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We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.

What you will do:

Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.

Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.

Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).

Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.

Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.

Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.

Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

We are looking for an experienced Staff Technical Program Manager. This role involves overseeing the planning, execution, and delivery of technical projects within our organization, while also managing deployments to production environments. The ideal candidate will possess strong project management skills, technical understanding, and the ability to effectively communicate with cross-functional teams.

What you will do:
Project management Lead and manage the end-to-end lifecycle of complex technological projects - understands projects goals and details, proficient in crafting project roadmaps, overseeing scope, backlog, and timelines, monitoring crucial milestones, managing KPIs, and navigating essential dependencies.
Identify and mitigate risks, resolve issues, and make adjustments as necessary.
Establish continuous improvement as part of the culture, processes and tools.
Define and enforce best practices and standards for the production environments operations.
Facilitate and guide R&D teams in the release planning and delivery process, ensuring effective collaboration & execution while defining and implementing best practices and tools.
Ensure cross organizational communication and process coordination, serving as the focal point for project health visibility and strategic status reporting to senior executives
Identify problems by observing and studying system functions and performance results.

We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.

We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.

What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.

Were looking for a talented Autonomous Vehicles Test Driver to join our System Testing team.
Responsibilities
Safely operate test vehicles in a wide range of testing conditions
Collecting data by driving our vehicle and uploading the data into the company's database
Maintain focus on test goals during execution and collaborate with Test engineers and Algo teams to ensure safe, efficient, and accurate testing
Write accurate, detailed, and organized test reports
Coordinate and arrange travel logistical aspects, involving location, resources, and tools to ensure a successful test
Ownership of test equipment maintenance and tracking
Ability to drive safely in daylight, darkness, and different weather and road conditions.

We are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.

Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery

What you'll do​:
Design and build an infrastructure to correlate multiple data sources and matching methods.
Research and develop algorithms for asset discovery , and solve complicated identification issues.
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions.
Work closely with product and other R&D teams.
Help with solving complex customer issues with our solutions and platform.

Required Chip Test Engineer
About The Position
The Chip Test Engineer plays a crucial role in designing, developing, and implementing automated test for IC chips and systems for Automotive industry. The Test Engineer is responsible to define and develop tests, design test features, program test scripts, and analyze test results to ensure the quality and functionality of products. The Test Engineer collaborates with cross-functional teams to troubleshoot issues, improve test processes, and support product development efforts.
Responsibilities
Develop and implement test strategies, plans, and procedures for ATE systems to ensure comprehensive testing of ICs.
Design and develop test features, test programs, and test scripts for automated test environment (ATE) based on product specifications and requirements.
Collaborate with design engineers, product manager, production vendors and manufacturing teams to understand product functionality, performance requirements, and testability considerations.
Conduct feasibility studies and risk assessments to identify potential challenges and develop mitigation strategies for test development and implementation.
Develop test program based on code languages C++ ,Java and Python.
Debug, troubleshoot, and resolve issues with ATE hardware, software, and test scripts to ensure reliable and accurate test results.
Analyze test data and results to identify trends, anomalies, and potential defects, and provide feedback to design and development teams for product improvement.
Develop and maintain documentation for test procedures, specifications, and configurations.
Collaborate with vendors and suppliers to evaluate and select ATE equipment, components, and software tools that meet project requirements and performance standards.
Stay abreast of industry trends, advancements in test technologies, and best practices in automated testing to drive continuous improvement in test processes and methodologies.

Were looking for a curious, driven Recruiter & HR Generalist to be a true partner in our HR team and make a meaningful impact on the organization. This is primarily a recruitment role - youll own technical hiring end to end with a growing HR generalist scope across the employee lifecycle as you build your impact here.
Responsibilities
Recruitment Responsibilities:
Take an active role in all stages of the recruitment process, ensuring a positive, professional experience for all candidates
Collaborate with hiring managers to understand role requirements, provide accurate insights, and support hiring decisions
Demonstrate expertise in sourcing talent and identifying qualified candidates
Conduct in-person and phone interviews, as well as reference checks
Manage and track recruitment activities in Spark-Comeet, ensuring accurate and timely updates
Maintain clear and consistent communication with candidates throughout the hiring process
Assist in maintaining hiring data and providing updates on recruitment reports
HR Operational Responsibilities:
Take an active part in the full employee life cycle at Arbe, ensuring consistency and efficiency across all HR activities - from onboarding, through training, performance cycles, and employee engagement initiatives, to offboarding
Manage HR operations using the HRIS system (Bob) by maintaining accurate employee data, generating reports, and partnering with cross-functional teams
Assist in implementing HR policies and best practices across the organization
Support organizational scalability by identifying opportunities to improve and automate HR processes
Provide day-to-day support for managers and employees on HR-related matters.

