, Vivado)
  • Implementing DDR3/DDR4 controllers integration, PCIe endpoint/DMA, and Ethernet/SFP paths; evaluating/integrating third‑party MAC/PCS IP
  • Building deterministic acquisition/timing/sifting layers — packetization, buffering, alignment; robust clocking/CDC/reset; custom low‑level protocols —  and bridging them to high‑throughput interfaces (DDR/PCIe)
  • Defining clear AXI/AXI‑Stream boundaries and register maps for SW/FW integration 

• Constraints, timing closure, and floorplanning
  • Authoring and maintaining XDC constraints (clocks, I/O, exceptions); achieving consistent timing closure across corners
  • Applying practical floorplanning (pblocks, placement guidance) and CDC methodology; analyzing reports and iterating for margin 

• Verification and CI
  • Establishing a professional verification environment with ModelSim/Questa; developing self‑checking testbenches and regression suites; integrating Python/cocotb co‑simulation with software harnesses/mocks; defining coverage goals (OSVVM/UVM as appropriate)
  • Building CI for lint/sim/synth/impl; archiving reports/bitstreams; automating regressions (including cocotb) and basic HW‑in‑the‑loop smoke tests 

• Bring-up, debug, and releases
  • Board bring-up and debug using ILA/logic analyzers; link training, memory calib, and protocol bring-up
  • Owning bitstream packaging, versioning, and release notes; ensuring reproducible builds and traceable artifacts 

• Cross-team collaboration and mentoring
  • Driving system integration with SW/FW: register/driver contracts, throughput/latency budgets, HIL
  • Mentoring a junior engineer; codifying style guides, reviews, and design documentation 

The Requirements 

The Senior FPGA Developer is expected to have the following qualifications and experience. 

• 5+ years production FPGA on AMD/Xilinx; expert SystemVerilog RTL 

• Demonstrated mentoring of junior engineers 

• Strong constraints/timing (XDC), CDC/reset, and practical floorplanning; consistent timing closure 

• Hands‑on DDR3/DDR4, PCIe endpoints/DMA, Ethernet/SFP; integrating/evaluating third‑party MAC/PCS IP 

• Strong verification background; experience with self-checking testbenches and regression testing, proficiency with ModelSim/Questa. Knowledge of OSVVM/UVM is a plus 

• CI for HDL: scripted sim/synth/impl (Tcl/Make/Python), lint, artifact/version management; board bring‑up and ILA‑based debug 

• System integration with SW/FW: register maps, driver contracts, HIL 

• Proficiency in written and spoken English 

• Ability to be on-site in Munich or Potsdam offices to work with hardware, when required
• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship.
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• AXI4/AXI‑Stream expertise and DMA performance tuning 

• Formal verification exposure 

• Scripting for automation (Python/Tcl) and CI systems (GitHub Actions/Jenkins) 

• MicroBlaze/Zynq ecosystems and low‑level FW/C driver collaboration 

• Proven delivery on Artix‑7 and/or Kintex UltraScale with Vivado 
   

The Role 

The Electronics Design Engineer will be a member of the hardware team delivering low‑noise, high‑frequency mixed‑signal control and instrumentation for our QKD systems. The role spans end‑to‑end board design in Altium (schematics, layout, DFM/DFT), precision analog signal chains, prototype bring‑up/validation, and, where needed, STM32 (F4/H7) firmware in C for control, calibration, and integration. You will work with existing automated measurement software in Python and extend it where needed, collaborate closely with optics, FPGA, and software, and support manufacturing. 

The Responsibilities 

The Electronics Design Engineer should expect to work in the following activities. 

• Hardware design, prototyping, and validation 
  • Owning hardware architecture and component selection for precision, lownoise, and highfrequency performance 
  • Designing lownoise analog and mixedsignal schematics and PCB layout in Altium 
  • Managing prototype builds and vendors; executing bringup; precision and highfrequency measurements (DC accuracy, noise spectral density, longterm drift, frequency response); lab debug and reworks 
  • Working with existing automated measurement software (Python) and extending it where needed 
• Firmware development on STM32 and interfacing in Python (secondary scope)
  • Designing and modifying STM32 F4/H7 firmware in C (HAL)
  • Interfacing with Python drivers/scripts for control and data acquisition 

• Test automation and CI
  • Building and extending automated board/firmware test setups (Python; instrument control via VISA/SCPI through the existing automated measurement software) to capture logs/metrics
  • Establishing repeatable build/test pipelines for firmware and board validation; archiving artifacts, measurements, and calibration data 

• Manufacturing support and releases
  • Producing manufacturing packages; supporting vendors through fabrication and assembly; designing/maintaining simple test fixtures
  • Owning hardware/firmware versioning and release notes; maintaining traceable revisions 

• Cross‑team collaboration and documentation
  • Collaborating with optics/FPGA/software on interfaces, calibration, timing/latency budgets, and integration
  • Authoring design docs, analyses and budgets, calibration/bringup procedures, and change logs
  • Maintaining detailed experimental documentation in Confluence 

The Requirements 

The Electronics Design Engineer is expected to have the following qualifications and experience. 

