About The Role

Your Mission

The Autonomy Team is seeking a Senior 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

Benefits And Perks 

• Competitive salary and benefits package 

• A shaping role in an emerging dual use company 

• Opportunity to work with a highly innovative, international, and dynamic team 

• Room for professional growth and development 

• Access to regular events, knowledge exchange and meetups 

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.

Benefits And Perks  

• Competitive salary and benefits package  
• A shaping role in an emerging dual use company  
• Opportunity to work with a highly innovative, international, and dynamic team  
• Room for professional growth and development  
• Access to regular events, knowledge exchange and meetups 

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

Benefits And Perks 

• Competitive salary and benefits package 

• A shaping role in an emerging dual use company 

• Opportunity to work with a highly innovative, international, and dynamic team 

• Room for professional growth and development 

• Access to regular events, knowledge exchange and meetups 

About the role
We are looking for a mid–senior Deployment Engineer to take robotic systems from development to production and keep them running reliably in the real world. 

This role sits at the intersection of: 

• robotics systems (ROS-based)  

• software delivery (CI/CD, containers, releases)  

• real-world deployment constraints (networks, hardware, field debugging)  

You will own how software moves from code → robot → fleet, and how issues are detected, diagnosed, and resolved. 

This is not a traditional DevOps or field role. 
We are looking for someone who can build systems, not just operate them, and who can quickly create MVPs to validate ideas. 

Key Responsibilities 

• Be actively involved in production to integrate, deploy, and scale robotic systems effectively 

• Collaborate with software and testing teams to ensure systems are deployable, testable, and reliable in production 

• Deploy, configure, and maintain robotic systems, including controllers, radios, communication networks, and associated software stacks 

• Work closely with the software team to deploy, validate, and monitor firmware, drivers, and system configurations on robots 

• Design and maintain end-to-end deployment pipelines for ROS-based systems (build, package, release, deploy) 

• Automate deployment workflows and troubleshoot robotic systems across CAN, Ethernet, and wireless networks 

• Continuously optimize deployment processes to improve efficiency, scalability, and reliability in production environments 

• Document deployment procedures, system configurations, and troubleshooting workflows for effective knowledge sharing 

• Continuously improve deployment reliability, rollback strategies, and system observability 

Your Profile 

• Strong experience with ROS 2 and robotics software systems  

• Proficiency in C++ and/or Python, with solid Linux fundamentals  

• Hands-on experience with containerized systems and CI/CD pipelines (preferably GitLab) 

• Strong scripting skills in Python and Bash for automation and tooling  

• Good understanding of networking and communication protocols (CAN, Ethernet, wireless) 

• Proficiency in English. 

What helps you succeed in this role 

• You enjoy understanding how parts of a system connect and influence each other  

• You take ownership of problems and collaborate to drive them to resolution  

• You are comfortable working with evolving requirements and iterating on solutions  

• You like experimenting and building quick prototypes to test ideas  

• You care about delivering reliable solutions that work well for users and in production 

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.

Benefits and Perks

• Competitive salary and benefits package
• A shaping role in an emerging dual use company
• Opportunity to work with a highly innovative, international, and dynamic team
• Room for professional growth and development
• Participation in the company's success, with access to regular events, knowledge exchange and meetups

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Munich for our hybrid working model.

As an ideal candidate, you will have:

• 5 to 8  years of related industry experience, ideally 2 years of experience in a customer facing role
• Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273390805

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

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.

Join Apaleo and Shape the Future of Hospitality Tech!

Apaleo is the world’s most open, API-first property management platform powering the next generation of hospitality operations. Its modular, AI-powered infrastructure enables hoteliers to customise their tech stack, automate routine work, and deliver seamless, personalised guest experiences, powered by best-in-class apps and autonomous AI agents that adapt to every stay.

We are looking for a Senior Backend Engineer (f/m/d) to build the foundation of Apaleo’s market-facing API layer, bringing agentic booking into hospitality and enabling the next generation of guest-facing AI experiences.

This is a highly autonomous role where you will design and ship the Storefront API, a production-grade, scalable interface that allows external systems (like ChatGPT and booking platforms) to interact directly with Apaleo.

You’ll operate at the intersection of backend engineering and AI, starting with clean API architecture and evolving into systems that power intelligent, agent-driven interactions.

What You’ll Be Up To

Build the Storefront API from Scratch

• Design and implement a production-grade, multi-tenant API / MCP
• Enable seamless integration with external platforms and AI agents
• Ensure scalability, reliability, and high performance from day one

Own the Full API Lifecycle

• Define API schemas and contracts (OpenAPI)
• Implement versioning strategies and backward compatibility
• Design authentication, authorization, and security patterns
• Build rate limiting and usage controls
• Ensure strong documentation and developer experience
• Set up monitoring and observability

Work Across Distributed Systems

• Integrate with existing .NET microservices
• Connect to event-driven systems (Kafka or similar)
• Navigate and improve a complex distributed architecture

Operate in the Cloud

• Deploy and manage services in AWS
• Work with Docker and containerized environments
• Contribute to infrastructure as code practices

Collaborate on AI-Driven Use Cases

• Partner with AI engineers to enable agent-based workflows
• Build APIs that integrate with LLM-powered systems
• Help evolve the platform toward AI-native product capabilities

Shape Engineering Standards

• Define best practices for:
  • API design
  • System architecture
  • Code quality and maintainability
• Contribute to how the ecosystem team scales and operates

What You’ll Bring to the Team

Core Requirements

• Proven experience building and operating production-grade APIs at scale
• Strong expertise in REST API design and architecture
• Solid experience with C# / .NET 8+
• Hands-on experience with AWS, Docker, and infrastructure as code
• Strong understanding of microservices and distributed systems
• Ability to work independently and make architectural decisions
• Interest in AI systems and integrations

Mindset & Traits

• Self-starter — you take ownership and drive work without waiting for direction
• Comfortable with ambiguity — you can build in evolving, low-structure environments
• Pragmatic decision-maker — you balance speed with long-term scalability
• Builder mindset — you enjoy creating systems from scratch
• Curious about AI — you’re motivated by where backend systems meet intelligent agents

Nice to Have

• Experience with:
  • Event-driven systems (Kafka or similar)
  • Multi-tenant SaaS architectures
  • Developer-facing or public APIs
• Exposure to:
  • LLM integrations or agent-based systems
  • Python
  • Any major frontend framework
• Background in hospitality tech (not required)

Why This Role Matters

This role is about more than building APIs, it’s about defining how external systems interact with Apaleo in an AI-first world.

