About the Role

At SharkNinja, we create intelligent, connected products that delight consumers and disrupt categories. We're growing our engineering teams across Firmware, Cloud, and Mobile App development. We are building systems that integrate hardware, software, and digital experiences using AI-driven processes to help accelerate design, coding, and testing.

Come help design and deliver the next generation of SharkNinja products from mobile applications that connect consumers to their devices, full-stack architectures that enable seamless experiences, and cross-platform solutions that bring intelligence directly to users' fingertips. You'll contribute to our existing SharkClean app platform while helping shape the future of a unified app ecosystem spanning all connected devices for SharkNinja. Together, we're making our products feel smarter every day they're in the home.

What You'll Do

• Build cross-platform solutions using React Native to accelerate feature delivery across iOS and Android.

  • Collaborate with embedded, cloud, and hardware teams to deliver end-to-end connected product experiences.

  • Design and implement full-stack system architectures that integrate mobile apps with cloud services and connected devices.

  • Write, execute, and automate tests to ensure reliability, performance, and consumer-ready quality.

  • Debug and optimize mobile app performance for consumer-scale deployment across diverse device ecosystems.

  • Work closely with cross-functional development teams spanning the entire software stack from embedded to cloud.

What You'll Bring

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Strong experience in React Native development for iOS and Android development with deep understanding of Typescript.
• Proficiency with modern mobile development tools: VSCode, Xcode, Android Studio, Git, Gradle, CocoaPods, Swift Package Manager, etc.
• Experience working with cross-functional development teams across the software stack.
• Understanding of full-stack system architecture and mobile-to-cloud integration patterns.
• A passion for creating consumer-friendly, connected product experiences.
• Curiosity, adaptability, and a drive to be part of an A-Player engineering team.

Preferred Qualifications

• Rust for cross-platform modules, React Navigation, React Query state management, Protobuf APIs, Xcode/Android Studio build systems
• Prior work with connected devices, IoT ecosystems, or device-to-app connectivity.
• Knowledge of BLE (Bluetooth Low Energy) and WiFi connectivity protocols.
• Experience with Rust, C/C++, or other systems programming languages. Learn
• Background in robotics, consumer electronics, or smart home products.

The role

Nebius is building the next generation Full-stack AI cloud platform to power model training, post-training, and large-scale inference for AI-native companies and enterprises. As we expand our presence across the global AI startup ecosystem, we are looking for an Industry Partnerships Lead to build strategic relationships with leading technology companies, enterprises, and industry platforms. 

This role focuses on developing partnerships that accelerate adoption of Nebius infrastructure by collaborating with leading AI-native companies, digital-native companies, and enterprises that share the same startup ICP, while creating long-term ecosystem value through joint go-to-market initiatives and industry collaboration. 

You will work closely with the venture partnerships, community, sales, marketing, channel and BDRs to identify high-impact opportunities and build scalable partnership programs. 

You’re welcome to work hybrid from London or remote from Paris.

Your responsibilities will include: 

Develop strategic industry partnerships 

• Identify and build relationships with leading AI-native startups, digital-natives, enterprises, and ecosystem partners across priority industries with the shared startup ICP. 
• Establish Nebius as a strategic infrastructure partner within emerging AI ecosystems. 

Drive joint go-to-market initiatives 

• Create and execute partnership initiatives such as joint programs, campaigns, ecosystem collaborations, and industry events. 
• Work with internal sales and marketing teams to translate partnerships into qualified opportunities and pipeline. 

Build industry-focused ecosystem programs 

• Design programs that connect industry leaders with founders, startups, researchers building on Nebius. 
• Support vertical initiatives across key sectors such as Robotics & physical AI, HCLS, Media & Entertainment, Retail, Gaming and more.  

Enable cross-functional collaboration 

• Partner closely with sales, marketing, channels, BDR and CSA teams to ensure alignment on partnership opportunities and customer needs. 
• Establish clear frameworks and playbook for partner engagement and internal collaboration. 

Operationalize partnership workflows 

• Track partner engagement, pipeline contribution, and program outcomes through CRM systems and internal processes. 
• Continuously refine partnership strategy based on ecosystem insights and market developments. 

Pipeline Generation 

• Build systematic programs and engagement models with industry partners to accelerate startup customer adoption and conversion. 
• Identify and activate shared ICP opportunities between Nebius and industry partners to generate qualified startup pipeline. 
• Design joint initiatives (e.g., partner-led programs, co-hosted events, ecosystem initiatives, or sector-focused programs) that drive founder and researcher engagement. 

We expect you to have: 

• 7+ years of experience in strategic partnerships, business development, ecosystem strategy, or GTM roles 
• Experience working with AI infrastructure, cloud platforms, or tech ecosystems 
• Strong understanding of startup and venture ecosystems 
• Proven ability to build strategic partnerships that drive adoption, pipeline, or revenue 
• Experience working in high-growth startups, scale-ups, or technology companies 
• Ability to collaborate across sales, marketing, product, and engineering teams 
• Familiarity with CRM tools such as Salesforce or HubSpot 

The role 

In this role, you will lead Wayve’s Controls team, an experienced and growing group responsible for delivering robust real-world vehicle motion across our product platforms. You will guide a team working across controls, trajectory generation, and the interface with the Wayve AI Driver. The role combines technical leadership, team development, and delivery ownership, with the opportunity to shape both near-term product impact and the longer-term evolution of our technology.  This is a high-impact opportunity to lead a critical team at the intersection of control, AI, and real-world vehicle behavior.

Key responsibilities:

• Lead and develop the Motion Controls team, providing strong people leadership, technical direction, and clear priorities for an experienced and growing group of engineers.
• Own the team’s technical roadmap and delivery across short and long term horizons, translating product and system needs into clear priorities, technical plans, and timely execution.
• Own the interface between the Wayve AI Driver, trajectory generation, and control in a deployed autonomy system.
• Provide strong technical judgment across control, trajectory generation, and adjacent ML-informed system design, holding a high bar for engineering quality, technical rigor, deployed system performance, and motion quality.
• Work with key partners to align technical plans, product needs, and integration constraints in the delivery of robust deployed motion behavior.
• Shape the future direction and growth of the team to address emerging challenges at the intersection of control, AI, and real-world vehicle behavior.

About you  

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

Essential 

• Experience managing or leading engineers including setting priorities, driving execution, and supporting their growth and performance.
• Experience leading technical direction for complex autonomy, robotics, or other physical AI systems, ideally in autonomous vehicles or a closely related domain.
• Experience building, shipping, and maintaining production systems, including translating product and system requirements into technical plans and execution.
• Expertise in controls, trajectory generation, motion planning, or closely related autonomy problems, including strong understanding of physical system dynamics, closed-loop behavior, and controller design tradeoffs.
• Experience working on production systems that incorporate machine learning models, ideally in domains such as prediction, trajectory generation, planning, or control.
• Experience working across system boundaries, with the ability to consider factors across software, platform, and physical boundaries.
• Strong software engineering fundamentals, with experience delivering high-quality production code and setting a high technical bar for others.

Desirable 

• Experience managing engineers and growing teams.
• Experience with classical search- or optimization-based motion planning, optimal control, MPC, or related motion-generation methods.
• Experience working in production release environments, ideally involving real hardware or multiple platforms
• Experience with automotive-grade software development processes or safety-related standards such as ISO26262 or SOTIF.
• Experience with Python and C++ in production autonomy or robotics systems.

