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DRS RADA Technologies , a leading defense company developing and manufacturing life-saving radar systems, is seeking a GNC & Simulation Engineer. ?Position Overview We are seeking an analytical and hands-on GNC & Simulation Engineer to pioneer the digital foundation of our interceptor platform. In this role, you will build the "digital twin" of our aerial vehicles from scratch, simulating system-level trade-offs before physical hardware is realized. You will design, implement, and validate flight control, navigation, and terminal guidance algorithms that enable small, high-speed assets to successfully intercept dynamic targets in challenging environments. Key Responsibilities System Trade Studies: Run algorithmic simulations to analyze system-level trade-offs to support systemic architectural decisions. GNC Algorithm Design: Design and implement robust algorithms terminal guidance laws (e.g., Proportional Navigation) for dynamic interceptions. Flight Data Analysis: Post-process and analyze telemetry data from flight tests to validate, calibrate, and continuously improve the predictive accuracy of the simulation models.

We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind Alice's security and safety AI models and the data platform that powers them. You will lead a multidisciplinary team of ML engineers, data scientists, and software engineers who ship real-time inference at scale, automated red-teaming of GenAI systems, and the Databricks/Spark data platform underneath. This is a hands-on people-leadership role: you set technical direction, are accountable for delivery and quality, and you build and grow the team. What your team owns The group is responsible for a large Python + Rust + PySpark monorepo (dozens of production services and shared libraries) spanning three connected domains: 1. Content-moderation inference at scale Real-time, multi-tenant detection across text, image, video, and audio - hate speech, CSAM, nudity, child grooming, extremism, PII, prompt injection, age estimation, and more - served through an in-house ActiveServe framework over NVIDIA Triton and a Rust detection monolith, on latency-sensitive, SLA-bound, customer-facing traffic with per-customer custom models. 2. GenAI safety & red-teaming Automated red-teaming that attacks customers' LLM applications with a research-driven attack taxonomy and measures attack-success rate, alongside the defensive side - LLM-as-judge escalation to cut false positives and the tooling that authors and refines moderation policies - built on a multi-provider LLM foundation (Bedrock, Anthropic, OpenAI, Gemini, xAI Grok) and forming Alice's leading edge into agentic-AI safety. 3. Data platform & MLOps An end-to-end lakehouse and MLOps stack on Databricks - bronze/silver/gold ingestion, PySpark pipelines, and model training, versioning, and promotion through MLflow / Unity Catalog into Triton serving - with the performance-critical hot paths engineered in Rust (PyO3/maturin) for sub-millisecond, high-QPS matching and detection. What you'll do
* Lead and grow the team - mentor ML engineers, data scientists, and software engineers, and own hiring, onboarding, 1:1s, career development, and performance.
* Set direction and deliver - set technical direction and standards, turn company and product goals into a prioritized roadmap, and own the quality, reliability, and delivery of the systems above across parallel workstreams.
* Champion excellence and partnership - stay hands-on to review designs and unblock the team, drive engineering excellence (testing, observability, CI/CD, on-call, cost/latency), keep the team at the state of the art in ML, LLMs, and GenAI safety, and partner with Product, Platform, and GenAI-safety stakeholders. Leadership competencies
* People-first: builds trust, grows engineers, and creates a healthy, inclusive, high-ownership culture.
* Outcome-oriented: drives clarity, sets priorities, and delivers under ambiguity without micromanaging.
* Technical credibility: earns the team's respect through sound judgment on architecture and trade-offs.
* Systems thinker: balances short-term delivery against long-term platform health, cost, and tech debt.



About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative an

We are seeking a BSP Software Design Engineer to join our R&D team in Israel.

The role involves developing and integrating Board Support Packages (BSPs) and low-level drivers for real-time embedded systems operating in mission-critical and rugged environments.

Key Responsibilities

- Design, implement, and maintain BSPs and device drivers for embedded platforms.

- Work closely with hardware, systems, and QA teams to ensure robust hardware-software integration.

- Participate in bring-up activities, debugging, and optimization of embedded platforms.

- Contribute to system architecture discussions and provide technical input on platform design.

The Configuration Control Engineer is responsible for managing configuration control and product build processes within the PLM system. This role involves documenting products throughout their lifecycle, collaborating with R&D, marketing, manufacturing, and subcontractors.

