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Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group. In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools. The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.



Advantages:

* Experience working in multidisciplinary environments.
* Hands on experience with Python and Bash development.
* Familiarity with TensorRT framework.
* Familiarity with Git, Jira.
* Familiarity with OpenCV.
* Familiarity with CUDA and NVIDIA platforms.

The Channel team are experienced and driven professionals, who enjoy building relationships, connections and nurturing partnerships to solve the worlds most complex cybersecurity concerns.

Your goals:

Build Strategic Alliances: Utilize your relationship-building skills to establish, expand, and maintain a robust network of profitable relationships and alliances with a variety of distributors, integrators, re-sellers, and consulting houses.
Drive GTM Strategy - Build, execute, and maintain long-term Go-To-Market (GTM) and joint business plans with strategic partners to drive sustained growth
Achieve Revenue Targets: Successfully achieve and exceed partner sales targets and strategic business objectives.
Maximize Coverage & Awareness: Maximize opportunity coverage and brand awareness among the channel community.


Job Responsibilities

Strategic Joint Business Planning: Co-develop, execute, and continuously refine long-term Go-To-Market (GTM) and joint business plans with assigned partners, setting clear revenue targets, joint marketing initiatives, and operational milestones.
Partner Relationship & Account Management: Establish and maintain high-level, productive relationships with executives, sales leaders, and technical teams across assigned strategic partner accounts.
Enablement & Certification Driving: partner enablement to build technical self-sufficiency, ensuring partner sales and pre-sales engineering teams achieve required certifications to support the GTM and business plans
Pipeline Creation & Accurate Forecasting: Maintain end-to-end visibility of the partner deal pipeline, enforcing strict Salesforce (SFDC) hygiene, accurate sales forecasting, and active participation in key sales cycles.
Distributor & 2-Tier Alignment: Coordinate closely with Distribution resources (sales, technical support, marketing) to maximize territory coverage
Channel Governance & Conflict Resolution: Proactively manage territory deal registration, resolve channel rules-of-engagement conflicts transparently, and enforce strict adherence to channel program guidelines.
Cross-Functional Orchestration: Mobilize internal resources-including Systems Engineers (SEs), marketing, professional services, and executive leadership-to support critical partner opportunities.

We are looking for a strong Backend Software Engineer to bridge the gap between our Machine Learning research team and our enterprise production systems. You will act as the technical backbone for our ML Scientists - by advising, designing and implementing the production facing features. If you are a backend expert who wants to solve complex system architecture challenges and dive into the world of ML platforms & Agentic LLM pipelines, this is the role for you - An exciting role collaborating with ML science team, data/infra team and DevOps to drive real customer impact.



As a ML Engineer, you will:



Lead ML delivery: transforming research output (code, models, ideas) into robust, scalable, low-latency microservices in production

Help architect e2e solutions to real customer pains ranging from ingestion, integration, ETLs, DB design up to low-latency services

Design, build, and maintain automated workflows for ML models, including auto-trains, benchmarking, testing, performance gating, and production deployment.

Tackle complex backend challenges: optimizing API response times, managing database connectivity and concurrency at scale, balancing accuracys drive for complex questions with the business needs of fast responsiveness by making hard technical trade-offs between customer gains and business costs.

Design and optimize data pipelines and ETL processes, connecting our Snowflake data warehouse to our training environments.

Work within our existing ML infrastructure (Kubeflow, MLflow, KServe) to ensure smooth model lifecycles and performance monitoring.

Collaborate closely with ML Scientists, guiding them on software engineering best practices without slowing down their research.

Monitor and optimize production models for performance, cost efficiency, availability, and observability.