This is a full-time role based in our office in Sunnyvale or London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

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.

About the role

We are looking for a Technical Programme Manager (m/f/d) who thrives at the intersection of engineering rigour, operational complexity, and process governance. You will be responsible in designing and building the programme infrastructure, across engineering teams and operational stakeholders alike.

You will connect geographically distributed teams in the UK, Germany, and Ukraine, ensuring field reality reaches the central product organisation in Germany in a form that enables prioritisation, and that commitments back to the field are realistic, visible, and delivered. You bring clarity where there is ambiguity, structure where there is noise, and accountability where there are gaps.

To Join Our Team, You Should Be Excited To

• Design and implement programme processes from scratch, for engineering teams, product stakeholders, and mission operations
• Establish and enforce a Jira-based operating model across engineering and programme activities, including ticket standards, workflow structures, and the definition of "done" at every level
• Own and police deliverable gates, define readiness criteria for milestones, releases, and exercise deployments, and hold the line; nothing passes without verified evidence of completion
• Challenge and return incomplete engineering artefacts , tickets, test notes, handover documentation that do not meet the required standard
• Build a repeatable process for planning, tracking, and closing out exercises and demonstrations, from pre-event readiness gates through on-site execution to post-event feedback capture
• Structure and manage feedback loops from multi-customer field exercises into prioritised, traceable product inputs for the central product team in Germany
• Distinguish clearly between integration-level changes that can be handled locally and product-level changes requiring central prioritisation, and govern that boundary rigorously
• Own integrated master schedules, dependencies, and critical path across hardware, software, and integration workstreams; resolve blockers and course-correct fast
• Translate operational needs, field feedback, and engineering detail into structured, testable requirements with unambiguous acceptance criteria and full traceability
• Manage a living risk register and run programme ceremonies, risk reviews, change control, and executive readouts with clear action-oriented communication

Your Profile

• Proven experience leading complex, technical programmes in defence, robotics, autonomy, automotive, or an adjacent regulated domain
• Ability to build programme or engineering processes from scratch, not just operating within existing frameworks
• Track record of fielding systems in mission-critical environments with mastery of schedule, scope, and execution under pressure
• Known for turning ambiguous, noisy, real-world inputs into clear, actionable, decision-ready outputs
• Comfortable being the person who says "this isn't ready" and can defend that position with evidence, you hold the line without losing the room
• Experienced in getting engineers to produce better, more detailed work through standards that make sense and consequences that are real
• Experience with operational or field-facing stakeholders or equivalent on live event planning and readiness management
• Strong working knowledge of Jira or equivalent as a programme and engineering management tool, you can design workflows, not just use them
• Bachelor's or Master's degree in Engineering, Computer Science, or related field desirable, a technical background is desirable but the curiosity and the ability to know which questions to ask and when whilst engaging with senior engineers is essential
• Willingness to travel within EU, especially Germany
• Excellent English is a must; German is a plus
• Eligibility to work in the UK is required

Benefits & 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 recognise that members of the Armed Forces community may have unique career paths and may face particular challenges due to service life. We welcome applications from members of our Armed Forces Community and will take relevant circumstances into account during our recruitment process. 

Any information you provide will be treated in confidence and used only to help us understand any context we should consider, such as career gaps or frequent relocations, all with the aim of ensuring members of the Armed Forces community are not unfairly disadvantaged. 

About the role

We are seeking a Systems Owner to lead end-to-end system definition and architectural integrity across advanced defence capabilities in the era of land of autonomy warfare. This is an accountable systems ownership role with full lifecycle responsibility across robotics systems.You will translate business development strategy, operational intent, and product roadmaps into coherent, traceable, and technically robust system baselines. You will ensure the complete V-Model is structurally followed, from stakeholder need and system architecture definition through integration, verification, validation, and operational feedback.This role operates at the intersection of product strategy, engineering delivery (HW and SW), and operational capability.

To join our team, you should be excited to

• Translate operational capability ambitions into rigorous system architectures with KPIs and targets definition
• Architect resilient, networked defence systems within Operational Design Domains
• Work across ISR, Recce-Strike, counter-UAS, autonomy, and distributed battlefield systems
• Ensure the systems layer of the V-cycle is complete, coherent, and defensible
• Define and manage interfaces across sensors, decisions, effectors and network elements.
• Resolve architectural tensions across hardware, software, and communications
• Shape system design decisions early to reduce downstream integration risk
• Participate in demos and exercises to incorporate real-world constraints
• Contribute to digital engineering and model-based systems practices
• Establish best-in-class end to end systems ownership in a rapidly evolving defence landscape
• Own system definition across the full lifecycle
• Decompose operational concepts and product intent into structured, verifiable and clear system requirements
• Define and control functional, logical, and physical system architectures
• Maintain bidirectional traceability from stakeholder need to verification evidence
• Govern interfaces, dependencies, and integration risks across subsystems
• Integrate hardware, software, communications, networks, safety, and quality into a coherent system view
• Support field activities and trials to ensure engineering decisions reflect operational reality

Your Profile

• Deep understanding of the V-Model lifecycle and end-to-end systems engineering practice
• Strong capability in stakeholder requirement decomposition, system specification, and formalisation from strategic and operational inputs
• Mastery of requirement quality, traceability, and configuration control
• Hands-on experience with requirements management tools (IBM DOORS, Polarion, Systems Weaver; Jama a plus)
• Experience in systems of systems, mission threads, and use cases
• Proven ownership of functional, logical, and physical system architectures
• Strong understanding of network architectures, communications protocols, data flows, and latency constraints
• Management of subsystem dependencies and integration sequencing across hardware and software domains
• Experience with distributed and autonomy-enabled systems
• Working knowledge of functional safety, cyber security, warfare tenders, and battlefields management systems integration
• Structured approach to Verification & Validation aligned to requirement baselines
• Systems-level quality and checklist readiness governance
• Structurally rigorous, technically decisive, and analytically strong
• Resilient under programme pressure, confident in constructive challenge
• Strategic systems thinker with architectural discipline, technical depth, and operational awareness
• Willingness to travel (UK and EU primarily) and work in operational or military environments during field trials and customer events
• Excellent English skills are a must; German a plus
• Eligibility to work in the UK is required

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 recognise that members of the Armed Forces community may have unique career paths and may face particular challenges due to service life. We welcome applications from members of our Armed Forces Community and will take relevant circumstances into account during our recruitment process. 

Any information you provide will be treated in confidence and used only to help us understand any context we should consider, such as career gaps or frequent relocations, all with the aim of ensuring members of the Armed Forces community are not unfairly disadvantaged. 

About the role

We’re looking for a motivated Senior Robotics Software Engineer (m/f/d) to join our software team who'll create cutting-edge, unmanned ground vehicles for governmental and civilian applications. In your day-to-day work, you’ll design efficient and scalable software systems to enable seamless communication, collaboration, and performance optimisation across robotic devices.