Were looking for a talented and driven Integration Team Lead to join our System Engineering group. In this role, youll lead the integration team, working closely with system engineers, V&V, and other R&D functions to bring cutting-edge technologies into reality.
Lead and manage the integration team, including task planning, setting priorities and mentoring team members
Be the technical focal point for integration-related activities
Oversee system testing and manage the handover process from Integration to V&V
Lead system bring up activities
Responsible for troubleshooting efforts and resolving problems in a timely manner
Maintain a broad understanding of the entire system and stay up to date with the latest version
Lead by example, motivate, empower and develop team members to reach their full potential
Establish strong working relationships with System Engineering and V&V teams to ensure high-quality delivery
Collaborate closely with multiple cross-functional teams across the organization.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.

What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

Were looking for a Software Data Platform Tech Lead to join us.
Responsibilities
Lead, mentor, and develop a team of senior software engineers through one-on-ones, feedback, and technical guidance.
Design, develop, and maintain the core backend architecture of our Data platform.
Take ownership of end-to-end development processes, from design to deployment.
Build and deploy scalable APIs, micro-services, and systems that enable seamless Data processing workflows.
Research and integrate advanced technologies to improve system scalability and reliability.
Ensure code quality through testing, code reviews, and best practices.

As we grow rapidly, your role as a Software Engineer will be critical to the companys success. You will build a robust infrastructure integrated with the platform to acquire network insights. You and the team will design, develop, and maintain out-of-the-box modules, algorithms, and extensions while working with highly talented engineers.

What you'll do:
Develop and maintain integrations with various network devices and Network Management Platforms.
Develop and maintain infrastructures that support integrations products, process them, store them, and expose them to the rest of the system.
Integrate with the platform and be a key player in its design and development
Develop extendable libraries and utilities that will speed up our implementations and make sure were building scalable and high-quality solutions.
Work closely with product and other R&D teams.
Help with solving complex customer issues and scale issues with our solutions and platform.

Were looking for a talented Radar System Integration Engineer to join our innovative System Engineering group.
Responsibilities
Integrate multidisciplinary full radar system including HW Platform, ASIC, RFIC, SW, ALGO
Troubleshoot and debug our Radar, ASIC and FPGA platforms
Define, implement and execute acceptance tests plans, procedures, and reports
Define new features and HW requirements for full system optimization
Simulate and analyze mix signals system data
Validate system performance.

Were looking for a talented Radar System Engineer to join our innovative system team. As a member of our team, you'll work on multidisciplinary system design, which combines cutting edge RF, digital, signal processing, software, hardware and chips development.
Responsibilities
Participate in the development and production of radar sensors
Debug our Radar ASIC platforms and processors
Develop subsystem specifications and process flows
Simulate and validate Radar system performance
Solve diverse complex problems and help in the debugging and integration process
Support and manage the product evaluation process involving customers.
Interface with multi-disciplinary product development team in support of design, integration and test of automotive radar systems
define system requirements for various projects.

The Data Science role is the engine behind our industry-leading Exposure Management (EM) platform.
You will be responsible for the AI models that power our CAASM (Cyber Asset Attack Surface Management) capabilities and our advanced Vulnerability Prioritization and Remediation engines.

We are building the intelligence layer that helps organizations implement a Continuous Threat Exposure Management (CTEM) framework. You will build models that normalize fragmented data from hundreds of sources, calculate complex risk scores, and prioritize which exposures actually pose a threat to the business.

We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and our family. A data scientist that understands and loves data, and lots of it.

What you will do...
Solve Applied Product Challenges: Deep-dive into our product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data-such as CVEs, threat intel feeds, and security advisories-to automate the mapping of vulnerabilities to specific business contexts.
Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.