Engineering Manager jobs in Herzliya

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Machine Learning Engineering Manager, ADAS
Wayve · Herzliya

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our ADAS Team Our ADAS team is bringing Wayve’s end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners. Recent partnership deals mean we’re now delivering ADAS into production programs, and it’s one of Wayve’s top priorities. The team is scaling quickly, and the next 18 months will be focused on getting it right for the first SOP. This is a chance to sit at the heart of the work that drives Wayve’s upcoming business. 🧠 Your day-to-day • Splitting your time roughly 60% management and 40% hands-on, leading a team of around seven ML engineers, made up of new hires and an existing sub-team • Acting as tech lead across multiple workstreams, setting the vision for how problems get solved, in what order, and with which dependencies • Reviewing and approving delivery plans for the tasks you own • Partnering with TPMs on planning and execution, and with Product to help shape priorities • Coaching and developing the ML engineers on your team, supporting their growth as the team scales 🧩 What you’ll be working on: • Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme • Bringing ML models from proof of concept through to production on embedded automotive hardware • Optimising runtime and inference so the right model runs well on constrained hardware, rather than defaulting to the biggest one • Building and scaling a new team during a high-priority growth phase, with plenty of room to shape how it works • Working across system boundaries with software, embedded and product teams to deliver a coherent product 👤 You should apply if: • Expert background in developing ML, specifically computer vision • You are/have been a people manager and enjoy developing engineers • You’ve worked across systems with software developers and product teams, particularly on embedded software • You have hands-on experience with embedded runtime and inference optimisation, and make pragmatic trade-offs on model size and performance • You communicate clearly and thoughtfully with colleagues across sites and cultures • You stay steady and keep your team moving when requirements are unclear or change often 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚗 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻 — Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 📋 The Interview Process: ✏️ Recruiter: please update this section for the specific role before publishing. Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interview (Technical Leadership & System Design; 2 hours) • Deep Dive (On-site visit in Herzilya; 1 hour) • Final interview: mission & values alignment (1 hour) We’ll always explain the format and work around your availability. What’s in it for you (Location dependent): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Engineering Manager
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Software Engineering Team Lead - NAS Group
Infinidat · Herzliya

Description At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you are a passionate and talented developer and have the capability to be among the best, we invite you to join our journey of success as a Software Team Leader in the NAS Group. Responsibilities • Lead a team of 2-8 developers • C++ coding over Linux in a multi-threaded, clustered and performance-oriented server-side environment. • Technical-related aspects of Infinidat’s core component. • Filesystem IO flow performance improvements. • High level & detailed design of new features. • Legacy code maintenance and refactoring. Requirements • At least 5 years of proven experience in C++ over Linux. Experience with Go or Python is also relevant. • Proven experience as development team leader or manager • A strong problem-solver along with the ability to work independently. • A leader striving to build a strong and independent team. • B.Sc. in computer science/computer engineering from a known university. Advantages: • Experience in clustered and performance-oriented development. • Previous knowledge and experience with storage devices and FS protocols (NFS, NAS, SMB, CIFS) • Experience managing teams in SCRUM and Agile methods. About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025, but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Engineering Manager
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Backend & Cloud Infrastructure Team Lead (Node.js / AWS)
CommIT · Herzliya

Description We are looking for Backend & Cloud Infrastructure Team Lead (Node.js / AWS). You'll lead the team that owns the company's AWS cloud infrastructure and the backend microservices running on it. Hands-on leadership: roughly 60% people management, 40% staying close to architecture. You're accountable for how our microservices are designed, deployed, scaled and kept alive in production. What You'll Do: • Lead, mentor and grow a team of backend and infrastructure engineers: 1:1s, goals, performance reviews, career development • Own the architecture of the AWS environment and the microservices platform on it, from design through rollout • Break large initiatives into workstreams, delegate ownership, hold the team to delivery commitments without micromanaging • Run agile ceremonies (sprint planning, retros, grooming) and align roadmap and priorities with product and other engineering leads • Set and enforce engineering standards: code review, testing, observability, incident response, on-call rotation • Drive cost, performance and reliability improvements across the platform • Take part in hiring: interviewing, calibration, onboarding Requirements Must-Have: • 8+ years of industry experience • 5+ years as a people manager / team lead, leading engineering teams through full delivery cycles • 3+ years of production backend development in TypeScript / Node.js (APIs, services, background processing, data flows). Frontend or frontend-leaning full-stack does not count • Proven experience designing and leading AWS solutions at scale for distributed microservices — able to walk through a system you architected end to end and defend the trade-offs • Deep hands-on knowledge of core AWS: ECS/EKS, Lambda, RDS, DynamoDB, SQS/SNS/EventBridge, API Gateway, VPC networking, IAM • Containers and orchestration: Docker, Kubernetes or ECS • Infrastructure as Code (Terraform, CDK or CloudFormation) and CI/CD pipeline ownership • Production ownership: monitoring, alerting, on-call, post-incident reviews • Strong grounding in agile, and the judgment to know when to bend it • Excellent written and spoken English Nice-to-Have: • Kafka / event-driven architecture at scale • Multi-region or multi-account AWS setups • Database performance tuning at scale (Postgres, DynamoDB) • Security and compliance exposure (SOC 2, ISO 27001)

Engineering Manager