To join our team, you should be excited to:

• Design and implement robotic software architectures to ensure robust device communication and optimise system performance
• Develop and integrate software solutions for sensors, actuators, and electronic systems in robotics applications
• Define and optimise communication protocols (e.g., CAN, Ethernet, wireless) for secure and reliable data exchange
• Collaborate with cross-functional teams to ensure seamless integration of hardware and software components
• Establish best practices for modular and scalable software development in robotics
• Conduct rigorous testing and validation to ensure the performance, reliability, and security of robotic systems
• Provide technical documentation to support knowledge sharing and streamline development processes
• Mentor and guide team members in adopting architectural principles and best practices

Your Profile

• Over 5 years of hands-on experience in robotics software development
• Proficient in C++ with extensive experience using ROS2 (Robot Operating System)
• Deep understanding of robotic systems architecture, including sensors, actuators, embedded computing platforms, and real-time system constraints
• Well-versed in communication protocols such as CAN, Ethernet, TCP/UDP, and serial interfaces
• Strong background in Linux environments, containerization with Docker, and implementation of modern CI/CD pipelines
• Proven problem-solving and debugging skills, particularly in systems involving hardware-software integration.
• Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Robotics, or a related field
• Willingness to travel (UK and EU primarily) and work in operational or military environments during field trials and customer events
• Fluency in English is required and German is nice to have
• Eligibility to work in the UK is required

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 recognise that members of the Armed Forces community may have unique career paths and may face particular challenges due to service life. We welcome applications from members of our Armed Forces Community and will take relevant circumstances into account during our recruitment process. 

Any information you provide will be treated in confidence and used only to help us understand any context we should consider, such as career gaps or frequent relocations, all with the aim of ensuring members of the Armed Forces community are not unfairly disadvantaged. 

ABOUT THE JOB

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on building the next generation of autonomous capabilities by leveraging existing Anduril platforms like Ghost or Altius, bringing 3rd party platforms into Anduril's Lattice ecosystem, and developing breakthrough systems that will shape the future of the battlefield. We build Software services and Autonomy algorithms that solve some of the hardest problems facing our customers.

As a Full-Stack Engineer on the Maneuver Dominance team, you will architect and deliver systems for fleets of heterogeneous autonomous systems in complex operational environments. This role requires technical versatility across the stack, from backend services and infrastructure to frontend interfaces. Above all, Engineers within Maneuver Dominance are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU'LL DO

• Build robust, high-performance backend services that coordinate fleets of autonomous systems with downstream components in C++ and Rust handling scenario execution, physics modeling, and autonomy
• Design and implement APIs, and data pipelines that power systems for the full mission lifecycle from design and planning to live operation and post-analysis debrief
• Shape the operator experience by contributing frontend components that visualize real-time sensor data and mission state, building interactive map overlays, telemetry dashboards, and mission planning interfaces
• Deploy and maintain services on Kubernetes infrastructure, ensuring reliability and performance
• Own the integration between applications, working with gRPC/protobuf and other platform primitives to create seamless workflows
• Collaborate closely with robotics engineers, autonomy specialists, and operators to translate sophisticated technical capabilities into reliable, performant features
• Identify bottlenecks and optimize specific features across the stack, from database queries and service latency to rendering performance

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science or related field; or equivalent industry experience
• 2+ years of professional industry experience working with both compiled and scripting languages (Go, C++, Rust, Typescript, Python, etc)
• Experience building and deploying distributed systems with containerization and orchestration platforms (K8s)
• Understanding of databases, data modeling, and system architecture
• Familiarity with gRPC/protobuf or similar RPC technologies
• Ability to work across the stack, from infrastructure and backend services to frontend applications
• A bias for action, extreme ownership, and the drive to see projects through from concept to production
• Eligible to obtain and maintain an active UKSV Security Clearance

PREFERRED QUALIFICATIONS

• Experience with CI/CD pipelines, infrastructure-as-code and declarative build systems (Bazel, Nix)
• Experience with VR/AR development (Unity, Unreal) or simulation environments
• Experience in defense, aerospace, robotics, or other real-time C2 systems

About the Team

Anduril’s Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra-long-range, full-ocean-depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra-large" vehicle sizes. Today, Anduril is executing on billion-dollar contracts while simultaneously performing Robot-as-a-Service (RaaS) AUV operations.

We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive-XL, Dive-LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maritime Division and help us build the future of defense capability.

About the Job

Senior Software Engineers independently drive the delivery of a variety of software integrated in to our products. This includes autonomy, simulation, data processing, payload integration, and off-board command and control and decision support. We expect Senior Software Engineers to demonstrate end-to-end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life-cycle.

What You’ll Do

• Empathize with end-users and drive solutions that balance their needs with external constraints, restrictions and requirements in a multi-stakeholder environment
• Own software enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user
• Design and implement scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Contribute to the design and development of existing software services across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Develop software that runs on- and off- robotic platforms, using a variety of technologies
• Contribute to the design, implementation and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring and operation
• Create test and simulation fixtures that operate with both software- and hardware-in-the-loop
• Support vehicle manufacturing and deployment
• Work as a member of a multi-disciplinary engineering team, including as a mentor for Software Engineers from differing backgrounds
• Travel to co-locate with end-users and/or other teams up to 20% of the time

Required Qualifications

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Extensive professional experience working as a Software Engineer with one or more domains and/or technologies of expertise
• Systems and/or application programming skills including algorithms, data structures, concurrency, scaling, testing, infrastructure, software design and system design
• Experience troubleshooting and analyzing remotely deployed software systems
• Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
• Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
• Capacity learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications

• Experience in a senior role for the delivery of a military mission system
• Experience writing backend services or embedded software in C++ and/or Rust
• Experience with the design, implementation and operation of horizontally scaled cloud technologies
• Experience with the design, implementation and support of embedded software, particularly in the field of robotics
• Experience with modeling and simulation
• Experience with development of high assurance safety critical software
• Experience within the product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment.
• Familiarity with Systems Engineering concepts
• Desire to learn and grow in to other roles that require experience as a Senior Software Engineer, such as Staff Software Engineer and/or Software Engineering Manager
• Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

ABOUT THE JOB

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on building the next generation of autonomous capabilities by leveraging existing Anduril platforms like Ghost or Altius, bringing 3rd party platforms into Anduril's Lattice ecosystem, and developing breakthrough systems that will shape the future of the battlefield. We build Software services and Autonomy algorithms that solve some of the hardest problems facing our customers.

As a Frontend Engineer on the Maneuver Dominance team, you will take ownership of multiple web applications that enable operators to design, plan, operate, and debrief missions for fleets of heterogeneous autonomous systems. You will create immersive, high-performance interfaces that transform complex operational data into intuitive, actionable workflows, supporting the full mission lifecycle. Above all, Engineers within Maneuver Dominance are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU'LL DO

• Design and build real-time, map-based command and control interfaces that enable operators to manage fleets of autonomous systems across multiple domains, from mission planning and asset tasking to live operations and post-mission analysis
• Architect efficient frontend systems that handle massive streams of real-time telemetry, sensor data, and vehicle status while maintaining performant rendering of hundreds of assets, sensor coverages, and tactical overlays.
• Create immersive user experiences with intuitive interaction patterns that make complex multi-robot coordination feel intuitive and natural, implementing elegant animations, transitions, and visual feedback that enhance operator understanding and decision-making
• Integrate specialized data sources including electronic charts, 3D terrain, bathymetry, sensor imagery, and video feeds into cohesive, actionable interfaces
• Partner directly with operators to rapidly iterate on features, translating Figma designs and operational concepts into pixel-perfect implementations that operators love to use
• Establish frontend architecture patterns and engineering best practices that enable the team to build consistently excellent, performant interfaces.