• 5+ years analog/mixedsignal electronics design for R&D/instrumentation; strong Altium for schematics and PCB layout; DFM/DFT 

• Deep analog fundamentals: lownoise signal chains (e.g., highfrequency TIAs/preamps, ADC drivers, antialiasing/reconstruction filters), precision references/measurements, grounding/guarding/shielding, lowleakage layout 

• Ability to set/close noise and error budgets; tolerance/Monte Carlo and worstcase analysis; SPICEclass simulation (LTspice/PSPICE, etc.) 

• Lab expertise: precision/HF measurements (DC accuracy, noise spectral density, longterm drift, frequency response, temperature dependency); oscilloscopes, spectrum analyzers; VNA as applicable 

• Awareness of EMC/EMI and safety constraints; designforcompliance and precompliance testing 

• Python for lab/test automation and instrument control; Git‑centric workflow 

• Proficiency in written and spoken English 

• Ability to be on‑site in Munich or Potsdam offices to work with hardware, when required 

• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship. 
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• STM32 F4/H7 exposure; C with HAL 

• Familiarity with STM32 bootloaders/updates (DFU/OTA) 

• Experience with calibration flows and production test fixtures

About the role

Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. 

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. 

As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

• Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
• Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
• Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures

You may be a good fit if you have:

• 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
• Experience explaining and demonstrating technical products to various audiences
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs 
• Strong project management skills and ability to manage multiple customer relationships
• Passion for AI and interest in responsible development of advanced systems
• Experience working in and building a growing region, while navigating across time zones with US-based headquarters
• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
• (Bonus) Fluency in French, German,  Spanish or Italian

FEQ427R199

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakebase product-line requires the following core technical competencies:

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

 Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

FEQ227R113

The Solutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

The Role

To push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects. 

This high-impact leadership role demands a unique blend of deep technical expertise, people management experience, and executive presence. You will act as an executive sponsor, confidently presenting to customer C-level executives and helping your team translate strategic goals into actionable technical plans.

Your primary goal is to lead and empower a team that supports our growing sales organization in achieving revenue goals. You will ensure your team successfully unlocks technical blockers by fostering close partnerships with leadership across Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

Measures of Success

Your success will be measured by your team's impact, including new customer acquisition rates, retention, up-selling, and your overarching contribution to the overall sales team and business success.

The work you’ll do:

• Team Leadership: Hire, mentor, and manage a team of Enterprise Architects who define the overall architecture, data, and cloud strategy for our largest client accounts.
• Executive Engagement: Act as an executive sponsor in pre-Sales and post-Sales phases, presenting strategic visions to C-level executives and engaging with customer Architecture and security teams.
• Drive Strategic Innovation: Guide your team to design architectures that drive enterprise modernization, leverage capability mapping, and explore innovative solutions using emergent technologies like Agentic AI.
• Cross-Functional Alignment: Serve as the leadership bridge between our product & engineering teams within Celonis and client teams to ensure the delivery of premier technical services.
• Ecosystem & Readiness: Oversee the assessment of the IT landscape maturity of our customer installed base and ensure your team effectively coaches Celonis account teams and ecosystem partners on architecture, integration, performance, and scalability.
• Thought Leadership: Direct the development of re-usable assets for projects, as well as customer-facing position papers and thought leadership presentations on architecture and innovation with Celonis.

The qualifications you need:

• Experience: 20+ years of relevant experience, including a proven track record of managing Enterprise Architects or technical teams at a top consulting firm or software vendor.
• Strategic Vision: Proven ability to think strategically, guiding your team to connect technical solutions to business value and customer objectives.
• Communication: Excellent written and verbal communication skills, with a proven track record of navigating complex negotiations and presenting to C-level executives.
• Enterprise Architecture Expertise: Demonstrated experience and deep understanding of Capability Mapping, Enterprise Modernization, and Agentic AI.
• Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments.
• Ecosystem Knowledge: Strong understanding of cloud-native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM, ServiceNow), cybersecurity posture fundamentals, API ecosystems, and legacy on-premise enterprise architectures.
• Education: MSc degree in Computer Science or an equivalent in an Information Technology-related field.
• Languages: Fluency in English is required; an additional language such as Spanish, French, German, or Italian is a strong advantage.

