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as a quality and reliability (q&r) engineer, you will lead the qualification and long-term reliability of advanced system -on-chip ( SOC ) and RF semiconductor products for automotive applications. youll work across digital and RF domains to ensure robust performance and compliance with industry standards.
what will your job look like:
define and manage quality and reliability specifications, simulations, and qualification plans for SOC and RF die and package.
plan and execute automotive-grade qualifications per standards such as aec-q100, jedec jesd22, and iatf 16949.
design and implement die-level and package-level stress tests.
select and prepare electrical, environmental, and mechanical TEST platforms for reliability testing.
define requirements for pre-si q&r (e.g. esd, lu, em, ir drop), design-for- TEST (dft), electrical characterization, and post-si q&r testing of digital, mixed-signal and RF socs.
collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (osats).
lead failure analysis, reliability modeling, and corrective action processes (e.g., 8d, fmea, fmeda).
document and certify automotive standards compliance, including ppap/apqp deliverables.

as a quality and reliability (q&r) engineer, you will lead the qualification and long-term reliability of advanced system -on-chip ( SOC ) and RF semiconductor products for automotive applications. youll work across digital and RF domains to ensure robust performance and compliance with industry standards. what will your job look like:
define and manage quality and reliability specifications, simulations, and qualification plans for SOC and RF die and package.
plan and execute automotive-grade qualifications per standards such as aec-q100, jedec jesd22, and iatf 16949.
design and implement die-level and package-level stress tests.
select and prepare electrical, environmental, and mechanical TEST platforms for reliability testing.
define requirements for pre-si q&r (e.g. esd, lu, em, ir drop), design-for- TEST (dft), electrical characterization, and post-si q&r testing of digital, mixed-signal and RF socs.
collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (osats).
lead failure analysis, reliability modeling, and corrective action processes (e.g., 8d, fmea, fmeda).
document and certify automotive standards compliance, including ppap/apqp deliverables.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (adas). our cutting-edge solutions, including the eyeq chip, mobileye supervision, mobileye drive, and mobileye chauffeur, leverage computer vision and Machine Learning to enhance vehicle safety and enable self-driving capabilities. integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
in our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of autonomous driving features and advanced driver assistance systems. what will your job look like:
research, design, develop, and implement lidar based algorithms in both Python and C ++ for solving complex problems
evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
collaborate with cross-functional teams to understand requirements and develop solutions
optimize existing algorithms to improve performance and scalability

We are looking for a talented Code Generation and Optimization Expert. We are looking for a self- , independent engineer to join the team that builds the software infrastructure for accelerating the system in large scale compute environments like data centers and HPC using new CPU core technology. Working on the cutting edge and future ready systems. We work in a development culture that is diverse, flexible and challenging. For persons looking to make an impact and influence the future of computing with personal growth options.

The CodeGen team is developing core components in the automated optimization process that adapts our unique hardware architecture to run any HPC & AI applications, with little to no code modifications required. By using iterative rounds of telemetry and optimization, our compiler is able to intelligently adapt our accelerator into a workload-specific ASIC, at runtime.

We are seeking a talented Code Generation and Optimization Expert to join our bleeding-edge CodeGen team in Israel. In this high-visibility, hands-on role, you will play a pivotal part in building NextSilicons next-generation runtime compiler.

Responsibilities:
Design and maintain the distributed and heterogeneous executable that is generated by our compiler stack.
Using the MLIR framework, transform high level compiler outputs into hardware-specific binary images, memory mappings, execution parameters, resource allocation, region grouping, and cross-domain coordination for distributed systems.
Design and maintain the API layer (libRT.a) connecting compiler-generated code with runtime services, ensuring seamless integration across different execution domains.
Collaborate closely with hardware, architecture, verification and other compiler teams to align software with hardware requirements and behavior.

We are seeking a senior communication systems engineer to help develop the next generation of algorithms and standards that power this revolution.

Responsibilities:
Research, analyze, and develop advanced wireless communication technologies and algorithms for Ambient IoT devices, including wireless modulation, coding, and channel estimation.
Draft, present, and contribute technical proposals to standardization bodies such as IEEE, 3GPP, and Bluetooth.
As part of the Technologies team, work on strategic solutions and collaborate with engineering groups including system-on-chip, RF, system, and network to ensure cohesive product development.
Continuously learn and explore new topics as needed to support the evolving solution, including communication layers, modeling, security, and location.

We are looking for a Formal Verification Engineer for our Networking team!

This is an exciting opportunity to join a hardworking Pre-Silicon design and verification team, working on groundbreaking Switch technologies. We deploy state-of-the art formal verification tools and methodologies to prove design correctness. Working in our formal verification team will expose you to a wide range of cutting edge design and technologies. Our Switch team delivers world class Bridge and router solutions for HPC, data-center, network, and storage markets. We micro-architect, verify, and deliver smart and high bandwidth multi port switches. We have the most sophisticated formal tools and methodologies in the industry, which help us achieve A0 design tapeouts. As part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious.

What you'll be doing:

In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.

You will work on ambitious designs along with our Pre-Silicon team and take part in developing the next generation of our core technology.

You will work on developing new formal verification methodologies and tactics.