REQUIRED QUALIFICATIONS

• 4+ years of professional industry experience working with modern web technologies: TypeScript, React, HTML5, and CSS3
• Deep understanding of web APIs, browser performance optimization, and runtime characteristics
• Proficiency with modern data visualization libraries for mapping (Mapbox, Cesium), charting (visx), and custom canvas/WebGL rendering
• Experience building real-time, data-intensive web applications that remain performant under load
• Strong UX sensibility with an eye for design, interaction patterns, and visual polish
• Experience with modern build, bundlers (Webpack, Vite), and frontend testing frameworks
• Ability to work effectively with backend APIs (REST, gRPC-web, WebSockets)
• Eligible to obtain and maintain an active UKSV Security Clearance

PREFERRED QUALIFICATIONS

• Experience building gaming interfaces, real-time strategy games, or interactive simulations
• Familiarity with geospatial technologies, coordinate systems, and map projections
• Experience working with video streaming, image processing, or sensor data visualization
• Experience with design tools (Figma) and design systems
• Background working with backend technologies (Go, Rust) to inform better API design
• Experience in defense, aerospace, robotics, or other real-time C2 systems

ABOUT THE JOB

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on building the next generation of autonomous capabilities by leveraging existing Anduril platforms like Ghost or Altius, bringing 3rd party platforms into Anduril's Lattice ecosystem, and developing breakthrough systems that will shape the future of the battlefield. We build Software services and Autonomy algorithms that solve some of the hardest problems facing our customers.

As a Mission Software Engineer on the Maneuver Dominance team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Engineers within Maneuver Dominance are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU'LL DO

• Own the feature development and software solutions that are deployed to customers
• Write code to improve products and scale the mission capability to more customers.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Create and analyze metrics that are leveraged for debugging and monitoring.
• Triage issues, root cause failures, and coordinate next-steps.
• Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.
• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.
• Travel up to 20% of time to build, test, and deploy capabilities in the real world

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 2+ years of professional industry experience working with C++ or Rust programming languages.
• Experience building software solutions involving significant amounts of data processing and analysis.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• A bias for action, extreme ownership, and the drive to see projects through from concept to production.
• Eligible to obtain and maintain an active UKSV Security Clearance

PREFERRED QUALIFICATIONS

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems.
• Developing and testing multi-agent autonomous systems and deploying in real-world environments.
• Feature and algorithm development with an understanding of behavior trees.
• Developing software/hardware for flight systems and safety critical functionality.
• Experience with distributed communication networks and message standards.
• Knowledge of military systems and operational tactics.

ABOUT THE TEAM

We are looking our next Technical Program Manager to join our energetic and innovative team that is passionate about expanding autonomous maritime vessel capabilities within a cutting edge environment to advance the state-of-the-possible in subsea robotics.

Anduril’s Maritime team develops, tests, deploys, and sustains the Anduril Maritime Fleet in challenging operational environments worldwide. Working across product, engineering, business development, logistics, and operations, our next Maritime Technical Program Manager must be a technical leader with the expertise to evaluate, qualify, manage, and advocate for an increasing number of sophisticated parallel pursuits. This role is crucial in ensuring that each initiative aligns with the company's strategic direction and receives the appropriate resourcing, balancing innovation with practical execution to drive the business line's success. You will be required to learn new technical concepts and employ them quickly. You will be expected to use your technical knowledge in conjunction with your program management skills to lead cross-functional efforts and deliver the best outcome for Anduril and the customer.

WHAT YOU'LL DO

• Work within a team of multidisciplinary engineers and specialists throughout the life of Autonomous Underwater Vessels (AUV) through integration, test, verification, and demonstration efforts.
• Ensure successful execution of programs in accordance with desired requirements, on schedule, and on budget.
• Technical Ownership: Drive technical outcomes through meticulous understanding of system performance, managing incident response and after-action, using metrics to derive insights into areas for improvement, quantifying the improvements made through investment in those areas, and maintaining a clear understanding of the state of the system that can be communicated to the customer.
• Customer Engagement: Interface with MoD customers and be able to represent the technical aspects of the Maritime portfolio. Serve as the “voice of the customer” for follow-on business capture efforts and activities.
• Test Event Execution: Support the Engineering team in integration, testing, and debug in a high-paced environment. Lead formal testing efforts by generating test plans, identifying resources needed, and supporting mobilization logistics. Lead offshore AUV test events when required (typically multiple-day test events with occasional multiple -week deployments)
• Project Planning: Develop project scope and manage changes through the life of the project. Identify, track, and manage project risks. Generate and maintain project schedules.
• Contract Management: Provide contract management support including statements of work, change orders, financial management, terms and conditions, data rights assertions, etc. Manage deliverables, including routine status updates and final delivery to the customer.
• Autonomous Execution: Autonomously execute on broad and/or ambiguous requirements from external clients. Demonstrate high ownership on all pieces of work. Become a trusted partner to Anduril’s engineers.
• Travel: to support customer meetings and testing approximately 25%-40% of the time.

REQUIRED QUALIFICATIONS

• Bachelor of Science (B.S.) degree in Mechanical, Electrical Engineering, or Software Engineering or related technical engineering field and a passion for hardware development and relationship building
• 7+ years of robotics experience, specifically in technical project management and/or systems engineering, or related project management and/or systems engineering experience in a relevant industry.
• Strong familiarity with system test, integration and troubleshooting
• Experience leading or executing product development of any type of system from TRL 3-8.
• Understanding of government contract structure and reporting.
• Extremely organized and detail oriented.
• Experience developing material and read out for regular - monthly, quarterly program reviews.
• Experience developing and maintaining a schedule with Microsoft project or similar tool.
• Excellent communication skills.

PREFERRED QUALIFICATIONS.

• Experience integrating subsea sensors.
• Experience with government acquisition and reporting processes and government contracts.
• Experience interfacing with MoD customers.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts.

Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.

Qualifications

• Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
• Experience translating methods between areas of application is highly valued.
• LLM experience is valuable, but not necessary.
• Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Who we are

The role

The day-to-day

• Own the mechanical design of parts and full assemblies

• Create design concepts based on comprehensive requirements and analytical assessments

• Produce 3D and 2D documentation, ensuring the proper form, fit, and function of components

• Apply the latest design and drawing standards, with a strong consideration for manufacturing aspects

• Develop robust, scalable, and cost-effective components

• Define and execute validation tests for technical maturation

• Create comprehensive design documentation in accordance with company guidelines and quality standards

You should apply if you

• Have several years of experience in mechatronic design, ideally for underwater robotics or similar demanding applications

• Have a Master's degree in Mechanical Engineering, Mechatronics Engineering, or a related field

• Possess outstanding hands-on experience with 3D/2D CAD and PLM tools (preferably Solidworks/PDM or Siemens NX/Teamcenter)

• Have proven knowledge of ASME/ISO drawing standards, mechanical design standards, and analysis capabilities for mechanical elements

• Have knowledge of the constraints associated with the underwater maritime environment

• Exhibit excellent written and verbal communication skills in English

• Are eager to drive fast-track developments and realise innovative solutions

• Enjoy working in a fun, highly flexible environment

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

• Have experience with ROV or AUV design and system under external pressure

• Have experience with actuators (brushed and brushless motors, servomotors, magnetic coupling) and sensors used in underwater robotics or more generally in mechatronics

• Have experience with hydraulic systems and their design

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 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 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

We seek a driven and motivated Account Executive with a strong sales background and proven ability to drive growth in OEM and industrial end-user sales across Europe. As FORT’s first sales hire outside the U.S., this role is pivotal in expanding our European presence and accelerating growth.