You’ll:

• Lay the foundation for market-facing, AI-integrated products
• Enable guest-facing experiences powered by intelligent agents
• Help transform Apaleo into a platform ready for autonomous systems

What We Offer

Culture & Growth

• A Diverse & International Team: Work alongside passionate professionals from over 20 nationalities, bringing unique cultural perspectives, backgrounds, and experiences to shape the future of hospitality tech.
• Growth & Development: As we scale, so do your opportunities. You’ll benefit from 360° feedback reviews, a dedicated learning budget, and plenty of chances to take on more responsibility. Our evolving career framework ensures you have increasing opportunities to learn new skills, advance your career, and make an impact.
• Autonomy & Ownership: Great ideas can come from anywhere. We empower you to take responsibility, make decisions, and contribute directly in an environment built on trust, transparency, and collaboration.
• Shape the Future of Hospitality Tech: Be part of a fast-growing scale-up transforming the hospitality industry. From day one, your work drives real impact and you’ll have the freedom to bring your ideas to life.
• Competitive & Fair Compensation: We believe great work deserves great pay. Our salaries are competitive and guided by benchmarking data to ensure fairness across all roles and teams. We make sure to recognize and reward performance and contribution.

Perks & Lifestyle

• Flexible & Remote Work Options: We focus on results, not clocking hours. You can work from home, the office or in a hybrid setup, with flexibility to adapt your schedule as long as it makes sense for your role, your team and our business.
• Free Public Transport: Travel across Germany with ease using our fully covered Deutschland Ticket.
• Team Connection: Strong connections fuel collaboration. We celebrate and connect through regular team dinners, company meetups, Oktoberfest celebrations, Christmas parties, and other offsite events.
• Paid Time Off: Enjoy 30 days of vacation to fully disconnect, recharge, and return inspired.
• Health & Wellbeing: Prioritize your health with access to hundreds of gyms, fitness studios, and wellness options through our EGYM Wellpass membership.

Available Locations: Amsterdam, Netherlands, Lisbon, Portugal, London, United Kingdom, Munich, Germany, Paris, France

What You’ll Do

The Pre-Sales Solutions Engineering organisation is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and efficient adoption roadmaps for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, curious and collaborative team.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support to do so. Your goal of customer success should drive you through the entire organisation as you seek out and create scalable solutions for your customer’s needs.

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare. All the resources and training required to be effective for the role, will be provided.

Examples Of Desirable Skills, Knowledge And Experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below: 

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent Czech and English (written & spoken).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?;
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some (10-15 days per quarter) travel without travel restrictions: we expect to travel to customer offices, conferences and/or do talks. 

Bonus! 

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends in Security such as Zero Trust. 

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Available Locations: London, Amsterdam, Lisbon, Munich, Paris

What you’ll do:

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Examples Of Desirable Skills, Knowledge And Experience:

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.

You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.

Additional experience might include:

• Language: fluent in Polish and English
• 5-to-10 years of experience in the IT industry.
• Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
• Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
• Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.

Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.

• 
  Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.
• Communication: Excellent presentation skills with a strong command of business English. 
• Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
• Travel: Ability to travel to customer sites, industry events and internal summits.

Bonus!

• Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.

• Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.

You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.

What You Will Do

• Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
• Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
• Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
• Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
• Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
• Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
• Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
• Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

Required

• 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
• Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
• Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
• System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
• Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
• Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
• You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
• Ability to travel.  This role requires domestic and international travel approximately 25–50% of the time.
• Elligible to work in Germany on an ongoing basis
• Fluency in English is required
• BS or MS in Computer Science, a related field, or equivalent industry experience

Nice to Have: 

• Experience founding or scaling an FDE/solutions engineering function. 
• Technical founder background. Databricks, AWS Bedrock, or Temporal experience. 
• Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
• Proficiency in German/French language will be an added advantage
• Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act) 

Location: Berlin (Hybrid) Travel: ~25%

About Parloa:

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. 

About the role:

We are on a mission to transform how people interact with companies by making every conversation seamless, personalized, and human-like. Our AI Agent Management Platform empowers enterprises to create and manage AI voice and chat agents at scale, turning interactions into lasting relationships.

As our Deployment Strategist, you will drive AI transformation at Global 2000 enterprises as the “Field CPO” for Parloa’s most strategic customers. You will own the bridge between customer outcomes and product reality, translating business needs into deployable product capabilities for customers like Booking.com, Allianz, Decathlon, and TUI.

This is an opportunity to build a new industry. Agentic AI for enterprise is nascent. You’ll define what “good” looks like - at the forefront, with the hardest customers, solving the toughest problems.

Areas of ownership:

• Land big clients (Global 2000 with complex, off-roadmap needs) and ensure their AI transformation succeeds.
• Manage stakeholders across business and tech (CEO, COO, CIO, CTO, VP Support), owning deployment from value thesis through production to expansion.
• Translate customer needs into product capabilities (not one-off customizations) that become reusable platform features.
• Build prototypes, make product changes, and create business plans hands-on - execution over PowerPoints.
• Represent customers to Parloa Product and represent Parloa Product to customers, bridging both worlds.
• Navigate ambiguity in agentic AI workflows, ROI models, and change management where no playbook exists yet.
• Own hard conversations: tradeoffs, “no,” re-scoping, and timeline realism with strategic accounts.
• Influence without authority across Product, Engineering, Sales, and Customer Success to drive outcomes.
• Feed validated learnings to product roadmap, turning customer work into platform capabilities that compound.