Preferred:

• Celonis Certifications and extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines.
• Industry standard certifications such as AWS/Azure/GCP, ESB / ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann.
• Experience spanning at least two domains (e.g., Finance, Manufacturing, Supply Chain, HR) and at least two industries (e.g., Consumer Goods, Banking, Pharma, Aerospace).

The Role

The Lead Researcher in Quantum Machine Learning will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Lead Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Lead Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

Reporting directly to the Director of AI, the Lead Researcher in Quantum Machine Learning plays a pivotal role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Lead Applied Researcher should expect to work in the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Keeping up with state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Assisting in writing patent draft applications
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Lead Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning.

• PhD in computer science, physics, mathematics, electrical engineering, or equivalent subject is required
• Publication record in quantum machine learning, or variational quantum algorithms is required
• Advanced expertise in one or more quantum programming languages (Qiskit, Q#, Pennylane, Cirq, Quipper, Scaffold, tket) is required
• Advanced experience working with variational quantum algorithms for machine learning is required
• Experience working with the classical machine learning algorithms is required
• Computational learning theory expertise is optional
• Expert knowledge in Python is optional
• Expert knowledge in Pytorch and TensorFlow is optional
• Experience in programming for GPUs is optional
• Experience in working with QPUs is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

The Role

The Researcher in Quantum Machine Learning or Quantum Information will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

The Researcher in Quantum Machine Learning plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Applied Researcher should expect to work in one and supporting in the other areas of the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Exploring state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning or quantum information.

• Currently pursuing or recently completed a degree in computer science, physics, mathematics,
  or equivalent subject
• Experience in one or more quantum programming languages (Qiskit, Pennylane, Cirq, etc.)
• Experience working with variational quantum algorithms for machine learning
• Experience working with classical machine learning algorithms
• Basic knowledge in Python, Pytorch and TensorFlow
• Experience in working with QPUs is optional
• Familiarity with quantum information theory is optional
• Familiarity with Tensor-Network techniques is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

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.

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.

About The Role

Your Mission

The Autonomy Team is seeking a Senior Robotics Perception Engineer to help bring ARX Robotics robot autonomous capabilities the next level. This role involves developing and productizing innovative solutions that will transform the field manned and unmanned ground vehicles.

You will collaborate with talented and dedicated cross-functional engineering teams across various robotic sub-systems to integrate their work into a cohesive platform for operating autonomous and teleoperated systems in the field, ensuring compliance with all relevant standards and guidelines.

The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

Key Responsibilities

• Design and implement perception algorithms for object detection, terrain classification, and obstacle segmentation in off-road environments
• Fuse sensor data from LiDAR, cameras, radar, IMU, and GNSS for robust environmental understanding elevation mapping and free-space detection
• Apply machine learning and deep learning techniques for improved scene understanding in dynamic outdoor environments
• Optimize real-time perception pipelines for embedded hardware under size, weight, and power (SWaP) constraints
• Conduct field testing in challenging conditions (mud, dust, rain) to validate and improve algorithm robustness
• Integrate perception outputs with navigation and path planning systems for safe autonomous traversal of unstructured terrain
• Utilize simulation tools for development and validation of perception systems before field deployment
• Stay current with advancements in sensor technologies, AI, robotics, and industry standards to drive innovation and maintain technical leadership.

Your Profile

• MS or higher in Robotics, Computer Vision, or related engineering fields
• Strong proficiency in C++ and Python software development
• Solid understanding of perception algorithms terrain classification, obstacle detection, segmentation and traversability estimation in dynamic outdoor environments
• Strong experience in developing and deploying machine learning–based perception systems for robotics in real-world, unstructured environments
• Proficiency with ML frameworks (e.g., PyTorch and TensorRT) and perception data processing libraries (e.g., OpenCV, PCL and Open3D)
• Proficiency with ROS2 and simulation tools for algorithm validation
• Proficiency with Linux systems, version control, CI/CD, and software engineering best practices in a robotics context
• Self-motivated, organized, and proactive work style

Nice-to-have:

• Proficiency in Rust or CUDA programming
• Knowledge of real-time embedded systems and optimization for edge computing platforms (e.g., NVIDIA Jetson, FPGA)
• Experience in GPS-denied navigation for autonomous vehicles or robotics

About The Role

Your Mission

The Autonomy Team is seeking a Senior Sensor Fusion & Localization Engineer to help bring ARX Robotics robot autonomous capabilities the next level. This role involves developing and productizing innovative solutions that will transform the field manned and unmanned ground vehicles.