FORT already has a large and growing customer base in Europe, and this individual will be responsible for both:

1. Expanding existing relationships by increasing sales within our current customer accounts.
   
   
2. Securing new customers by targeting high-potential OEMs, system integrators, and end-users.
   
   

This role will be especially focused on cultivating opportunities with autonomous and semi-autonomous machine builders in defense, warehousing, agriculture, and construction, while also identifying new markets for FORT’s technology.

Importantly, this AE will be responsible for driving the adoption of FORT’s new CE-certified product line, specifically designed to meet European market requirements. This launch represents a major opportunity to expand and accelerate sales across Europe by addressing customer compliance, safety, and operational needs.

Key Responsibilities

• Manage and expand FORT’s existing customer base in Europe, driving deeper adoption of our hardware and software solutions.
  
  
• Lead sales efforts for FORT’s new CE-certified product line, designed to expand our European market presence.
  
  
• Develop and maintain new strategic relationships with OEMs, system integrators, and end-users in robotics and automation.
  
  
• Build and execute high-level sales strategies to meet and exceed annual booking targets while contributing to FORT’s long-term European growth strategy.
  
  
• Partner with marketing to shape and localize campaigns for the European robotics community, highlighting FORT’s unique value proposition.
  
  
• Identify and secure new business opportunities through direct outreach, networking, lead generation, and close collaboration with inside sales and marketing teams.
  
  
• Conduct quarterly and annual account reviews to assess customer satisfaction, expand solution adoption, and align long-term growth plans.
  
  
• Provide detailed monthly reports on sales performance, pipeline health, and progress toward strategic initiatives, in close coordination with U.S. leadership.
  
  
• Represent FORT Robotics at key European tradeshows, conferences, and industry events.
  
  
• Travel requirements: Up to 40–50% across Europe to meet clients, plus periodic travel to FORT headquarters in Philadelphia, U.S., for team alignment and training.
  
  

Qualifications

• Minimum of 5 years of experience in business development or account management, preferably within industrial automation, IoT, robotics, or safety-critical technology sectors.
  
  
• Demonstrated success in both growing existing accounts and winning new customers in OEM or end-user markets.
  
  
• Experience selling integrated hardware and software solutions (or a combination product) strongly preferred.
  
  
• Proven ability to build and scale a territory, delivering against quota in complex technical markets.
  
  
• Strong capability in initiating, developing, and managing high-value client relationships across multiple industries.
  
  
• Proficiency in CRM systems, Microsoft Excel, and sales analytics tools.
  
  
• Residency in Europe (with proximity to major transportation hubs preferred).
  
  
• Exceptional communication skills and ability to negotiate complex deals across diverse customer organizations.
  
  
• Entrepreneurial mindset, self-starter, and ability to work independently while closely collaborating with U.S.-based teams.
  
  

Compensation

This position offers a competitive base salary (commensurate with the European market and experience) plus commission, based on a 50/50 split of base and variable pay. On-target earnings are aligned with FORT’s U.S. compensation model, with additional upside for overperformance.

Your Impact

We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms.

This role goes beyond pure research. You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments.

As a senior technical leader, you will partner closely with research scientists, machine learning engineers, hardware, firmware, and product teams to translate advanced algorithms into robust, production-ready systems that operate reliably at scale.

Why This Role

You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge research and impactful production deployment. This role is ideal for engineers who thrive at the intersection of AI, systems, and product, and want to build scalable, high-impact solutions across cloud and edge.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• EU: Finland, Belgium, UK

Responsibilities

• Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products.
• Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making.
• Develop and deploy models across cloud and edge environments, including resource-constrained devices.
• Architect and optimize full-stack AI pipelines, including:
• Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems.
• Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems.
• Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment.
• Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety.
• Lead technical direction for complex, ambiguous problems and influence system architecture across teams.
• Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy.

Basic Qualifications

• Master’s, or PhD in Computer Science, Electrical Engineering, or related field
• 8+ years (L8) or 10+ years (L9) of industry experience building production systems
• Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Proven experience delivering end-to-end systems from concept to production
• Deep expertise in one or more areas:
• Experience building and scaling distributed systems or cloud-based ML pipelines
• Experience optimizing models for latency, cost, and deployment constraints

Preferred Qualifications

• Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel)
• Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.)
• Experience with real-time systems and streaming data pipelines
• Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
• Experience with AWS or other cloud platforms for large-scale inference and training
• Strong system design and architecture skills across cloud ↔ edge environments
• Track record of technical leadership, mentoring, and driving cross-team initiatives
• Experience in privacy-preserving AI, security, or safety-critical systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our London, England office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

The Robotics Operations team is looking for a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve "Embodied AI."

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way. 

Key responsibilities

• Partner closely with the data collection teams to establish and govern our internal data collection efforts.
• Partner closely with research teams to ensure seamless delivery of new evaluations and data collections.
• Ability to work with partners to advance and deliver cross-functional goals.
• Apply expertise in program management methodologies, tools, and relevant industry knowledge in Robotics to drive program success.
• Monitor and report on operational efficiency and resource utilization metrics.
• Oversee design and implementation of new environments for data collection or robot platform modifications with the Engineering team.
• Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability.
• Implement processes and methodologies to reduce operational costs.
• Facilitate conversations, meetings and opportunities for collaboration to drive the best outcomes; create connections and relationships.

About you

The Technical Program Manager must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind’s research through strategic cross-functional partnerships.

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• Experience partnering with Research/Engineering leads on high impact, goal oriented, projects.
• Bachelor’s degree in an engineering discipline along with equivalent practical experience 5+ years .
• Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
• Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.
• Experience in solving complex challenges, implementing scalable and sustainable solutions.
• Knowledge of, or curious to learn about AI/machine learning research.
• Familiar with hardware and software testing and associated safety protocol.

In addition, the following would be an advantage: 

• Robotics domain knowledge and experience.
• Master’s degree in a relevant field (Robotics/AI).  
• Experience managing operational teams.
• Experience in a technical lab or production environment.

About the role

As a Senior Autonomy Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross-functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology.

At Applied Intuition, you will:

• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms and solutions for defense use cases
• Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development.
• Tightly collaborate with perception and planning engineers on many cross-team initiatives
• Work closely with product managers to understand requirements and translate them into technical solutions
• Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement
• Stay updated with industry trends, emerging technologies, and best practices to enhance product development

We're looking for someone who has:

• Experience developing autonomous vehicle solutions for aerospace and defense
• Experience with the end-to-end development cycle of deep learning models
• Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
• 5+ years of experience building production software using modern software practices
• Fluency in C++, or fluency in Python with intermediate experience in C++
• References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners

Travel requirements:

• General willingness to travel for company business between our offices, as well as to customer sites

Security Requirements:

• Must have ability to hold UK Security Clearance (current or previous preferred)

Nice to have:

• Publications in computer vision, NLP, or robotics.
• Experience with drones and flight computers such as PX4.
• Experience in evaluating and improving system-in-the-loop model performance.