Who you are:

• 7-12 years of experience in enterprise software (solution architecture, product, or consulting) with a proven track record of customer-facing delivery.
• “Field CPO” mentality: ability to translate customer outcomes into product reality and vice versa.
• Business + tech stakeholder leadership: presented to C-suite across business and tech functions, demonstrated value, and ensured solutions make business sense.
• Product thinking: built client-specific roadmaps aligned with platform strategy.
• Architectural credibility: scoped off-platform features, assessed feasibility, and ensured supportability.
• Influence without authority: led cross-functional teams (Product, Eng, Sales, CS) without direct reports.
• Adaptability: comfortable being uncomfortable, willing to learn, operates in ambiguity.
• Hands-on execution: gets hands dirty - built prototypes, made product changes directly, created business plans. Not just an advisor.

Nice-to-have:

• Industry diversity: experience in travel, fintech, insurance, retail, healthcare, telecom, or enterprise software - we’re building a team with a broad industry perspective.
• Industry-changing companies: worked at companies that transformed their industry (Booking.com, Decathlon, N26, Deel, Stripe, Uber, Airbnb).
• Hypergrowth experience: thrived in fast-scaling environments (e.g., 25 to 1500 people).
• Background as Palantir Deployment Strategist, AWS/GCP Solutions Architect, or product roles at hypergrowth tech.
• Tech stack: architectural understanding of Python, TypeScript, Terraform, K8s, Azure/AWS.
• AI/ML: LLM pipelines, agentic AI deployment, prompt engineering.
• Learning loop: created reusable patterns from custom work, fed learnings to product.

Our recruiting process:

TA Screen (45 min) → Hiring Manager Call (45 min) → Product + Commercial Stakeholder Call (60 min.) →Technical Stakeholder Call (60 min.) → Case Study (take-home) → Bar Raiser Interview (60 min.)

Ready to build a new industry? Submit your resume and a brief cover note: “What’s a customer outcome you owned? What did you personally build/execute (not just advise)?”

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

Join us in reimagining customer experience with Agentic AI. As a Staff or Principal Software Engineer, you will play a critical role in shaping Parloa’s engineering strategy and architecture while staying close to the code. This role is about building resilient, enterprise-grade systems that can scale globally and helping us set the benchmark for engineering excellence in Europe and beyond.

Areas of ownership:

• Deliver business value by writing code every day.
• Define and drive technical strategy across multiple domains and org-wide initiatives.
• Lead cross-team architecture and ensure solutions scale globally for enterprise adoption.
• Balance short-term velocity with long-term resilience, making smart trade-offs on complexity, cost, and scalability.
• Remain hands-on - whether writing foundational code, leading design reviews, or refactoring key systems.
• Serve as a trusted advisor to leadership, ensuring engineering capacity matches market and customer demands.
• Set cultural standards for fearless iteration, bias for action, and pragmatic perfectionism—design for tomorrow, build for today.

OUR TECH STACK:

TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS 

Who you are:

• A seasoned technical leader (typically 12–15+ years) with a track record of org-level or industry-level impact.
• Deeply experienced in enterprise-scale systems and multi-team architecture leadership.
• Equally comfortable flying high (strategic vision) and diving deep (technical details).
• Thrives in ambiguous, high-stakes environments with a strong sense of urgency.
• Embodies Parloa’s ambition: to build Europe’s leading engineering culture and a world-class AI platform.
• Motivated by making the impossible possible and building something iconic.

Our engineering values:

At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you:

• Earn Trust – act with transparency and reliability.
• Obsess Over Customers – always start with the customer problem.
• Think Big – set bold goals and pursue them fearlessly.
• Have Integrity – do the right thing, especially when it’s hard.
• Disagree & Commit – debate with candor, align fast, and deliver.
• Own It – take full responsibility for outcomes, not just tasks.
• Dive Deep – master the details without losing sight of the big picture.
• Bias for Action – move fast, decide quickly, iterate fearlessly.
• Deliver Value – measure success by customer and business impact.
• Insist on the Highest Standards – raise the bar continuously.
• Go the Extra Mile – make the impossible possible.
• Hire & Elevate the Best – raise the bar with every hire

Our recruiting process:

Recruiter Call → Technical Peer Interview → 360° Tech Interview Loop → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

As a Senior Systems Operations Engineer at Spire, you will be responsible for ensuring that on-orbit mission operations meet and sustain technical and service-level objectives. You will serve as the technical link between the development and operations phases of the mission lifecycle, ensuring that the constellation behaves as expected and that any deviations are rapidly understood, assessed, and resolved with sound engineering judgment.  

This role is central to Spire’s strategy to deliver scalable, reliable, and technically assured services using model-based engineering and validated asset profiles. Your work will ensure that decisions affecting constellation performance are made with technical insight.  

Role Responsibilities:  

• Own the technical quality of mission operations during the on-orbit service period, ensuring Service Level Agreements (SLAs) are well defined, monitored, and maintained. 
• Assess and design strategies to address underperformance, providing detailed technical insight and coordinating resolution strategies in collaboration with Systems Engineering, Mission Design, and SRE. 
• Define and manage the high-level structure and performance requirements of asset profiles, ensuring they accurately represent mission needs and provide a clear basis for verification. Work with System Owners and SMEs to ensure subsystem capabilities are properly characterised, and with SREs to ensure ongoing validation of in-orbit performance. 
• Bridge the gap between Systems Engineering, Mission Design, Program Management, Customer Service, and SRE by providing technical leadership during the mission service period. Define the tooling and functional monitoring needs that enable the SRE team to maintain constellation health and respond effectively to deviations. 
• Support SRE, Platform, and Customer Service leads in triaging constellation or satellite issues that deviate from nominal asset profile definitions, ensuring escalation paths and responses are technically justified. 
• Act as a technical reviewer and contributor during Mission Readiness Review (MRR) and pre-launch handover, ensuring operational teams are equipped with validated, well-understood assets and clearly defined expectations for mission performance. 
• Identify operational risks and propose mitigations related to in-orbit performance, platform limitations, or evolving CONOPS. 
• Ensure technical consistency and justification for on-orbit changes such as mode transitions, re-tasking, or adjustments to duty cycles or resource allocations. Lead the rollout of complex fleet-wide changes when CONOPS are being updated, ensuring risks and dependencies are managed. 
• Collaborate across SRE, Platform, and Systems teams to codify lessons learned into reusable operational standards, documentation, and improved design practices for future missions. 
• Derive and maintain Operational Requirements by helping project teams translate mission and system-level requirements into operational-level non-functional requirements (SLOs, latency, freshness, availability), with verification methods and traceability. 
• Support configuration control during service, helping manage the versioned operational baseline (limits, parameters, tasking configurations) and working with SREs, System Owners, and Customer Service to prevent configuration drift across the fleet. 
• Support the definition and coverage of FDIR (Fault Detection, Isolation, and Recovery) logic, ensuring coverage against top failure modes and reducing residual operational risk over time. 

