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our company provides modular automotive systems that transform mobility by bringing cutting-edge, safe-by-design self-driving technology and a complete, modular solution with flexible business models to the market. As a Senior HW System Architect, your role will be to work closely with our OEM partners and realize a successful integration of the ADAS to self-driving technology in these platforms
What will your job look like?
Lead end-to-end life cycle of the System architecture - from analyzing OEMs (customers) technical requirements to HW architecture definition, development and verification to ensure integration of our company's products into the vehicle platform.
Work in close collaboration with various groups including algo, HW design, verification, SW architect, Mechanics, and simulations.
Provide architectural guidance and tradeoff recommendations throughout the whole design process from concept through production.
Responsible for the main components selection and technical evaluation (trade-off between cost/performance etc.)
Provide practical system architecture definition to board designers and SW/algo by managing system external Interconnects and internal interfaces, SoC, MCU, definitions and optimization (based on OEMs requirements and other constraints).

we are looking for leaders to manage the safety execution of the company's advanced driving assistance systems deals with our automotive customers. The ideal candidate will be comfortable both with a customer-facing position and with the implementation of highly technical ADAS deals. This is a cross-functional position and involves working with both internal teams and customers on State-Of-The-Art Advanced Driving Assistance Systems and AV.
What will your job look like?
Manage Safety activities across the project lifecycle from kick-off stage to mass production
Manage and lead Safety SW and HW requirements
Synthesize and Analyze complex functional behavior to identify potential system failures
Identify and analyze risks through stakeholders
Address escalations in a timely manner with high standards
the position is temporary for approximately 9 months.

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:
We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generative?AI capabilities across our products and internal workflows. You will create scalable APIs, data pipelines, and serverless architectures that integrate large?language?model (LLM) services such as Amazon Bedrock, OpenAI, and open?source models, enabling teams to safely and efficiently leverage generative AI.

Who You Are:

* You have experience building Retrieval?Augmented Generation (RAG) systems or knowledge?base chatbots.
* You're Hands?on with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
* Have AWS certification (Developer, Solutions Architect, or Machine Learning Specialty).
* Experience with observability tooling (Datadog, New Relic) and cost?optimization strategies for AI workloads.
* Background in microservices, domain?driven design, or event?sourcing patterns.

What You’ll Actually Be Doing:

* Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative?AI features such as chat, summarization, and content generation.
* Build and maintain AWS?native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
* Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self?hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval?Augmented Generation (RAG) pipelines.
* Create secure, observable, and cost?efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
* Implement monitoring, tracing, and logging (CloudWatch, X?Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
* Collaborate with ML engineers, product managers, and front?end teams in agile sprints; participate in design reviews and knowledge?sharing sessions.
* Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.


Why You’ll Love Working Here:

* Flexible hybrid model: 3 days a week in the office – A must
* ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact


Next Step:
Hit Apply!