The role 

We're looking for a Technical Operations to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations.

You'll lead critical testing and demonstration programs across our global operations—spanning roadshow campaigns, customer-specific programs, and on-road validation activities—working cross-functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade commercial AV organization that can execute seamlessly with customers and partners.

Key responsibilities:

• Technical and Operations Enablement: Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements.
• Testing and Validation: Lead execution across internal-facing  and external-facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback.
• Cross-Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.
• Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high-quality delivery at scale.
• Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem-solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance.
• Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs.
• Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives.

About you  

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

Essential 

• Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility).
• Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution.
• Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams.
• Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively.
• Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments.
• Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations.
• Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions.
• Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities.

Desirable 

• Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations.
• Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs.
• Experience supporting scaling in global, distributed teams with complex technical dependencies.
• Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements.
• Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems.
• Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks.
• Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols.

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

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

Canonical is a remote-first global company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Business Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective will be to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

 Click HERE to watch our SDR team discuss their role in Canonical

The role entails

• Execute outbound sales & marketing campaigns
• Research information about prospective customers and market trends 
• Generate high-quality leads for Senior Sellers to fuel a multi-million dollar pipeline
• Own and close SMB opportunities within your designated territory
• Collaborate across multiple teams and senior stakeholders to drive results 
• Help define the processes and policies for the team
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities

What we are looking for in you

• Demonstrated success in SDR or outbound sales, with a track record of exceeding annual quotas and consistently driving qualified pipeline growth
• Experience navigating prospective accounts from and into a senior executive level to identify new customer opportunities
• Experience in enterprise software or technology sales
• Exceptional academic track record from both high school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Professional written and spoken English with excellent presentation skills
• Verbal and written communication and negotiation skills 
• Result driven with an over-achiever spirit
• Persistence & perseverance
• Growth mindset - people from our team develop into all departments within the sales organization (Channel, IoT, Enterprise Sales, etc)
• Ability to travel internationally twice a year for company events up to two weeks long

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

Canonical is een internationaal softwarebedrijf. Canonical is de publisher van Ubuntu en open-source bedrijfsoplossingen voor cloud, developers, IoT en AI. Ubuntu is de snelst groeiende Linux-distributie en geldt als het nummer 1 besturingssysteem in de cloud. 

In samenwerking met Google, Amazon, IBM en Microsoft helpt Canonical bedrijven flexibeler en productiever te worden en nieuwe technologieën sneller te adopteren. Voorbeelden van successen van onze klanten zijn AI, Blockchain, IoT, Advanced Robotics en zelfrijdende auto's, waarbij Ubuntu het voorkeurs ontwikkelingsplatform is.

De rol van een Sales Development Representative (SDR) bij Canonical

Canonical is winstgevend en groeit. We beschouwen onze sales organisatie als de beste sales academie op de markt en we zijn op zoek naar uitzonderlijke en ambitieuze kandidaten om ons team te versterken. 

Voor deze rol zoeken we personen die georganiseerd, volhardend, charismatisch en hardwerkend zijn. Ook is interesse in technologische ontwikkelingen en de zakelijke implicaties ervan belangrijk. Je primaire doel is het vinden van klantprojecten die passen bij onze productlijnen en het verspreiden van de goede naam van Canonical over verschillende industrieën en regio's. Ook werk je in deze rol samen met een regionaal sales- en marketingteam. 

 Klik HIER om te zien wat onze SDRs te vertellen hebben over hun rol en het werken bij Canonical.

Hoe de taken binnen de rol eruit zien:

• Het behandelen van inbound klantvragen via e-mail, telefoon en chat
• Het opzetten en uitvoeren van outbound sales- en marketingcampagnes
• Reizen naar evenementen en conferenties over de hele wereld: presenteer op stands en werk aan face-to-face marketing- en salesmogelijkheden
• Het samenwerken met meerdere teams en senior stakeholders 
• Het onderzoek doen naar potentiële klanten
• Rechtstreeks samenwerken aan campagnes met het marketing team
• Het genereren van een sales pipeline van meerdere miljoenen ponden
• Identificeren van prospects en markttrends
• Het helpen bij het definiëren van processen en beleid voor het team
• Contact onderhouden met nieuwe en bestaande klanten, vergaderingen opzetten en bijwonen, en actief accounts in kaart brengen om nieuwe kansen te identificeren
• Nauwkeurig leads voor wereldwijde kansen creëren, bijwerken en onderhouden

Wat wij in jou zoeken

• Uitstekende academische resultaten op school en universiteit
• Passie voor business en techniek
• Leergierigheid en wil om je continu te blijven ontwikkelen - nieuwsgierig, flexibel, wetenschappelijk
• Creatief problemen oplossen en samenwerken met diverse teams
• Mondelinge en schriftelijke communicatieve vaardigheden
• Resultaatgerichtheid
• Volharding en doorzettingsvermogen

Wat wij bieden

Het basissalaris is afhankelijk van verschillende factoren, waaronder geografische locatie, ervaringsniveau, kennis en vaardigheden. Daarnaast komen bepaalde functies ook in aanmerking voor extra secundaire arbeidsvoorwaarden en beloningen, waaronder jaarlijkse bonussen op basis van omzet. Onze beloningsfilosofie is het waarborgen van gelijkheid binnen ons wereldwijde personeelsbestand.

Naast een competitief basissalaris bieden we alle teamleden extra secundaire arbeidsvoorwaarden, die onze waarden en idealen weerspiegelen. Houd er rekening mee dat er afhankelijk van de werklocatie aanvullende secundaire arbeidsvoorwaarden van toepassing kunnen zijn. Onze Talent Partners kunnen je hierover meer vertellen tijdens de sollicitatie rondes.

• Persoonlijk leer- en ontwikkelingsbudget van 2.000USD per jaar
• Jaarlijkse salarisbeoordeling
• Recognition rewards
• Jaarlijks vakantieverlof
• Ouderschapsverlof
• Employee Assistance programma voor medewerkers
• Mogelijkheid om naar nieuwe locaties te reizen om collega’s te ontmoeten tijdens ‘sprints’
• Priority Pass voor reizen en reisupgrades voor bedrijfsevenementen op lange afstand

Canonical is een werkgever die gelijke kansen biedt

We zijn er trots op dat we een werkplek kunnen bieden die vrij is van discriminatie. Diversiteit aan ervaringen, perspectieven en achtergronden zorgen voor een betere werkomgeving en betere producten. Wat je identiteit ook is, wij zullen je sollicitatie eerlijk in overweging nemen.

#LI-op afstand werken”

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS  in the cloud.

In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include  AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.

The role of a Sales Development Representative at Canonical

Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.