Basic Qualifications:  

• BSc in Aerospace Engineering, Systems Engineering, Computer Science, or other relevant technical discipline. 
• 3+ years of experience in system performance monitoring, root cause analysis, and anomaly resolution. 
• Solid understanding of space system behaviour on orbit, including thermal dynamics, power management, RF communications, and tasking impacts. 
• Ability to translate system-level engineering context into clear operational guidance and tooling requirements. 
• Familiarity with SLA-driven architectures, system observability, and mission assurance principles. 
• Clear communication skills to align stakeholders across engineering, operations, and customer delivery. 
• Familiarity with software tools and frameworks used in operations, including strong Python, SQL skills and GitHub-based workflows. 

Preferred Qualifications:

• 3+ years of experience supporting operations of multi-satellite constellations. 
• Knowledge of asset profiling approaches and system models (including fault profiles, mode transitions, and performance boundaries). 
• Understanding of ground-segment tooling, SRE practices, or telemetry/telecommand systems. 
• Experience working with cross-functional, multi-time zone teams across engineering and operations. 
• Background in satellite mission design, including the transition from development to operations. _LI-MK1

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _LI-MK1

Role

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

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

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

How your work moves the mission forward

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

Skills you will need to be successful

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

Skills that will differentiate your candidacy

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

Role

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

How your work moves the mission forward

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

Skills you will need to be successful

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

Skills that will differentiate your candidacy

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

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. 

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. 

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. 

The role

Our Ground to Air HMI enables air forces to operate autonomous systems in missions. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.

Taken together, this brings a whole host of interesting backend and frontend engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and eventual consistency)

• Human-autonomy teaming (e.g., HMIs for effective human oversight and control)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Real-time interfaces (e.g., tactical situation display and streaming sensor feeds)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust, Python, and TypeScript, with Python mainly living in the ML-heavy sections, TypeScript being used in our UIs, and Rust being used in backends, onboard, and embedded software.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Are familiar with backend interface tools like REST APIs, webRTC, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

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

• Development experience with a language like Rust, Java, Go, or C++.

• State-of-the-art experience with frameworks like React.

• Experience in designing long-lived protocols and data schemas for system integration.

• Enjoy designing data-heavy UIs and have strong prototyping skills.

• Experience building aviation software according to DALs and standards like DO-278.

• Knowledge about NATO UCS standards like STANAG 4586/AEP-84.

• Knowledge about Metrics tooling (e.g., Prometheus, Grafana, ELK).

• Experience with production ML 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

• 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
  
  

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

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. 

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. 

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. 

The role

Our Autonomous Air System V&V team builds the simulation and validation environments that enable rigorous testing of autonomous air systems before they ever leave the ground. We develop Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) environments that allow engineers to integrate, test, and assure AI-driven capabilities against virtualised and representative hardware.

We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.

Taken together, this brings a whole host of interesting backend engineering challenges across a wide variety of fields that you'll help us solve. To give some examples:

• Simulation frameworks (e.g., high-fidelity SiL/HiL environments, real-time and deterministic simulation)

• Test automation (e.g., fault injection, automated test coverage, regression testing at scale)

• Hardware-software integration (e.g., testing against representative hardware, sensor and actuator interfaces)

• Real-time and high-performance computing (e.g., concurrency, low-latency execution, profiling and optimization)

• Distributed systems (e.g., orchestrating complex multi-component test environments)

• Deployment infrastructure (e.g., air-gapped devices and heterogeneous test rigs)

• Machine learning (e.g., systems for testing and validating AI/ML model behaviour)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Design and develop modules in simulation and validation frameworks, writing high-performance Rust code for simulators and test infrastructure.

• Build tools for automated test coverage, fault injection, and regression testing to ensure comprehensive validation of autonomous systems.

• Work closely with autonomy and systems teams to capture requirements and ensure simulation environments accurately represent real-world conditions.

• Debug and profile simulation performance, identifying bottlenecks and optimizing for speed, determinism, and fidelity.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is primarily Rust and Python.

• Maintain documentation and testing infrastructure, ensuring that our simulation environments are well-documented and accessible to other teams.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Write modern, maintainable Rust.

• Have experience in simulation, testing, robotics frameworks or autonomous driving.

• Are comfortable with complex systems and concurrency.

• Care about reliability, performance, and safety.

• Enjoy working on the interface between software and hardware.

• Are motivated by fast feedback loops and real impact.

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

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

• Aerospace or automotive background.

• Software/Hardware-in-the-loop or simulation experience.

• Experience building test rigs or ground-based integration systems.

• Knowledge of flight dynamics or control systems.

• Exposure to AI/ML systems testing.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• Production ML 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

• 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
  
  

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

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. 

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. 

We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. 

The role

You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. At Helsing, you won't just be developing software; you'll be integrating state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.

Working at the intersection of machine learning and systems engineering, you'll integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight. This isn't theoretical; your code will enable the CA-1 Europa to perceive, reason, and act autonomously in the most demanding environments.

What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so it must be both reliable and frictionless. To give some examples:

• Autonomous Decision-Making Systems — reliable pipelines from sensor data to RL inference to tactical execution, including edge-case and failure-mode handling.

• Reinforcement Learning Integration — bridging Python-based RL agents with Rust runtime systems for low-latency, reproducible inference.

• Distributed Systems & Communications — handling intermittent connectivity and bespoke hardware protocols.

• Training Infrastructure — distributed training, evaluation pipelines, and large-scale runs on custom simulators.

