דרושים » הנדסה » VP R D AI Computer Vision

Were looking for an inspirational and experienced Director of R&D to lead our Talent Group, focused specifically on our Sellers journey. This is a critical leadership role that combines strategic technological oversight with a commitment to fostering a world-class engineering culture. You will be instrumental in defining and executing the technology roadmap, working closely with the VP of R&D and the Talent business leaders to ensure our sellers experience is powered by cutting-edge technology and a deeply Embedded AI-first approach.
What am I going to do?
Lead and Mentor: Oversee and mentor multiple team leads and their respective engineering teams, driving high performance, accountability, and professional growth across the domain. Set Technological Vision: Define and drive the technology roadmap for the Talent group, ensuring all systems are scalable, reliable, and leveraging the latest advancements in AI and data -driven solutions. Drive AI Innovation: Champion an "AI mindset" across all teams, leading the charge in integrating hands-on AI tools into product development and internal processes. Cultivate Culture: Partner closely with the VP of R&D and senior management to nurture a positive, inclusive, and high-velocity engineering culture built on technical excellence. Strategic Collaboration: Work cross-functionally with Product, Design, and Platform to translate business objectives into impactful technical strategies and deliver tangible value to our sellers.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

In this role, you will lead a team of Machine Learning Scientists and Engineers dedicated to building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on our companys extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
As a technical manager, you should be passionate about GenAI technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML roadmap, and not be afraid to get your hands dirty with code when needed.
You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.
Key Job Responsibilities and Duties:
Leadership in LLM Development- Build, Guide and mentor a team of ML scientists and ML engineers in the development, fine-tuning, and deployment of large language models (LLMs) tailored for the travel domain.
Expertise in the engineering aspects of deploying LLMs at scale with minimal latency. This includes optimizing model performance, scalability, and efficiency to meet the demands of real-time, high-traffic applications.
Define and communicate the technical vision and strategy for LLM-related initiatives, ensuring alignment with company goals and customer needs.
Foster a culture of collaboration, innovation, and excellence within the team.
Prioritize work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times.
Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.
Develop innovative ML models, algorithms, and engineering approaches or identify existing ones, with the potential to impact our business.
Design and execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.
Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment.
Monitor product health, performance and business impact and act accordingly when requirements are not met.
Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.
Solve issues by applying methods and insights gained from a variety of disciplines, navigating a variety of environments.

We are looking for an R&D Group Leader to take ownership of our most critical technology efforts, shape the future of our products, and inspire a growing team to achieve excellence together!

What you'll be doing:

Own end-to-end delivery of core product capabilities, from strategy and design, through implementation, rollout, and ongoing support.
Lead a cross-functional team (10+ engineers, QA, developers, data science) responsible for the companys main IP.
Balance strategic initiatives (scaling platform, building new capabilities) with operational excellence (supporting more than 15K customers).
Partner with Product, Support, and other stakeholders to align technical direction with business priorities.
Drive structured planning processes, setting priorities, defining milestones, and ensuring delivery against commitments.
Champion Agile methodologies (Scrum/Kanban): run effective ceremonies, foster transparency, and ensure continuous improvement through clear KPIs and measurable outcomes.
Establish and maintain engineering best practices (architecture, code quality, testing, CI/CD, observability).
Mentor, develop, and inspire a high-performing engineering team while building a strong culture of accountability and collaboration.

The Senior Hardware Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Role and Responsibilities:
Test Development & Validation
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI)
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

We are looking for a Software Manager for Ethernet Simulation to lead the development, verification of our Ethernet simulation environment. This environment plays a critical role in enabling large-scale system validation and early software development across networking, firmware, and driver domains - without reliance on physical hardware.

In this role, you will manage a team responsible for building scalable, high-performance simulation tools that model our advanced Ethernet and networking architectures. Youll combine deep technical expertise with strong leadership and cross-functional collaboration to drive innovation, accuracy, and reliability in the simulation ecosystem.