Click HERE  to watch our SDR team discuss their role in Canonical

What your day will look like

• Handle inbound customer inquiries across email, phone and chat
• Execute outbound sales & marketing campaigns
• Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
• Collaborate across multiple teams and senior stakeholders to drive results 
• Work directly with marketing on campaigns
• Research information about prospective customers
• Generate a multi-million pound pipeline
• Identify prospects and market trends
• Help define the processes and policies for the team
• Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
• Accurately create, update, maintain and nurture leads on global opportunities

What we are looking for in you

• Excellent academic results at school and university
• Passion for business and technology
• Commitment to continuous learning and improvement - curious, flexible, scientific
• Creative problem solving and cross team collaboration
• Verbal and written communication skills
• Result driven with an over-achiever spirit
• Persistence & perseverance

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Personal learning and development budget of 2,000USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

The role 

We're looking for a Robotaxi Technical Operations to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations.

You'll lead critical testing and demonstration programs across our global operations—spanning roadshow campaigns, customer-specific programs, and on-road validation activities—working cross-functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade commercial AV organisation that can execute seamlessly with customers and partners.

Key responsibilities:

• Technical and Operations Enablement: Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements.
• Testing and Validation: Execute across internal-facing  and external-facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback.
• Cross-Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.
• Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high-quality delivery at scale.
• Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem-solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance.
• Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs.
• Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives.

About you  

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

Essential 

• Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility).
• Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution.
• Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams.
• Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively.
• Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments.
• Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations.
• Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions.
• Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities.

Desirable 

• Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations.
• Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs.
• Experience supporting scaling in global, distributed teams with complex technical dependencies.
• Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements.
• Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems.
• Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks.
• Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols.

Desirable 

• This is a full-time role based in our offices in London. 

Research Scientist (Machine Learning), Lausanne

Your impact 

As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it. 

Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

Depending on your experience:

You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs

You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it.

What you will do

• Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery.
• Identify and create novel ML techniques and the required data to train.
• Develop the architectures and training algorithms of machine learning models.
• Analyse and tune experimental results to inform future experimental directions.
• Implement and scale training and inference engineering frameworks.
• Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.
• Iterate collaboratively with scientists and domain experts, sharing your own domain experience.
• Suggest and engage in team collaborations to meet ambitious research goals.
  
  Depending on your experience:
• Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise.
• Provide developmental support to other ML research scientists.
• Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems.Cultivate a diverse and inclusive research culture.

Skills and qualifications 

Essential

• PhD or equivalent practical experience in a technical field.
• A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.
• Strong knowledge of linear algebra, calculus and statistics.
• Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
• A passion for applying ML research to real world problems.
• Depending on your experience: project supervision, leadership, or management.

Nice to have

• PhD in machine learning or computer science.
• Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases.
• Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics).
• Experience working with biological or chemical data and biological or chemistry software.
• Experience working with real-world datasets.
• Experience with ML on accelerators.
• Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL.

Research Scientist (Machine Learning), London

Your impact 

As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it. 

Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

Depending on your experience:

You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs

You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it.

What you will do

• Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery.
• Identify and create novel ML techniques and the required data to train.
• Develop the architectures and training algorithms of machine learning models.
• Analyse and tune experimental results to inform future experimental directions.
• Implement and scale training and inference engineering frameworks.
• Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.
• Iterate collaboratively with scientists and domain experts, sharing your own domain experience.
• Suggest and engage in team collaborations to meet ambitious research goals.
  
  Depending on your experience:
• Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise.
• Provide developmental support to other ML research scientists.
• Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems.Cultivate a diverse and inclusive research culture.

Skills and qualifications 

Essential

• PhD or equivalent practical experience in a technical field.
• A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.
• Strong knowledge of linear algebra, calculus and statistics.
• Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
• A passion for applying ML research to real world problems.
• Depending on your experience: project supervision, leadership, or management.

Nice to have

• PhD in machine learning or computer science.
• Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases.
• Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics).
• Experience working with biological or chemical data and biological or chemistry software.
• Experience working with real-world datasets.
• Experience with ML on accelerators.
• Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL.

Research Scientist - Applied Large Language Models 

Your impact 

As a Research Scientist focused on the application of Large Language Models (LLMs), you will play an exciting role in bringing cutting edge technologies to bear across our research areas to transform the drug discovery world as we know it. 

Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading research scientists and engineers to conceive, design, and develop cutting edge LLM applications that help to unlock new modelling capabilities and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep understanding and experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

Depending on your experience:

You will both partner with teams across our existing research areas and create and lead standalone projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems through the application of LLMs - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs.

You will be instrumental in leading machine learning based research projects, building the models, and algorithms that will power our platform to drive us close to achieving our ambitious mission to one day solve all disease with the help of AI.

What you will do

• Contribute to core research in machine learning by pushing the boundaries of Large Language Models in their application to the world of drug discovery
• Develop and refine LLM-driven approaches for multiple use cases across our research areas, using your extensive knowledge of the field to modify and apply models and explore their capabilities when applied to complex biological and medical challenges.
• Identify and create novel ML techniques and the required data to train and apply models
• Analyse and tune experimental results to inform future experimental directions.
• Implement and scale training and inference engineering frameworks
• Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines
• Iterate collaboratively with scientists and domain experts, sharing your own domain experience
• Suggest and engage in team collaborations to meet ambitious research goals
  
  Depending on your experience:
• Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise.
• Provide developmental support to other ML research scientists.
• Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems. Cultivate a diverse and inclusive research culture.

Skills and qualifications 

Essential

• PhD or equivalent practical experience in a technical field
• Highly specialized LLM builder with a passion for, and strong experience in, applying LLMs to novel problem spaces
• Deep understanding and experience of model architectures, training methods, and techniques for application of LLMs, including deployment for bespoke use cases and applications, established experience in post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, as well as reinforcement learning and fine-tuning 
• Strong knowledge of linear algebra, calculus and statistics.
• Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
• Depending on your experience: project supervision, leadership, or management.
• Strong knowledge of LLM landscape today, and likely developments for the near future
• Experience working with real-world datasets.

Nice to have

• PhD in machine learning or computer science.
• Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases.
• A strong background in biology or medicine, enabling you to bridge the gap between advanced AI capabilities and complex scientific problems in drug discovery
• Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics), and with real world biological or chemical datasets and biological or chemistry software
• Experience in computational chemistry, bioinformatics, or related fields would be highly beneficial, along with a track record of applying AI to real-world scientific challenges
• Experience with multi-parameter optimization
• Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL

The role 

As an SRE in Vehicle Software, you will keep Wayve’s autonomous driving fleet reliable, observable, and safe while it operates on public roads. You will work at the boundary of software, hardware, and operations, turning real-world incidents and performance bottlenecks into lasting engineering improvements. This role offers a direct line of sight from what you build to safer deployments, faster iteration, and greater fleet scale. 

Key responsibilities

• Own and improve the reliability, availability, and performance of vehicle software systems used across the dev fleet.
• Take part in a team on-call rotation, providing out-of-hours support for live systems when required.
• Build and operate monitoring, logging, alerting, and on-call tooling that enables fast detection, diagnosis, and recovery.
• Drive incident response and post-incident learning, translating root causes into durable fixes and preventative controls.
• Design and deliver automation for fleet operations, deployments, and repetitive workflows to reduce manual intervention.
• Partner closely with Vehicle SW, operations, and platform teams to define SLOs, reliability metrics, and release readiness.
• Continuously harden the production environment through capacity planning, change management, and reliability-focused reviews.