In some areas, we're working at the state-of-the-art—actively implementing research papers and pushing further. In others, we're applying proven techniques to real-world situations they've never encountered before. Both require skill, diligence, and deep technical understanding.

Our software operates under significant constraints, in constantly-changing environments, for users in high-risk situations. It must be reliable and frictionless. That's what makes this work hard—and worth doing.

The day-to-day

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level, including hardware-in-the-loop (HIL) simulations and flight testing. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Review code contributions, proposals, and RFCs from colleagues, ensuring robustness and adherence to safety and performance standards critical for airborne applications. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack, with a focus on refining the capabilities and reliability of our airborne mission systems. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming, particularly on complex system architectures involving tight hardware-software integration on a real-world aerial platform.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have strong backend or embedded development experience, ideally with a language like Rust, Go, or C++.

• Feel comfortable working with Python with the ML-heavy sections of the stack.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

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

• Rust and Python specifically.

• Experience in deploying Reinforcement Learning or Machine Learning agents in real-world systems

• Safety Programming Experience

• Familiarity with low-level flight control systems and their interfaces, even if not directly developing them.

• Experience with sensor integration (IMUs, GPS, Lidar, Cameras) and sensor fusion techniques for navigation.

• Robotics (e.g., control systems).

• Production ML systems.

• Hardware interfaces (e.g., Arduino).

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

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.

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

Imagine building the vital infrastructure for a cutting-edge autonomous aerial platform that will actually take flight. At Helsing, you won't just be developing software; you'll be shaping the foundational capabilities for our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa. This is a unique opportunity to directly contribute to a novel system designed from the ground up.

You will be building the higher-level mission control foundation, the sophisticated infrastructure that enables real-time sensor processing, secure communication, seamless integration of autonomous decision-making modules, and reliable interfacing with lower-level flight control systems. This isn't theoretical; your code will be critical to the CA-1 Europa's ability to fly, perceive, and operate effectively in the most demanding environments.

We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so it must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems & Communications (e.g., intermittent connectivity and integrating with bespoke communication hardware and protocols)

• Embedded computing (e.g., resource-constrained compute and real-time operating systems)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment & Integration Infrastructure (e.g., designing and implementing custom secure runtime environments for vendor code)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues, ensuring robustness and adherence to safety and performance standards critical for airborne applications. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack, with a focus on refining the capabilities and reliability of our airborne mission systems. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level, including hardware-in-the-loop (HIL) simulations and flight testing. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming, particularly on complex system architectures involving tight hardware-software integration on a real-world aerial platform.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have strong backend or embedded development experience, ideally with a language like Rust, Go, or C++.

• Feel comfortable developing distributed systems.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Nice to have

• Significant experience with Rust.

• Network programming experience.

• Experience designing or implementing custom runtime environments, sandboxing, or secure execution contexts for third-party code.

• Experience with avionics, flight control systems, or Guidance, Navigation, and Control (GNC).

• Familiarity with low-level flight control systems and their interfaces, even if not directly developing them.

• Experience with sensor integration (IMUs, GPS, Lidar, Cameras) and sensor fusion techniques for navigation.

• Hardware interfaces (e.g., Arduino).

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
  
  

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 develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

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

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML 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

• 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.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

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

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML 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

• 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.

Who we are

The Role 

Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.

Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.

We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward. 

The day-to-day

• As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.

• You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance

• You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance

• You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.

• You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack

Key Skills 

• Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling  

• Experience with GitOps workflows and CI/CD automation

• Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)

• Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco

• Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks

• Networking: Expert understanding of networking concepts, protocols and security

• MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms

• Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper

• System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems

• Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions

You should apply if you

• Have a high level of personal integrity, reliability, and attention to detail

• Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity

• Have experience running cloud-native workloads in on-premises or air-gapped environments

• Are willing to relocate to Munich, London, or Berlin.

Note: We operate at an intersection where women, as well as other minority groups, are systemically 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.

Who we are

The day-to-day

• Provide technical support to end-users via Slack, email, or in-person, troubleshooting hardware, software, and connectivity issues.

• Proactively maintain our local video conferencing hardware and provide in-person meeting support.

• Monitor and manage tickets using Jira Service Management, ensuring timely resolution and escalating complex issues when necessary.

• Manage user and device lifecycle processes, ensuring new joiners are set up for success on day one.

• Partnering with Helsing's broader IT team on the operation and continuous optimisation of Helsing's corporate IT environment, built primarily using Microsoft 365.

You should apply if you

• Enjoy solving technical problems, are eager to learn new technologies and have a passion for helping others succeed.

• Are fluent in both English and German; Helsing's language of business is English.

• Have experience in an IT support role, particularly working with macOS, Windows and iOS.

• Can prioritise and manage multiple tasks in a fast-paced, dynamic environment.

• Have a proactive mindset and enjoy identifying and resolving potential issues before they arise.

• Bring a customer-first attitude with great communication skills and a strong focus on delivering an excellent user experience.

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

• Experience working with M365, more specifically Entra ID, Exchange and SharePoint.

• Experience working with Mobile Device Management tools like Intune, Jamf and JumpCloud.

• Experience working with PowerShell or Python to automate workflows.

• Hands-on experience with networking concepts like Zero Trust and VPN troubleshooting.

• Experience working in a fast-growing startup or a high-paced, dynamic environment.

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

What we offer

Who we are

The role

The day-to-day

• Develop flights dynamics models for different aerial platforms end to end: from model architecture definition and specification of numerical/experimental campaigns all the way to model validation in flight test 

• Support the specification and execution of tests for model validation

• Collaborate with interfacing disciplines such as Control, Aerodynamics, and Testing

• Follow and analyse flight tests

You should apply if you

• Hold a M.Sc. in Aeronautical Engineering, Mechanical Engineering or an equivalent degree

• Have at least 5 years of professional experience in flight dynamics modelling 

• Have very good skills in Matlab/Simulink

• Have a solid background in aerodynamics, stability and control, and systems modelling

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

• Possess solid software engineering skills, writing clean and well-structured code in Matlab and/or languages like Python, Rust, Java, or modern C++

• Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art dynamics modelling

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 with control systems design, applied aerodynamics, system identification

• Previous experience in deploying dynamics models to real time test rigs such as HIL

• A (private) pilot license and/or flying RC model planes

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.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

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

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

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.

