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DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business. Key Responsibilities:
* Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
* Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, and Azure services.
* Troubleshoot and optimize queries and jobs for performance improvements.
* Implement best practices for data governance, security, and monitoring.
* Stay updated with industry trends and emerging technologies in data engineering. If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!

In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.

What you'll be doing:

Lead the end-to-end execution, tracking, and convergence of chip-level CDC and RDC for complex SoCs across all IPs and partitions.

Plan and orchestrate CDC/RDC signoff: define methodology, scopes, run plans, constraints, and acceptance criteria.

Run and maintain CDC/RDC flows and rule decks, including multi-mode, multi-clock, and hierarchical signoff.

Triage violations efficiently: root-cause to RTL, constraints, tool setup, or IP models; prioritize and drive fixes to closure with owners.

Verify reset architecture and RDC robustness (reset domain intent, release sequencing, glitch detection, fanout).

Author and review CDC/RDC constraints, waivers, and justifications; ensure auditability and signoff quality.

Automate runs, report parsing, dashboards, and KPIs for closure tracking using scripting and data tooling.

Partner with RTL, DV, DFT, STA, PD, and Architecture to align fixes, manage ECOs, and protect CDC/RDC quality during late design changes.

Define and enforce signoff gates; communicate progress and risks with clear metrics and issue tracking.

Continually improve methodology and training to prevent recurring CDC/RDC issues and accelerate convergence.

We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.

What you will be doing:

Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements.

Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.

Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.