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We are looking for an extraordinary FW engineer to drive state of the art technologies for our products.
In this role, you will work with a variety of disciplines and products, developing software and firmware at the WiFi MAC Level.

You'll ensure that every aspect of our products works both on its own and together.
Its our goal to make our products smarter and more efficient than ever before.
Join us, and youll directly impact the functionality of devices people use worldwide.

Description
As a senior WiFi MAC Software Engineer, your contributions will include the following:
Writing design documents. Designing and implementing software and firmware for WiFi and 802.11 MAC Level features at the MAC. Optimise and fine-tune the firmware and MAC Level algorithms.
Involvement in firmware architecture design, and system level requirements from top-level down to block level.
Develop and support OSX development tools and kernel drivers.
This role requires high sense of responsibility and ability to work in team.
The people who work here have reinvented and defined entire industries with our products and services.
The same passion for innovation also applies to our practices - strengthening our commitment to leave the world better than we found it.
You should join us if you want to help deliver the next amazing Apple product!.

The Camera Hardware Engineering group is responsible for all research, design, development, test and qualification of camera hardware for Apple products. The team in Israel is looking for a Design&Validation Student
who will join a team responsible for end-to-end design, production and testing of high quality micro-optic components. The team features a collaborative and hands-on environment that fosters engineering excellence, creativity, and innovation in the interdisciplinary areas of optical design, testing and device fabrication.

Description:

Involved with all phases of execution of high performance micro-optic elements, from prototype to mass-production.

Design and hands-on operation of optical setups in the lab, including understanding expected measurement errors and their causes.

Defining optical testing strategies (for prototypes and mass-produced components).

Interacting with a broad range of teams and subject areas.

Directly contributing to the success of our micro-optics components in numerous Apple products.

We're seeking a passionate and skilled experienced Networking Embedded Firmware Engineer to play a pivotal role in delivering the next generation of our silicon. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation.

In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of our future products by ensuring our silicon meets the highest standards.

We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind our company'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 our company'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.

we are seeking a highly skilled, resilient, and technical Child Safety Researcher to join our team. In this role, you will be on the front lines of investigating complex online child safety violations, handling sensitive content reviews, and developing technical automations to scale our policy and enforcement operations.
This is a high-impact, multi-faceted position that requires blending deep domain expertise in child safety with hands-on scripting and data engineering skills to transform raw queue data into actionable signals and automated review processes.
Key Responsibilities
Investigate & Evaluate Complex Cases: Review, validate, and adjudicate high-risk, graphic, and sensitive child safety content, navigating nuanced contexts involving legal, medical, or parental scenarios.
Extract Signals & Insights: Analyze review queues, large datasets, and user-generated content to identify new adversarial shifts, unknown unknowns, and critical keywords that inform policy updates.
Build Local Automations & Scripts: Design, write, and maintain scripts and local tools to automate review workflows, generate suggestions, and increase overall queue efficiency.
Policy & Enforcement Collaboration: Translate raw investigation findings into structured intelligence reports and actionable recommendations for client policy frameworks and engineering teams.
Quality & Model Support: Partner with product and AI teams to label golden datasets, support ML-based labeling QA, and improve automated detection models.

We are looking for a Principal AI Security Researcher with deep, hands-on expertise in AI red teaming and AI security to lead and scale RLGyms AI security research efforts.
This is not a traditional cybersecurity leadership role. We need someone who has directly worked on breaking, attacking, testing, and securing AI systems, particularly large language models (LLMs), generative AI applications, and agentic AI systems.
The ideal candidate has significant practical experience designing and executing AI red-team programs, developing adversarial attacks, identifying AI-specific vulnerabilities, building automated red-teaming capabilities, and translating findings into effective guardrails and security protections.
What you'll be doing:
Lead and scale multidisciplinary teams focused on AI red teaming, adversarial testing, and AI security research.
Design and execute sophisticated attacks against LLMs, GenAI applications, and agentic AI systems.
Research attack techniques including prompt injection, jailbreaks, indirect prompt injection, tool abuse, agent manipulation, data leakage, model misuse, and adversarial behavior.
Build and evolve AI red-teaming engines and automated adversarial testing systems, including RLGym.
Building and scaling global AI security teams (red teaming, adversarial research, guardrails engineering) while fostering an innovation-driven security culture.
Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems
Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
Partnering with product and engineering to design and deploy enterprise-ready AI guardrails - including policy enforcement layers, monitoring pipelines, and anomaly detection systems - and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

We are seeking a skilled and experienced InfoSec & SecOps Lead to join our company (Formerly ActiveFence) CISO team. The ideal candidate will be responsible for driving the security initiatives.
Responsibilities:
Maintain holistically security corporate architecture and Hardening, including network, systems, applications. Evaluate and implement security remediations to enhance the organization security posture.
Corporate Security: Oversee security measures, including access control, surveillance, and emergency response planning. Manage relationships with external security vendors related to TPRM and IR.
Experience among others on SSPM/SaaS security, IDP, SIEM/SOC, Including conducting threat modeling exercises to identify potential vulnerabilities and risks where required.
Security Operations: Oversee the day-to-day security operations, including monitoring, incident response, Analyze security logs and alerts to identify & respond to security incidents. Conduct regular security assessments and manage the remediations program. Develop and maintain an effective incident response plan.Conduct post-incident reviews to identify lessons learned and improve future response efforts.
Experience with Vulnerability Management: Identify, prioritize vulnerabilities. Monitor and track vulnerability remediation efforts.
Collaborate with other teams within the organization to ensure the overall security posture is maintained. This may include working with IT, Devops, R&D, G&A to implement security policies and technical security procedures. Including all business units, educate employees on security best practices.
AI Governance: Partner with Business Units to create safe-use guardrails for AI. Conduct security reviews for internal AI implementations, ensuring adherence to frameworks like the OWASP Top 10 for LLMs.
Data Driven Metrics: Develop automated dashboards that track real-time security health, focusing on MTTR and reducing manual "toil" for the Security.