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.

What you will do:

• Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.

• Scale our current infrastructure and tooling stack to support faster and larger distributed training.

• Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.

You should apply if you:

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

• Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). 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 engineering culture.

• Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.

• You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.

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 hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).

• You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.

• You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.

• You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.

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

• A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines 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 AI and engineering teams from day one

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

Helsing is a defence AI company with the mission is to protect our liberal democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. We believe we have a responsibility to be thoughtful about the development and deployment of powerful technologies like AI and take this responsibility seriously. 

We are an ambitious and committed team of software and deployment engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems today.

We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. 

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 signal processing team, where you will build in-house solutions for signal processing problems that we face, in the sky or underwater.

The day-to-day

You will develop and extend the state-of-the-art in signal processing, applying and deploying the technology in real-world scenarios.

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

You should apply if you

• Hold an MSc in signal processing, machine learning, robotics, communication engineering 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 the state-of-the art in ML/AI

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

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

• A PhD in signal processing, machine learning, robotics, communication engineering or related field and have authored publications in top-tier journals and conferences

• Experience with implementing signal processing algorithms, time frequency analysis, parameter estimation

• Experience deploying AI software to production including testing, quality assurance, and monitoring

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 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 real-world robustness.

You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.

You should apply if you

• Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.

• Have hands-on experience training and deploying RL-based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.

• Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.

• Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.

• Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.

• 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 re-implementing and extending state-of-the-art papers.

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 Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).

• Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.

• Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.

• Familiarity with low-level motor control interfaces and real-time embedded systems constraints.

• Experience with online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions

• Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.

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 deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks.

You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. you'll be developing state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.

The day-to-day

You'll build, train and integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight. 

You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning. 

You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.

You should apply if you

• Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics.

• 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/or languages like Rust, Java, or modern C++, 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 reinforcement learning, multi-agent systems, automation and control, robotics, or related fields and have authored publications in top-tier journals and conferences (eg, NeurIPS, ICML, ICLR, AAMAS).

• Experience with large-scale RL training.

• Experience modeling and training multi-agent controllers using state-of-the-art tools and techniques.

• Experience deploying AI software to production including testing, quality assurance, and monitoring

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 day-to-day

You will be responsible for defining operational domains and evaluating the reliability of the AI capabilities developed in-house. You will develop and extend the state-of-the-art in uncertainty quantification and uncertainty calibration. This will involve understanding the AI systems we build, interfacing with them, and evaluating their robustness in real-world and adversarial scenarios. You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.

You should apply if you

• Hold a STEM MSc with solid mathematical and statistical background.

• 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/or languages like Rust, Java, or modern C++, 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 systemically 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 either model evaluation and robustness, uncertainty quantification, experimental design, causal inference or related fields.

• Have authored publications in top-tier journals and conferences (e.g., NeurIPS, ICML, ICLR, etc.).

• Previous industrial experience in assuring the safe deployment of AI products.

• Experience deploying AI software to production including testing, quality assurance, and monitoring

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 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. 

Cherry Ventures is supporting our portfolio with this hire

Role: Backend & Infrastructure Engineer

We are hiring a Backend & Infrastructure Engineer to build and scale the platform that powers our energy products. You will own the infrastructure and data systems that connect hundreds of battery installations, ensuring reliability, performance, and scalability as we grow.

We are building Co-Power to power Europe's industry. We believe in a future of true energy abundance, where clean electricity is ultra-affordable, resilient, and a competitive advantage for European manufacturers.

We install large-scale batteries at industrial sites and connect them into an intelligent network that manages electricity in real time, turning factories into energy hubs and making intermittent renewables reliable, dispatchable, low-cost power available around the clock.

Our mission is bold – and we're looking for people who don't just want to rethink energy, but to build the energy company of the future.

What You Will Do

• Own platform reliability and infrastructure scaling as we grow from pilot sites to hundreds of connected battery systems.
• Contribute to data platform architecture – help shape how we ingest, store, and serve time-series data from battery systems and EMS integrations.
• Optimize database performance for high-throughput telemetry data at scale.
• Design monitoring and alerting logic for system health, timeseries data, and model performance in production.
• Build and improve CI/CD pipelines and deployment automation for backend services on AWS.
• Work closely with our data science team to bring models into production with a strong focus on robustness and real-world performance.

What We're Looking For

• 3–5+ years of experience in backend engineering, infrastructure, or platform roles.
• Production AWS experience (ECS, Lambda, EventBridge, RDS).
• Strong PostgreSQL skills – query optimization, indexing, performance tuning.
• Python backend development (FastAPI, SQLAlchemy preferred).
• Infrastructure-as-code (Terraform, CDK, or CloudFormation).
• Comfort with SQL for data exploration and pipeline development.

Bonus if you are experienced with:

• Time-series databases (TimescaleDB, InfluxDB, or similar)
• MLOps practices – model versioning, experiment tracking, CI/CD for ML pipelines
• Energy sector or IoT experience

Benefits

• A competitive salary, potentially alongside equity in Co-Power.
• Top-notch equipment. You choose what you need.
• A dog-friendly office at Goetheplatz, Munich, with all the usual shenanigans.
• While we allow for plenty of flexibility, we ask for an office-first commitment: when you're not traveling, most of your time will be in the office. In an early-stage company, people learn faster, connect better, and accomplish more when they spend meaningful time together.

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 Vehicle OS portfolio. In this role you will work closely with vehicle software and tooling teams at OEMs and Tier 1s to ensure Applied’s solutions deliver maximum impact in advancing customers’ Software-Defined-Vehicle (SDV) strategies and in-cabin user experiences.