What Youll Be Doing:

Lead, mentor, and grow a team of software engineers developing our Ethernet simulation.

Define the technical roadmap for Ethernet simulation architecture, development and verification strategy.

Oversee the implementation and validation of complex Ethernet behaviors, protocols, and performance models in simulation.

Collaborate closely with hardware, firmware, and software teams to ensure simulation accuracy, scalability, and feature alignment with real silicon.

Balance hands-on technical guidance with strategic leadership performing design reviews, defining best practices, and ensuring delivery excellence.

Foster a culture of collaboration, technical curiosity, and continuous improvement within the simulation organization.

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
Your Role: Drive, Build, and Shape:
Build Scalable Solutions: Lead the design and development of robust, scalable systems using a mix of cutting-edge languages, frameworks, and technologies, while maintaining a strong focus on quality and performance.
Customer-Centric Development: Collaborate with customers and stakeholders to understand their needs, ensuring the team delivers high-value solutions aligned with mission.
Cross-Functional Collaboration: Work closely with cross-disciplinary teams, including DevOps, data engineering, and product management, to align on priorities and drive company-wide initiatives.
Foster Growth: Cultivate an environment where team members are empowered to innovate, take ownership, and expand their skill sets.

As the Team Leader, you will manage and mentor a team of software engineers developing advanced networking components and services in Rust and Python. Youll combine hands-on technical leadership with people management, setting technical direction, reviewing code, driving design discussions, and ensuring the teams delivery aligns with our companys architectural and product vision. This is a highly technical leadership role: you will contribute to design and architecture while cultivating best practices in modern systems programming, asynchronous networking, observability, and performance optimization.
Key Responsibilities
Lead, mentor, and grow a team of software engineers specializing in Rust and Python for AI datacenter networking.
Define technical roadmap, design architecture, and own the teams deliverables.
Lead implementation of networking and distributed-systems components.
Collaborate closely with architects, product management, QA, and platform teams to deliver features supporting large-scale AI network deployments.
Perform technical design reviews and deep-dive debugging; ensure code quality, maintainability, and observability.
Encourage a culture of innovation, continuous learning, and technical excellence.
Manage planning, prioritization, and reporting; communicate progress and risks to leadership.
Recruit, onboard, and mentor engineers to expand the teams capabilities.

We are seeking an experienced Software Manager to lead the Cumulus Linux Software Verification Team. In this role, you will play a critical part in advancing Cumulus Linux, a leading networking operating system and a cornerstone of the AI Factory the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. You will work closely with Cumulus Linux design and architecture teams while gaining deep insights into NVIDIAs products and technologies.

What Youll Be Doing:

Manage, mentor, and guide a team of software developers.

Oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.

Drive timely, high-quality feature delivery.

Collaborate with global, cross-functional teams to identify, track, and resolve issues.

Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.

Work with continuous integration systems and regression tools.

Foster a culture of innovation, quality, ownership, and accountability.

Support team members with career development plans and achievable growth goals.

we are a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.
At our company, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.
we are backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.
Responsibilities
The Data engineer is responsible for the definition of the data ecosystem used by the object detection team our company .
Overseeing the companys data pipeline system and processes including organizing, storing, labeling, and analyzing the data received, to ensure timely delivery of high-quality data required for the development projects of the company.
Establish and implement an effective process for data management, and build a strong team of data annotation specialists.
Data team management: group management, monitoring data tasks, monitoring of the work pace and improving processes to ensure efficient processes
Working closely with R&D and product management teams, algorithms, functional testing specialists, and data tagging professionals to ensure successful kickoff and execution of required projects including manpower planning, the correct definition of requirements, training materials preparation, and progress follow-up.
Provide Data for training deep learning networks.
Collect and analyze data for the effectiveness of the projects, using scripts, python queries, and building dashboards
Test new annotation tools and improve existing ones, validate the quality of the annotated data.