דרושים » תוכנה » Senior Research Engineer - Computer Vision

Senior software engineer Computer Vision We are seeking a highly motivated and experienced Senior software engineer to lead the development of an advanced Vision software stack for cutting-edge unmanned aerial systems.
In this role, you will own the design, integration, and optimization of key capabilities such as Visual-Inertial Odometry, Tracking, ATR, Motion Detection, image preprocessing and stabilization, as well as data -link and video-streaming solutions. You will work closely with Infrastructure, Mission Control, Systems Engineering, Flight Operations, and Product teams to deliver high-performance, reliable, Real-Time autonomy software for operational environments.
Responsibilities:
Contribute to the architecture, design, and implementation of Vision software modules. Lead the development of complex features from concept to production. Collaborate with mission control, systems, infra, and flight teams to ensure robust system integration.
Translate cutting-edge research and PoCs into production-grade solutions. Mentor and support junior engineers.
Ensure high performance, robustness, and Real-Time operation under constrained conditions.

we are looking for an Algorithm Developer to join AI research team on a mission to solve one of Retails biggest problems. This is your chance to join an elite team, working on cutting edge technologies and solving real-world problems. Your mission will be to develop novel algorithms and modeling techniques alongside a team of other top-talent engineers and researches. The ideal candidate will be independent and highly motivated. He or she is expected to be a self-learner that continuously seeks to push the envelope, following new and emerging trends in technology while working in a complex setting.

our mission is to enable brands and retailers to harness the power of digital technologies to produce the best shopping experiences imaginable. our retail platform allows customers to understand what is happening on shelf, in every store, all the time so they can focus on what they do best delighting shoppers. Many of the worlds top CPG companies and retailers use our dynamic merchandising, in-store execution, shopper engagement, market measurement, analytics, and shelf monitoring solutions at scale to drive positive shopper experiences and unlock revenue opportunities at all points of sale. As pioneers in computer vision, we continue to lead the industry in innovation and excellence through development of advanced technologies and autonomous data collection methods. we are a global company with hubs in the United States, Singapore and Israel, serving customers in more than 90 countries worldwide.
Responsibilities

Develop state-of-the-art AI systems
Develop highly scalable solutions capable of processing a very large amount of data
Own services end-to-end including design, code, test, documentation. Taking ownership of their productization process. Integrate and deploy these within the Trax environment
Contribute to the solution as a whole, through working together collaboratively. We all review pull requests, mentor each other, and give technical talks.

As a senior software engineer, youll be part of the core team responsible for hardware, software/hardware interfaces, algorithm integration and optimization in the product, and transfer of developed systems for production and integration.



This role offers an excellent opportunity to gain hands-on experience with electronics and optics equipment, image processing technology, motors, digital sensors, and imaging algorithms.


Your responsibilities will include:

Working closely with our algorithm development teams to optimize and integrate advanced algorithms into our product

Developing Scopios core software modules

Collaborating with multiple R&D teams to define and design new systems
technologies

Designing and implementing software from concept requirement to working product

Redesigning existing software for new technologies and to improve performance

We are searching for world-class Scientist Engineers to join our growing software architecture Research team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, Communications, AI and Distributed GPU computing, and working alongside top experts in these fields. With incredible resources in networking and compute, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture, LLM network traffic optimizations and AI collectives. With its unique open culture, We are one of the best industry labs to do Accelerated Computing research.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo or our NIXL.

Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.

Create proof-of-concept to evaluate and drive such new technologies.

Work on impactful projects involving state-of-the-art high-performance computing software and hardware.

Designing and implementing services, runtime systems, and applications over SDK.

Partner and collaborate with other forward-thinking team members and external researchers.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

We are looking for a motivated and experienced Senior Software Engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent.

Key Responsibilities:

Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
Analyze and debug complex issues related to operating system internals (kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
Develop networking capabilities and optimize networking stack interactions within software modules.
Write clean, maintainable, and well-tested C++ code, while mentoring and reviewing peers contributions.
Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
Contribute to CI/CD pipelines and automation workflows to streamline build, test, and deployment processes.
Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.

Were looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.

We are seeking a highly skilled and motivated Team Leader to build and lead a new team dedicated to developing orchestration tools and software solutions for AI datacenters.
The main goal of this team is to design and deliver customer-focused orchestration platforms that simplify the deployment, management, and monitoring of large-scale AI workloads.
This role combines technical leadership with hands-on development, covering the entire AI datacenter ecosystem including switches, hosts, smart NICs, GPUs, ROCm, and RCCL. The team will primarily develop in Python, complemented by modern full-stack technologies for user interfaces and control systems.
Key Responsibilities:
Lead and mentor a team of engineers building orchestration tools that manage complex AI datacenter infrastructures.
Define the teams vision, roadmap, and architecture for orchestration solutions that enhance customer experience and operational efficiency.
Design and implement distributed control and orchestration systems using Python and full-stack frameworks.
Collaborate with networking, compute, and AI acceleration teams to integrate orchestration capabilities across all datacenter components (switches, NICs, GPUs, and software stacks).
Work closely with product, QA, and DevOps teams to identify customer requirements and translate them into scalable, production-grade orchestration platforms.
Ensure software reliability, scalability, and maintainability through strong design principles, testing, and CI/CD practices.
Foster a culture of innovation, technical excellence, and cross-functional collaboration.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.

As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.

Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.

This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.

Responsibilities

Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards