דרושים » אבטחת מידע וסייבר » Senior Low-Level Security Researcher

We are looking for a Windows engineer to join us in developing cutting-edge cybersecurity projects.
Do what you love:
As a Windows engineer, you will be dealing with:
Developing user-mode applications and complex Windows Drivers
Designing and developing components for the company's flagship security product
Low-Level R&D
End to End product development

we are looking for a Senior Vulnerability Researcher.
As a vulnerability researcher, your main focus will be on vulnerability discovery and exploitation of most prominent OS`s in the market, and on various challenging platforms.

PlaxidityX is looking for a brilliant Security Researcher to join our elite team. In this role, you will combine offensive research with product innovation. You will conduct in-depth research and penetration testing on Automotive ECUs , uncovering vulnerabilities at both the hardware and software levels. Additionally, you will act as the 'Red Team' for our vehicle protection systems , simulating sophisticated attacks to ensure our detection capabilities stay ahead of global threats.
?What You’ll Do: ECU & Low-Level Research: Conduct deep-dive security research into Automotive Electronic Control Units (ECUs). Automotive Offensive Research: Analyze automotive protocols and architectures to identify, develop, and implement end-to-end attack vectors. Red Teaming: Serve as the internal adversary for our vehicle protection products. You will execute attacks to validate detection efficacy and provide the offensive 'ground truth' needed to improve our security logic. Collaborate with Data Scientists: Work closely with our Data Science teams to fine-tune AI-based detection features, helping to translate complex exploit behaviors into actionable data features.

Advantages:
Data Science & AI: Experience working with data teams, understanding of feature engineering, or experience fine-tuning AI models based on security domain expertise. OS Internals: High level of expertise in Linux / QNX / Android internals (both user and kernel space). Product Security: Experience building or testing Intrusion Detection/Prevention Systems (IDS/IPS) or EDR/XDR platforms. Automotive Knowledge: Understanding of automotive-specific protocols (CAN, Automotive Ethernet, UDS, etc.) and the ability to implement functional attacks against them.

Required Vulnerability Researcher
Want to make an instant impact?
Be a part of the top cyber research teams in the industry and make the world a better place!
As a Vulnerability Researcher, you will be:
Work with top-notch researchers using the latest technologies
Research low-level mechanisms, finding vulnerabilities and circumventing modern mitigation techniques
Our perks:
A competitive compensation package
Hybrid and flexible
Multiple career advancement opportunities
Incredible benefits.

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

We are looking for a talented, tech-savvy individual to join our Cyber Security team and help us tackle the toughest security challenges in cutting-edge ecosystem.
In this role, you will be a subject matter expert and play a major part in our efforts to build and maintain security infrastructure, design secure architectures, enforce security best practices, and automate security processes.
The Cyber Security team is composed of strong and experienced security engineers, responsible for defining the security strategy and managing all of infrastructure.
Responsibilities:
Define, implement, and maintain security policies, standards, and methodologies; ensure they evolve with new threats and technologies.
Design, deploy, and operate detection, prevention, and response technologies across a scaled, diverse, and complex environment (hybrid infrastructure: public cloud + on-premises).
Build and operate secure infrastructure: hands-on ownership of security configurations and system hardening.
Conduct security assessments, secure-design reviews and architecture assurance reviews to identify and mitigate possible security risks.
Automate security processes: configuration deployments, infrastructure management, detection, response, compliance checks, patching, configuration drift, etc.
Design, develop, and implement secure software development and deployment pipelines, incorporating best practices, automation, and CI/CD methodologies.
Stay ahead of emerging cyber threats and technologies: research, evaluate, pilot, and integrate where relevant.
Participate in creating incident response playbooks, coordinate incidents investigations, root cause analysis, and lessons learned.

We are looking for passionate, highly skilled security researchers who thrive on the challenge of breaking complex attacker kill-chains. Leveraging our companys dominant market position and the worlds most massive telemetry set, you will have a direct, tangible impact on the security of the global economy. We are looking for researchers who want to see their findings transformed into production-ready protection, where the ultimate goal is not just to detect threats, but to prevent and stop them in near real-time.
Our team values diversity and strives to hire individuals with varied experiences and perspectives. We understand that no candidate possesses every desired skill and experience, but together, we form a strong, effective team.
Responsibilities
Investigate real world advanced attacker TTPs to develop high-fidelity protection signals, and robust logic across complex kill-chains.
Design and implement innovative capabilities that autonomously prevent, detect and disrupt sophisticated threats in near real-time.
Infuse deep security expertise into the analysis of massive telemetry sets using big-data query languages, reasoning over data to identify novel malicious patterns, and drive evidence-based research decisions.
Partner with engineering and product teams to share research insights, validate protection concepts, and push ideas forward into production-ready protection at a global scale.
Contribute expert insights to a strategic feedback loop by analyzing real-world attack data and telemetry to refine protection coverage and accuracy.

Our Security team is looking for a highly skilled and security-savvy Application Security Engineer to lead our product and application security efforts. In this role, you will drive security design, ensure secure coding practices, and validate our services and environments against the highest security standards.

You will work closely with our R&D and Product teams to identify, mitigate, and prevent security risks throughout the software development lifecycle (SDLC). As a senior engineer, you will own security initiatives, mentor developers on security best practices, and play a key role in shaping the security posture of our products.

The ideal candidate is highly motivated, eager to learn, and has a security by design mindset. This role provides career growth opportunities, enabling you to deepen your expertise in AppSec, DevSecOps, and cloud security.

What you'll do:
Partner with development and product teams to integrate security best practices into the SDLC.
Lead threat modeling and architecture security reviews to proactively identify and mitigate risks.
Conduct security assessments, including code reviews, vulnerability scans, penetration testing, and secure product design reviews.
Stay up to date with emerging security threats, vulnerabilities, and industry trends, ensuring we remain ahead of evolving risks.
Support and contribute to security incident response activities, including root cause analysis and post-incident improvements.
Automate security processes and integrate security tools within CI/CD pipelines.
Develop and deliver secure coding training to engineering teams.

Required Low-Level Developer
As a Low Level Developer, you will:
Play a central role in advancing the features and infrastructures of one of our security products
Lead features, end to end, from concept and design to production
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows
Find and implement creative solutions to technical challenges.

We are looking for a Software Engineer specializing in Deep Learning to join research department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within research organization. You will work closely with researchers and engineers across the company, training deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.