Your Career We are considering both Senior and Principal level engineers for this role. As a Backend Developer, you will research, design, and implement cloud security products using the most up-to-date and cutting-edge technologies and frameworks, across all cloud providers (AWS, GCP, Azure, etc). You will build and be responsible for high-performance, massively scalable, always-available cloud-based systems. Your Impact Supercharge data security protection by developing solutions helping clients understand what kind of data they have, and across modern cloud infrastructure (e.g., Azure, AWS, GCP). Make significant contributions to feature development by engaging in design, implementation, testing, and deployment processes Ship innovation for microservices and scanner solutions dealing with high scale data and operations Generate ideas and actively participate in brainstorming sessions to foster innovation within the product.

As a Marketing AI & Automation Architect, you will help design and build the systems, workflows, and tools that enable this transformation. You will partner closely with teams across Marketing and Revenue Operations to identify opportunities where AI can unlock scale, accelerate campaign execution, improve insights, and streamline how work gets done. From early campaign ideation to operational execution, you will translate marketing needs into practical AI-powered solutions.

This is a hands-on creator role, which sits at the intersection of marketing strategy, technology, and AI engineering. You will design and build AI-powered workflows, agents, and integrations that connect our marketing tools, data, and processes into a smarter, more scalable system. Your work will help marketers focus more on strategy, creativity, and growth, while AI supports research, execution, and operational scale.

What You'll Own:
Partner with Marketing teams to identify opportunities where AI can accelerate work, improve insights, and scale campaign execution.
Design and build AI-powered marketing workflows including AI automations, agents, and workflows that support key marketing activities such as research, content development, campaign planning, outreach preparation, and performance analysis.
Integrate AI into our Marketing technology ecosystem, connecting AI solutions to core systems including Salesforce, Monday, marketing automation platforms, and data tools using APIs, webhooks, and automation platforms.
Develop scalable, repeatable AI systems and workflows that enable teams to execute campaigns, generate insights, and produce content more efficiently.
Implement monitoring, guardrails, and data quality processes to ensure AI systems are reliable, responsible, and scalable.
Help teams incorporate AI tools and workflows into their daily work and act as a trusted advisor on how to use AI effectively.

As our DevOps Activity Leader, you will join our R&D leadership team to set the technical vision for our infrastructure. Working alongside our Data/ML, Mobile, and Backend leaders, you will play a key role in shaping our company's overall technical strategy.
Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.

Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.
Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.

What you'll be doing
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.

we are software group is looking for an experienced Python infrastructure tech lead to join our software infrastructure team. our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. we build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across. in this role, you will lead the architecture, design, development, and maintenance of high-quality Python -based infrastructure and applications. you will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact core automotive technologies. what will your job look like?
lead technical improvements and proactively enhance system performance, scalability, and Developer productivity.
take ownership of system architecture and technical design, from high-level design to implementation.
collaborate with cross-functional teams to define, design, and ship new features.
develop and maintain Python applications for various projects.
optimize applications for maximum speed.
write clean, efficient, and well-documented code.
troubleshoot and debug issues as they arise.
stay up-to-date with the latest industry trends and best practices.
help shape a structured, collaborative, and improvement-driven engineering culture.

looking for a senior software engineer to join our elite team which is responsible for building one of new saas products.
in this role you will be using aws serverless architecture, aws cdk & Python to design, develop, TEST, secure & deploy services from planning to production. you will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
the team works in full collaboration with security architects, product managers and other development teams.
we are looking forward for energetic and versatile person to join our family and help us achieving our goals.

We are looking for a highly technical CTF Infrastructure Engineer to join our team. This role combines the technical depth of a Cyber Range Engineer with the creative and storytelling aspects of system gamification.
In this role, you will design and implement the infrastructure behind our Capture The Flag (CTF) environments, while also taking part in architecting the CTF scenarios themselves. You will be responsible for building and orchestrating complex, cloud-based lab environments where our security validation takes place.
This is a unique position for an engineer who combines creativity with deep technical problem-solving. You wont just be provisioning servers for uptime; you will develop the logic that spins up realistic, intentionally vulnerable, and dynamic environments in the cloud to simulate real-world attack scenarios. You will utilize our internal infrastructure, automate flows with Python, and perform deep configurations on Windows and Linux systems to set the stage for cyber attacks.
As part of this role, you will also take part in creating unique stories and hands-on experiences for CTF scenarios, working closely with security researchers to translate real-world threats into engaging, reproducible challenges.
Roles and Responsibilities:
End-to-End CTF Ownership: Design and build new Capture The Flag experiences from concept to execution, including scenario design, infrastructure, automation, and validation.
CTF Environments Development: Write code (primarily in Python) to automate the creation and behavior of complex lab environments.
Cloud Architecture: Design, deploy, and manage dynamic network environments on AWS using Terraform.
Deep System Configuration: Configure Windows and Linux internals (Registry, GPO, domain settings) using PowerShell and Bash to support specific attack vectors and research scenarios.
Pipeline Management: Maintain and tweak the logic of our build environments using Jenkins (writing and managing Groovy scripts).
Work closely with Security Researchers to understand new threats and translate them into reproducible, runnable lab environments.

Required senior backend Developer - conjur cloud
company description
about us:
A palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. Our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description
We are looking for a senior software engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of our saas products.
the team designs and develops services that integrate closely with leading cloud vendors like aws, azure, gcp, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
in this role, you will be using advanced aws microservices, with ruby, golang, JAVA and Python through the entire sdlc from planning to production.
the team collaborates with security architects, product managers, and other development teams.
together we produce complex and advanced solutions that meet the highest security standards and nfrs.
we are looking for someone energetic and versatile to join our family and help us achieve our goals.
design and develop new features using container-based architectures
research new technologies and platforms
be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.