דרושים » חשמל ואלקטרוניקה » C++ Embedded Software Customer Solutions Engineer

The Product Validation department is looking for a Validation Engineer.
Our department is responsible for delivering high-quality ADAS (Advanced Driver Assistance Systems) products.
We are the first line of support for our customers around the globe, and as our Validation Engineer, you will interact with most of our departments to achieve our goals.
What will your job look like:
Perform system-level validation of embedded systems, covering both hardware and software, with a strong focus on functional testing
Design and maintain test environments, including lab setups, test systems, and configurations.
Write and execute test plans and test cases based on system requirements, including manual and automated tests.
Validate communication protocols and system interfaces, and perform hardware bring-up and integration testing.
Install and support debug systems and sensors on development vehicles and assist automotive customers during integration.

We are looking for Driving Function Customer Technical Engineer for a challenging position in managing the latest advanced driving assistance systems (ADAS) and autonomous vehicle (AV) products for various automotive companies.
What will your job look like:
Serve as subject matter expert and technical engineer for our Driving Functions, ADAS and AV products in front of customers.
Technical work with internal teams to advance customer issue resolution and follow up on issues.
Gather and analyze customer feedback to understand their needs, preferences, and challenges.
Support and follow versions and delivery of new versions to customers. Ensure the core product requirements align with customer needs and requirements.
Work collaboratively with Marketing, Sales, Product, Algorithmic Engineering teams.
Actively help improving development processes across different departments.
Joint work with lead car manufacturers, including joined workshops, test drives and functional tuning (including on site support).
Build and maintain excellent customer relationships.

We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. .

The Role:
The Engineering Support team is dedicated to creating a positive onboarding experience for our customers. We guide them through the entire process - from initial setup to ongoing support. Our team combines technical expertise with business orientation to deliver a seamless and effective experience. This role requires Ability to work full time from Sunday to Thursday during US hours (15:00/16:00–24:00) with some flexibility

Who You Are:

* You’re a people person with a strong sense of empathy for customers.
* You can read situations, understand team dynamics, and take initiative to get things done.
* You’re tech-savvy with a developer’s mindset and business-oriented, ensuring a positive customer experience.
* You have a customer-first mindset, ensuring their needs and experience are always your top priority.


What You’ll Actually Be Doing:

* Support enterprise-level Partners and internal teams with technical onboarding and integration to our systems.
* Provide ongoing technical support, including troubleshooting, investigating error messages, resolving coding issues, and addressing errors related to system updates.
* Collaborate closely with internal departments such as Development, IT, NOC, Implementations, Operations, and Relationship Management.

Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

Next Step:
Hit Apply!

Product Validation department is looking for an Validation Engineer . Our department is responsible for delivering high quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for our customers around the globe and as our Validation Engineer you will be interacting with most of our departments, to achieve our goals.
What will your job look like:
Testing and evaluating the systems performance in both hardware and software aspects.
Writing test plans according to system's requirements, to ensure high quality products.
Executing Manual tests as well as built-in automated test sets.
Installing our debug systems and sensors on development vehicles internally and providing support to automotive customers.

We are looking for a skilled and motivated experienced RT Systems Integration & Release Manager to lead an systems integration team and own the end-to-end integration and release process for real-time embedded products.
This role is responsible for defining integration workflows, managing team execution, and ensuring that system releases are stable, predictable, and aligned with quality and delivery commitments.
The ideal candidate combines deep embedded systems expertise, strong people leadership, and disciplined release and process management.
What will your job look like:
Directly manage and mentor a team of RT systems integration and release engineers.
Define, implement, and continuously improve the RT system integration and release management processes.
Establish standard workflows, best practices, documentation, and quality gates.
Ensure consistent execution of integration activities across projects.
Drive alignment to integration processes across firmware, software, hardware, QA, and system validation teams.
Identify integration risks early and implement mitigation strategies.
Lead system-level integration of real-time hardware and software.
Manage system debugging, and root-cause analysis of complex integration issues.
Oversee validation, verification, and system-level testing activities.
Communicate progress, risks, and mitigation strategies to stakeholders and leadership.

we are looking for a Tier 2 Support Engineer (Linux).
As a Tier 2 Support Engineer, you will be responsible for managing global customer technical issues, overseeing internal escalations, maintaining the knowledge base, providing product feedback, and leading support-related projects. Our office is in Jerusalem and we work onsite.
Responsibilities:
Take ownership of technical issues and provide tier 2 support for major financial clients.
Handle complex troubleshooting, investigations and debugging, particularly in Fluent code.
Implement configuration modifications and thoroughly document troubleshooting and resolution steps.

we are looking for a Support Engineer Associate.
The Engineering Support team is dedicated to creating a positive onboarding experience for our customers. We guide them through the entire process - from initial setup to ongoing support.
Our team combines technical expertise with business orientation to deliver a seamless and effective experience.
This role requires Ability to work full time from Sunday to Thursday during US hours (15:00/16:00-24:00) with some flexibility
What Youll Actually Be Doing:
Support enterprise-level Partners and internal teams with technical onboarding and integration to our systems.
Provide ongoing technical support, including troubleshooting, investigating error messages, resolving coding issues, and addressing errors related to system updates.
Collaborate closely with internal departments such as Development, IT, NOC, Implementations, Operations, and Relationship Management.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

We arelooking for an Embedded Software Engineer for performance verification and profiling.
You will join the Virtual Platforms and Performance Verification team in the EyeQ Platform Group (EPG), working on current and next-generation ADAS/AV systems.
Virtual platforms, performance models, and profiling tools are core components of the EPG infrastructure. These tools are used during the pre-silicon phase for hardware architecture optimization and software development, and in the post-silicon phase for software performance optimization.
What will your job look like:
Performance verification of EyeQ SoC designs
Development of hardware virtual platforms
Running hardware benchmarks and correlating virtual platform results with silicon measurements
Development of tracing and profiling tools for CPU performance analysis and optimization
Close collaboration with hardware architects and software, OS, and algorithm teams.