Vehicle OS is Applied Intuition’s software platform for SDV. It enables OEMs to modernize their E/E architecture through three interconnected areas:

• Middleware & architecture  Service-oriented, middleware-driven software stacks built on AUTOSAR Adaptive Platform, SOME/IP, and DDS. Helps OEMs migrate from distributed ECU architectures to zonal, centralized compute.
• Developer toolchain  A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in virtual ECU environments analogous to what cloud virtual engineering workbenches (e.g., AWS VEW) brought to cloud-native development, but purpose-built for automotive E/E systems.
• IVI & in-vehicle infotainment  Android Automotive OS (AAOS) based platform, HMI/cluster software, and intelligent in-cabin experiences including Cabin Intelligence (DMS, OMS, voice, occupant interaction).

This role sits at the intersection of all three areas, and the balance will depend on the customer mix.

At Applied Intuition, you will:

• Act as the technical bridge between automotive customers and Applied Intuition’s engineering and product teams
• Support OEMs in adopting Vehicle OS: middleware stack, developer SDK, and IVI/infotainment integration
• Lead technical discussions, architecture reviews, demos, and early-stage deployments with OEM and Tier 1 engineering teams
• Help customers adopt Applied’s code-first developer toolchain, onboarding engineering teams onto the SDK, setting up virtual ECU environments, and integrating with customers’ existing CI/CD pipelines
• Guide OEMs through the design and implementation of service-oriented vehicle architectures and support system integration across ECUs, domain controllers and high-performance compute
• Work with customers’ IVI and infotainment teams on AAOS integration, Linux-based IVI stack deployment, HMI/cluster software, and Cabin Intelligence features (driver monitoring, occupant monitoring, voice/AI interaction)
• Collaborate with customers and internal product teams to triage and resolve technical issues
• Manage project milestones and communicate progress across multiple customer and internal stakeholders

We're looking for someone who has:

• 3+ years of experience working with automotive OEMs or suppliers, ideally in SDV, E/E architecture, developer tooling, or in-vehicle infotainment/IVI
• Experience with AUTOSAR (Classic or Adaptive) and automotive developer tooling
• Familiarity with vehicle communication protocols: SOME/IP, DDS, CAN, LIN, or automotive Ethernet
• Experience with at least one of the following:

• • Vehicle software developer toolchain: SDK-based development, virtual ECUs, SIL environments, or CI/CD pipelines for automotive software
  • IVI / infotainment platforms: Android Automotive OS (AAOS), Linux-based IVI, HMI/cluster software, or display middleware

• Execution-driven mindset with strong attention to detail and ability to manage multiple customer engagements in parallel
• Experience working directly with customers on complex problems at the intersection of software and vehicle systems
• Degree in computer science, electrical engineering, or related field
• Basic / intermediate programming experience in C/C++, Python, or similar
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Hands-on experience with Applied Intuition’s Vehicle OS or a comparable SDV platform
• Knowledge of zonal E/E architectures, HPC platforms, or software-defined networking in vehicles
• Experience with OTA systems and vehicle software lifecycle management
• Familiarity with ISO 26262 functional safety or SOTIF in the context of IVI or ADAS systems
• Experience with Cabin Intelligence technologies: driver monitoring (DMS), occupant monitoring (OMS), or in-cabin perception and AI
• Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences
• Experience with simulation environments or digital twin platforms to validate vehicle software
• Project management experience in cross-functional, customer-facing programs

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, 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.

About the role

We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle software and tooling teams at OEMs and Tier 1s to ensure Applied’s solutions deliver maximum impact in advancing customers’ Software-Defined-Vehicle (SDV) strategies and in-cabin user experiences.

Vehicle OS is Applied Intuition’s software platform for SDV. It enables OEMs to modernize their E/E architecture through three interconnected areas:

• Middleware & architecture  Service-oriented, middleware-driven software stacks built on AUTOSAR Adaptive Platform, SOME/IP, and DDS. Helps OEMs migrate from distributed ECU architectures to zonal, centralized compute.
• Developer toolchain  A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in virtual ECU environments analogous to what cloud virtual engineering workbenches (e.g., AWS VEW) brought to cloud-native development, but purpose-built for automotive E/E systems.
• IVI & in-vehicle infotainment  Android Automotive OS (AAOS) based platform, HMI/cluster software, and intelligent in-cabin experiences including Cabin Intelligence (DMS, OMS, voice, occupant interaction).

This role sits at the intersection of all three areas, and the balance will depend on the customer mix.

At Applied Intuition, you will:

• Act as the technical bridge between automotive customers and Applied Intuition’s engineering and product teams
• Support OEMs in adopting Vehicle OS: middleware stack, developer SDK, and IVI/infotainment integration
• Lead technical discussions, architecture reviews, demos, and early-stage deployments with OEM and Tier 1 engineering teams
• Help customers adopt Applied’s code-first developer toolchain, onboarding engineering teams onto the SDK, setting up virtual ECU environments, and integrating with customers’ existing CI/CD pipelines
• Guide OEMs through the design and implementation of service-oriented vehicle architectures and support system integration across ECUs, domain controllers and high-performance compute
• Work with customers’ IVI and infotainment teams on AAOS integration, Linux-based IVI stack deployment, HMI/cluster software, and Cabin Intelligence features (driver monitoring, occupant monitoring, voice/AI interaction)
• Collaborate with customers and internal product teams to triage and resolve technical issues
• Manage project milestones and communicate progress across multiple customer and internal stakeholders

We're looking for someone who has:

• 3+ years of experience working with automotive OEMs or suppliers, ideally in SDV, E/E architecture, developer tooling, or in-vehicle infotainment/IVI
• Experience with AUTOSAR (Classic or Adaptive) and automotive developer tooling
• Familiarity with vehicle communication protocols: SOME/IP, DDS, CAN, LIN, or automotive Ethernet
• Experience with at least one of the following:

• • Vehicle software developer toolchain: SDK-based development, virtual ECUs, SIL environments, or CI/CD pipelines for automotive software
  • IVI / infotainment platforms: Android Automotive OS (AAOS), Linux-based IVI, HMI/cluster software, or display middleware

• Execution-driven mindset with strong attention to detail and ability to manage multiple customer engagements in parallel
• Experience working directly with customers on complex problems at the intersection of software and vehicle systems
• Degree in computer science, electrical engineering, or related field
• Basic / intermediate programming experience in C/C++, Python, or similar
• Strong written and verbal communication skills in English; German and/or additional European language is a significant plus

Nice to have:

• Hands-on experience with Applied Intuition’s Vehicle OS or a comparable SDV platform
• Knowledge of zonal E/E architectures, HPC platforms, or software-defined networking in vehicles
• Experience with OTA systems and vehicle software lifecycle management
• Familiarity with ISO 26262 functional safety or SOTIF in the context of IVI or ADAS systems
• Experience with Cabin Intelligence technologies: driver monitoring (DMS), occupant monitoring (OMS), or in-cabin perception and AI
• Exposure to perception systems or AI/ML pipelines applied to in-vehicle experiences
• Experience with simulation environments or digital twin platforms to validate vehicle software
• Project management experience in cross-functional, customer-facing programs

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, 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.