Key Responsibilities:

Oversee configuration control and product release in the PLM system.
Document products throughout their lifecycle, working closely with R&D, marketing, manufacturing, logistics, QA and subcontractors.
NPI- Support products from development through to mass production.
Integrate manufacturability and testability considerations (DFM, DFA, DFT, DFC) during design reviews.
Provide technical support related to PCB topics.
Oversee First Article production and feedback for corrections.
Define manufacturing processes, prepare instructions, assembly drawings, and related documentation (Manufacturing procedures, Fabrication flow, PRR, etc.).
Manage engineering change processes in PLM-ORACLE.
Collaborate with various company departments and interfaces.
Build manufacturing files and support subcontractors (including supporting production line issues).
Optimize production lines and improve engineering processes using new technologies, cost reduction, and time-saving initiatives.
Write procedures and ECR/ECN documents

we are looking to add a Mobile Developer to our team!

We are looking for an experienced developer to join our amazing Professional Services Team.
Be a tech lead, mentor and take part in developing our infrastructure and architecture
Take a major part in creating customer solutions, architecture and development of various
integration services
Work closely with healthcare organizations, implementing and delivering projects that enables
them to use our innovative product
Comfortable in a customer facing role
Design, Develop and integrate quality code for our professional services team

We are looking for a highly skilled and experienced Software Engineering Team Lead to join our R&D department. This team of engineers is responsible for developing Oligos platform for Application Security Posture. As a Team Lead, you will be responsible for leading the team and driving the development of innovative, scalable, and high-quality features in our product.

You will:

Lead a team of software engineers, providing guidance, mentorship, and support to drive high performance.
Oversee the entire product lifecycle including design, architecture, and implementation of technical solutions, ensuring high-quality, secure, and scalable code.
Tackle complex technical challenges, identifying root causes, and delivering timely, effective solutions for customers requests and problems.
Collaborate closely with cross-functional teams.
Engage in hands-on development of features.

As our Sensor Quality Lead, youll own the quality of the Sensor - how we test it, and how we prove it works accurately and efficiently across the environments our customers run it in. There's no existing playbook for this role; you'll be the one writing it, tackling complex testing challenges in the Linux systems realm and building the automation that lets us ship with confidence.

In particular:

Design and build automated test frameworks and specialized harnesses for the Sensor
Build and maintain test environments across Kubernetes, Docker, and VMs, including test applications written in different languages, so a single build is validated everywhere it runs
Build the test infrastructure that measures accuracy, performance, and resource consumption under high scale
Define quality metrics for the Sensor, build the test infrastructure that measures them along with dashboards and visibility measures to surface them
Collaborate with the Sensor teams, Product Managers, research, and other R&D teams to deliver end-to-end quality

As a Senior Low-level Software in our Sensor team, you will design, implement, and optimize cutting-edge software that runs within our clients' environments and monitors their applications accurately and efficiently. Youll have the opportunity to tackle complex technological challenges, research new technologies and build innovative solutions in the Linux system realm. In particular:

Design, Plan and implement efficient and reusable code that drives complex applications
Research innovative solutions that set our Application Security approach apart
Optimize performance and resource consumption in challenging environments
Lead complex projects in close collaboration with Product Managers and other Software Engineers
Interface and collaborate with other R&D teams to deliver end-to-end solutions

Required Senior Platform Architect
Job Description:
The Customer Success Senior Platform Architect is an advisory role, responsible for helping our customers establish a technical foundation in the Platform and design solutions that deliver outcomes. The Senior Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the health of the platform. This is a consultative role focused on guiding us, partner and customer employees on the engagement team to provide a solution on an architecture designed for long-term success.
You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring, and implementation of solutions.
Be an architectural advisor across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions.
Provide a variety of architectural knowledge across multiple workflows.
Develop relationships with CoEI and business leaders at the customer site to understand our role in their digital transformation vision.
Translate goals to outcomes into a customer roadmap.
Translate business information and technical requirements into an architectural blueprint to achieve complex goals.
Engage with the customer's Enterprise Architects to position us as the digital transformation platform standard, integrated with the customer's core applications.
Manage technical governance, and a delivery operating model and governance.
Ensure instance health by working with the engagement team to reduce technical debt and align to our leading practices.
Support the sales effort by scoping and estimating the engagement and change orders.
Be an active contributor of leading practices and expertise related to the platform. 

Required Staff Data Scientist
Job Description
As a Staff Data Scientist, youll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, youll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data.
What you get to do in this role:
Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features.
Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment.
Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling.
Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions.
Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering.
Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to our products.