About you  

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

Essential skills

• Proven experience in an SRE, production reliability, or platform operations role for complex distributed systems.
• Strong Linux fundamentals and hands-on experience with CI/CD, containers (Docker), and orchestration (Kubernetes).
• Proficiency in at least one systems or scripting language (Python, C++, or Rust) with a bias for automation.
• Deep troubleshooting skills across networking, distributed systems, and databases, including performance and availability issues.
• Experience designing observability stacks and using tools such as Datadog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.
• Clear communication skills, including incident leadership, writing postmortems, and influencing engineering priorities.

Desirable skills

• Cloud platform experience (AWS, GCP, or Azure), including infrastructure-as-code and secure production operations.
• Experience with real-time or safety-critical systems, hardware-in-the-loop, or embedded/robotics environments.
• Familiarity with fleet operations, telemetry pipelines, and operating software on edge devices at scale.
• Experience defining and running SLOs/SLIs and reliability programs across multiple teams.

This is a full-time role based in our office in London (Hybrid 3 days a week min).  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

The role 

At Wayve, you will help deliver the value of our breakthrough autonomous driving technology by ensuring our software systems are released reliably, on time, and with the stability needed to support fleet operations and product development. This means balancing fast-paced innovation with clarity, structure, and disciplined release practices.

We’re looking for someone pragmatic, methodical, and system-minded — someone who understands how releases fit into the broader engineering and product ecosystem, and who introduces processes and systems where they are needed to achieve stability, clarity, and business goals.

Key responsibilities:

• Release Planning & Coordination: Own release cycles, maintaining a steady and predictable shipment rhythm while adapting to business priorities.
• Issues & Change Management: Drive decisions on which issues or change requests must be included or deferred, balancing stability and speed.
• Bottleneck Identification & Improvement: Identify constraints in the release process (e.g. quality gaps, branching strategy, tooling) and drive improvements to resolve them. Implement dashboards and KPIs for program visibility, and proactively escalate gaps.
• Process & Systems building: Understand how releases fit into the wider system of engineering, operations, and model development, and build processes and frameworks that support clarity, stability, and business goals.
• Tooling & Automation Influence: Partner with SRE/DevOps to shape CI/CD, testing and release tooling. Defining requirements that improve developer experience and release efficiency.
• Cross-Functional Collaboration: Work closely with engineering, product, and operations teams to ensure successful and stable releases.
• Clarity & Communication: Act as the central point of contact for release status, risks, and timelines, keeping stakeholders informed at the right level of detail.
• Continuous Improvement: Run post-release reviews and drive corrective actions across teams.

About you  

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

Essential

• 5+ years in release management, software engineering, or a related field.
• Strong understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching and versioning.
• Knowledge of configuration management including hardware configurations.
• Experience with CI/CD pipelines and automation tools (eg Github, Buildkite, CLI tools).
• Skilled at managing multi-platform releases.
• Strong problem-solving and decision-making ability in release trade-offs.
• Good communication skills, comfortable working with engineers and presenting to leadership.

Desirable 

• Experience in automotive, robotics, or AI industries.
• Experience managing system or bundle releases, including third-party software.
• Experience with Agile and DevOps methodologies.
• BSc or equivalent in Computer Science, Engineering, or a related technical discipline.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

The role 

At Wayve, you will help deliver the value of our breakthrough autonomous driving technology by ensuring our software systems are released reliably, on time, and with the stability needed to support fleet operations and product development. This means balancing fast-paced innovation with clarity, structure, and disciplined release practices.

We’re looking for someone pragmatic, methodical, and system-minded — someone who understands how releases fit into the broader engineering and product ecosystem, and who introduces processes and systems where they are needed to achieve stability, clarity, and business goals.

Key responsibilities:

• Release Planning & Coordination: Own release cycles, maintaining a steady and predictable shipment rhythm while adapting to business priorities.
• Issues & Change Management: Drive decisions on which issues or change requests must be included or deferred, balancing stability and speed.
• Bottleneck Identification & Improvement: Identify constraints in the release process (e.g. quality gaps, branching strategy, tooling) and drive improvements to resolve them. Implement dashboards and KPIs for program visibility, and proactively escalate gaps.
• Process & Systems building: Understand how releases fit into the wider system of engineering, operations, and model development, and build processes and frameworks that support clarity, stability, and business goals.
• Tooling & Automation Influence: Partner with SRE/DevOps to shape CI/CD, testing and release tooling. Defining requirements that improve developer experience and release efficiency.
• Cross-Functional Collaboration: Work closely with engineering, product, and operations teams to ensure successful and stable releases.
• Clarity & Communication: Act as the central point of contact for release status, risks, and timelines, keeping stakeholders informed at the right level of detail.
• Continuous Improvement: Run post-release reviews and drive corrective actions across teams.

About you  

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

Essential

• 5+ years in release management, software engineering, or a related field.
• Strong understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching and versioning.
• Knowledge of configuration management including hardware configurations.
• Experience with CI/CD pipelines and automation tools (eg Github, Buildkite, CLI tools).
• Skilled at managing multi-platform releases.
• Strong problem-solving and decision-making ability in release trade-offs.
• Good communication skills, comfortable working with engineers and presenting to leadership.

Desirable 

• Experience in automotive, robotics, or AI industries.
• Experience managing system or bundle releases, including third-party software.
• Experience with Agile and DevOps methodologies.
• BSc or equivalent in Computer Science, Engineering, or a related technical discipline.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

The role 

In this role, you will be responsible for driving the definition, development, and delivery of Wayve’s L4 autonomous driving solutions. You will own key product initiatives from concept through deployment, aligning Wayve’s AV2.0-based approach with OEMs, operational partners, and various other stakeholders.

As a Product Manager, you will work cross-functionally with R&D, safety, validation, and commercial teams to shape a scalable, reliable, user-centric AV product strategy. Your role will be essential in translating cutting-edge technical innovation—particularly in embodied AI and end-to-end learning—into market-ready features and capabilities. You will champion our customers and work in the intersection of consumer and deep tech, particularly in human interactions with embodied AI.

Key responsibilities:

• Define and own the product roadmap for Level 4 autonomous driving features, aligning with company strategy, customer needs, and regulatory frameworks.
• Work closely with design, system architects, software developers, validation teams, and safety experts to ensure delivery of safe and delightful customer experiences.
• Take full end-to-end ownership of AV feature development, from concept definition through implementation, validation, and deployment in production.
• Stay current with global AV trends, regulatory developments, and competitors to take the best product decisions.

Support verification & validationAct as the product lead in internal reviews and external engagements.

About you 

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

Essential:

• Proven track record of technical product management experience, shipping products with a consumer mindset in a very technical domain. 
• Strong written and verbal communication skills with demonstrated ability to work in cross-functional teams
• Strong technical background in AI/ML, software engineering, robotics, or a related discipline.
• Comfortable working in fast-paced, iterative environments with evolving priorities.
• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.

Desirable:

• Experience owning end-to-end delivery of AV features, including collaboration with engineering, systems, safety, and validation teams.
• Understanding of human-machine interaction (HMI), UX, or the broader robotaxi product
• Knowledge of generative AI techniques, LLMs, or Software 2.0 methods as applied to autonomous driving or large-scale simulation.
• Analytical, data driven 

This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.