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 impact you will make

As a Scientific Electronics Engineer, you will play a key role in bridging hardware and software for experimental setups. You will design, develop and integrate low-voltage electronics, microcontrollers and FPGA systems into complex experiments, while creating GUIs and software tools to control and monitor them. Working with Tango Controls, Taranta or similar frameworks, you will ensure seamless communication between devices and software.

Your responsibilities

• Collaborate closely with Scientists and Engineers to design, develop and implement experimental equipment and setups
• Program and develop user interfaces (GUIs) using PyQt or similar frameworks to control experimental devices and systems
• Integrate microcontrollers, FPGA boards and low-voltage electronics into software systems for experimental setups
• Work with Tango Controls, Taranta or similar control frameworks to interface hardware with software
• Monitor, analyze and process TTL signals for triggering cameras and other devices, including noise reduction and signal integrity verification
• Work with sensors, instrumentation and data acquisition systems to ensure reliable and accurate signal transmission and timing
• Assemble, install and commission electronics and software systems for data acquisition and control onsite
• Write clear and detailed documentation including software specifications, deployment instructions, troubleshooting guides and signal processing reports
• Contribute to the Engineering Quality Management System by creating procedural documentation and establishing engineering best practices
• Provide hands-on support to the science team during setup phases and experimental campaigns

What you bring

• Bachelor’s or Master’s degree in Engineering or a related field (e.g., Electronics, Mechatronics, Control Systems)
• Practical experience with low-voltage electronics, microcontrollers, FPGA and embedded systems.
• Knowledge of PCB design tools such as KiCad, Eagle or Altium Designer, including schematic capture, PCB layout and design for manufacturing considerations
• Strong software skills in Python (including OOP) and experience developing GUIs with PyQt or similar tools
• Experience with Tango Controls, Taranta or similar scientific control frameworks
• Familiarity with electrical documentation tools such as EPLAN, SolidWorks Electrical or similar
• Ability to read and interpret schematics, wiring diagrams and harness drawings
• Knowledge and practical application of IEC standards commonly used in Germany for low-voltage systems, including: IEC 61131, IEC 61010, IEC 61508 / 61511
• Experience with version control systems (Git, Azure DevOps, etc.) and collaborative software development
• Excellent communication skills, structured working style and strong problem-solving ability
• Flexibility, adaptability and willingness to travel to national and international laboratories
• Previous experience in scientific facilities (laser, optics, nuclear or high-tech industries)

What sets you apart

• Fluent in German is a plus, but not mandatory
• Knowledge of PLCs or multi-axis stepper motor controllers
• Understanding of laser, optics or nuclear physics principles
• Experience with CAD/ PDM systems (Inventor, Vault, or similar)

What we offer

Our mission is motivation enough for many. But we also support our team with benefits that foster wellbeing and growth: 

• Public transport reimbursement 
• EGYM Wellpass fitness club access 
• Complimentary health insurance 
• Professional development support 
• Company pension plan
• Healthy office snacks 

For more information on how we process your application data, please review our privacy notice.

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.

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

CLion is a cross-platform IDE for C and C++ that supports GCC, Clang, MSVC, GDB, and LLDB.

We are looking for a Software Engineer to join the CLion team and help improve the embedded development experience in the IDE. You’ll work on debugger support, integrations with debug probes and servers, and RTOS-aware debugging features for embedded targets.

This role combines low-level engineering and product work, from interacting with debuggers and embedded tooling to integrating new capabilities into CLion's UI and workflows.

As part of our team, you will:

• Develop CLion as a product and take part in discussions about new features.
• Improve debugger support for embedded development scenarios.
• Build integrations with debug probes, debug servers, and related tooling.
• Work on RTOS integration and RTOS-aware debugging features.
• Implement features for inspecting threads and tasks, memory, registers, and target states.
• Support remote and cross-platform debugging workflows.
• Collaborate with QA engineers and users to investigate issues and improve the product.

We’ll be happy to have you on our team if you:

• Have 3+ years of commercial development experience in C++, Java, or Kotlin.
• Understand how debuggers work and are interested in systems-level development.
• Have experience with embedded software development and debugging.
• Are familiar with GDB and/or LLDB.
• Understand multithreading and low-level application behavior.
• Are familiar with Unix, macOS, and Windows.
• Understand OOP and know how to design modular, scalable APIs.
• Can write automated tests.
• Can work both independently and as part of a team.

We'll be especially thrilled if you:

• Have experience with RTOSes, embedded targets, and firmware debugging.
• Have worked with debug probes and vendor-specific embedded ecosystems.
• Have experience with CMake, cross-toolchains, and the GNU Toolchain or Clang.
• Have experience using Python.
• Have experience with IntelliJ-based plugin development.
• Have good written English skills.

How we develop CLion

• CLion is based on the IntelliJ Platform, which is also the foundation for other JetBrains products such as IntelliJ IDEA, WebStorm, PhpStorm, RubyMine, and PyCharm.
• The source code is stored in Git repositories, some of which are available on GitHub.
• Most of the source code is written in Java and Kotlin, while some debugger-related components are in C, C++, and Python.
• CLion is a distributed team, and all team members communicate with users, discuss feature requests, take part in troubleshooting, and clarify bug reports.

Benefits:

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-MP1

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

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