You will collaborate with talented and dedicated cross-functional engineering teams across various robotic sub-systems to integrate their work into a cohesive platform for operating autonomous and teleoperated systems in the field, ensuring compliance with all relevant standards and guidelines.

The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

Key Responsibilities

• Develop and implement advanced sensor fusion algorithms using techniques such as Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), Nonlinear Observers, and factor graph-based SLAM frameworks for robust localization in GPS-denied environments.
• Integrate and synchronize data from multiple sensor modalities, including cameras, LiDAR, radar, IMUs, GNSS, magnetometers, and barometers, to create accurate and reliable environmental representations.
• Design and optimize real-time data processing pipelines ensuring low-latency performance for autonomous systems.
• Validate and test in both simulated and real-world environments, including under degraded or denied GNSS conditions.
• Collaborate cross-functionally with software and hardware teams to ensure seamless integration and system optimization.
• Research, prototype, and deploy novel algorithms for multi-sensor fusion.
• Troubleshoot and debug complex sensor data and fusion issues to isolate and resolve defects.
• Stay current with advancements in sensor technologies, AI, robotics, and industry standards to drive innovation and maintain technical leadership.

Your Profile

• MS or higher in Robotics, Computer Vision, or related engineering fields
• Strong software development skills in C++ and proficient debugging skills for complex robotics systems
• Expertise in sensor fusion algorithms (EKF, UKF, particle filters, factor graphs) and state estimation techniques
• Solid understanding of robotics perception systems, including SLAM, visual odometry, and inertial navigation
• Proficiency with ROS2 and simulation tools for algorithm validation
• Experience with sensor calibration and synchronization (LiDAR, camera, IMU, GNSS, radar)
• Strong foundation in linear algebra, probability, and 3D geometry
• Proficiency with Linux systems, version control, CI/CD, and software engineering best practices in a robotics context
• Self-motivated, organized, and proactive work style

Nice-to-have:

• Proficiency in Python, Rust or CUDA programming
• Knowledge of real-time embedded systems and optimization for edge computing platforms (e.g., NVIDIA Jetson, FPGA)
• Familiarity with machine learning frameworks (e.g., PyTorch and TensorRT) and computer vision libraries (e.g., OpenCV)
• Experience in GPS-denied navigation for autonomous vehicles or robotics

The Role 

We are seeking a highly skilled Senior Software Engineer with expertise in designing and implementing scalable, data-driven systems. The ideal candidate is passionate about distributed systems, cloud-native technologies, and efficient data processing. The Senior Engineer will play a vital role in building both foundational engineering capabilities for scaling solutions and developing product solutions.

The Responsibilities 

Overall

• Design, develop, and maintain scalable backend services using Golang and Python.
• Build and optimize APIs using gRPC || GraphQL || REST to support high-performance applications.
• Deploy, manage, and monitor containerized applications using Docker and Kubernetes.
• Design and manage databases (SQL/NoSQL) to handle large-scale data efficiently.
• Implement CI/CD pipelines for automated testing, deployment, and monitoring.
• Work collaboratively with product managers, frontend engineers & researchers to deliver end-to-end solutions.
• Ensure application security, performance, and scalability best practices.
• Troubleshoot and optimize system performance, bottlenecks, and data pipelines.

Everyday

• Iterative updates and product development
• Planning, estimations, diagrams
• Prototyping for new features
• Agile sprint-based team cadence
• Brainstorming solutions with peers

The Requirements 

• 2+ years of experience in full-stack development.
• Strong proficiency in Golang || Python || TypeScript or similar languages.
• Experience with Kubernetes, Docker, and cloud-native application development.
• Hands-on experience with gRPC / GraphQL / REST APIs and microservice architecture.
• Knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
• Familiarity with scalable data processing techniques.
• “You build it, you run it” - Experience with monitoring, logging, and observability tools.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and teamwork skills.
• Understanding of DevOps practices.

Desired

• Experience with cloud platforms (GCP [preferred], AWS, or Azure).
• Knowledge of event-driven architectures and message brokers (e.g., Kafka, RabbitMQ).
• Familiarity with streaming technologies.
• Exposure to frontend frameworks (React [preferred], Vue.js, or Angular).
• Understanding of infrastructure-as-code (Terraform, Helm).