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We have a vacancies for (Senior) Project Managers in our Neuroscience Team in the EMEA region.

Ideally we seek indication experience in the following areas for these roles (please note in your application your experience in any of the following):

Rare Disease: Myasthenia Gravis, Huntington's, ALS, DMD, CIDP, DM1 (myotonic dystrophy) and FSHD - CAR-T experience

Ophthalmology: General ophthalmology, Diabetic Macular Edema & Geographic Atrophy

Sleep, Epilepsy and psychiatry

Basket, Master Protocol or Adaptive Trial experience is an advantage


Discover Impactful Work:
Serves as the Project Lead and primary sponsor contact. Accountable for the overall delivery of the project (quality, time, cost) on behalf of the organization. Establishes and communicates customer expectations to the project team. Leads the cross functional project team to meet or exceed deliverables.

A day in the Life:

Is the primary contact between the sponsor and the organization at the project level.

Ensures escalation pathways adhered to internally and externally (Rules of Engagement - communication pathways).

On projects where the scope requires, ensures clear delineation in responsibilities and communication pathways for secondary project leads (such as lead in a specific region, lead for a specific vendor(s) or subset of delivery).

Ensures financial stewardship at a project level by demonstrating an intimate understanding of the contract, resource alignment to budget, management of Out of Scope activity, drive the Con Mod process/negotiations and team execution to timelines.

Establishes, communicates and manages the sponsor to achieve optimal delivery during the project

Drives Risk Identification and Issue Resolution at project level (RBQM/RESOLVE).

Ensures project team compliance with organization policies, SOPs, ICH- GCP, regulatory and project specific requirements.

If you enjoy solving problems where security, scale, distributed systems, and adversarial thinking collide - this is your kind of challenge.
What Youll Do:
Youll collaborate with backend engineers, infrastructure teams and security and cryptography researchers to ship production-grade highly secure digital signing systems, balancing cryptographic rigor, performance constraints, and distributed reliability in a domain where small mistakes have massive consequences. This includes:
Architecting, designing and implementing distributed backend services responsible for key generation, storage and lifecycle management
Developing high-assurance signing protocols and signing flows (utilizing MPC or external signing devices)
Building easy to use, secure backup and disaster recovery mechanisms for cryptographic material
Hardening systems against adversarial conditions and real-world attack vectors
Optimizing performance-critical components that execute complex operations
Providing visible value to customers by constant product optimisation
Winning new customers with industry leading flexible deployments

we are seeking a highly technical, partner-facing Integration Engineer to join our Network team. In this role, you will be the primary technical driver for onboarding partners to the Network and maintaining quality and product excellence with existing partners.
You arent just following a manual; you are a technical consultant, a troubleshooter, and a bridge builder. You will work closely with R&D, Product, and Business, ensuring that every provider integration is seamless, secure, and scalable.
What Youll Do:
Own the Integration Lifecycle: Lead partners from initial discovery through to production go-live, serving as their dedicated technical Point of Contact.
Act as Tier 1 R&D: Deep-dive into the code to answer complex architectural questions. Youll debug, write code, analyze API logs, and solve technical hurdles.
Bridge the Gap: Translate business needs into technical requirements. Youll help partners understand how to map their existing infrastructure to our protocol.
Collaborate Cross-Functionally: Work hand-in-hand with Product to relay feedback from the field and with Business to ensure the providers commercial goals are met.
Scale the Process: Develop technical documentation, tools, and integration best practices to streamline the onboarding process and making it more intuitive.

Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Required Senior Algorithm Engineer
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Required Embedded SW Developer
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
Develop real-time computational solutions for SoCs and hardware accelerators within edge devices.
Design, develop, and maintain Perception, Navigation and Planning stack software.
Port python algorithms to high quality, safe optimal C code.
Handle memory and runtime sensitive environment.

Required Deep Learning Algorithm Developer - ADAS group
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

We are looking for a Chip Design Verification engineer to join our Verification team! This is your opportunity to have an impact on the design of millions of computers sold worldwide each year by leading brands.
The role includes: - Building complex verification environments - Meeting the challenges presented by state-of-the-art design - Continues professional growth using the most advanced tools and methodologies - Use AI for improved productivity

As a Principal Software Engineer will:
Lead the technical direction and architecture of business-critical initiatives across Microsoft Security.
Drive the design of large-scale, resilient, and secure distributed systems that serve millions of users.
Contribute to business-critical initiatives in Microsoft Security
Will improve the end-to-end lifecycle of services
Analyze complex system behaviour, and apply modern engineering practices to streamline deployments and reduce costs.
Tackle highly ambiguous, complex problems that span multiple domains, and turn them into clear technical plans and execution paths.
Improve the end-to-end service lifecycle, including reliability, scalability, security, operational excellence, and cost efficiency.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
Partner closely with engineering, program managers, and security experts to drive impactful outcomes for Microsoft Security customers.

our company, located in Herzliya, is a fabless semiconductor company developing innovative solutions for the Security, Cloud, and Computing domains. Our products include advanced ICs integrated with Embedded software, shipped in the millions to tier-1 Computing OEMs such as HP, Dell, Google, Microsoft, and others. We are seeking an experienced Board Design Engineer to join our Hardware team. In this role you will be involved with the entire Board development process. Additionally, experience with FPGA design is an advantage. Future relocation to Austin, Texas is an option.
Responsibilities Lead the full board design process, including schematic capture, layout, and simulations. Collaborate with cross-functional teams to define hardware specifications and ensure design quality. Participate in system bring-up, testing, and validation phases. Contribute to design reviews and documentation.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

we are looking for a Software Engineering Team Leader.
Responsibilities:
As an Engineering Manager, you will need to manage, lead and guide a team of software engineers and identify and improve processes, procedures, technical knowledge and expertise of the team.
You will assume ownership of features and deliver value to customers, understand their domain & use cases and provide solutions to their problems
Design, implement and maintain micro-services implemented various technologies and services on AWS and Azure
Deliver high-quality reusable & maintainable features covered by unit tests, components and E2E tests with metrics and monitoring capabilities to enable proper deployment to production
Collaborate with team members and other groups via open discussions, design reviews, code reviews, etc