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We are looking for a talented and experienced Logic Design Group Lead to drive and help our group to get to the next era of computer architecture. In this position, you will lead the architecture of our future chips, driving system-level understanding and the overall architectural flow. You will manage managers and technical leads while remaining highly hands-on, taking an active role in architectural decisions and technical execution across the system.

Responsibilities
Be accountable for your group's milestones & timelines.
Leading your Group Architecture and developing their abilities.
Technology expert, building a knowledge base for the group.
Work with various teams to drive execution (SW, Architecture, verification, BE, etc).
Devise execution indicators, monitor and report execution progress to enable prioritization and clear decision-making.
Acquire the system Architecture and be part of the leading technical FE forum.

We are seeking a talented Program Manager to join our team. In this high-visibility, hands-on role, you will drive forward the development of our chip by managing the complete program lifecycle, from architecture to successful tapeout, ensuring deliverables meet scope, schedule, and quality requirements.

Responsibilities
Lead the planning, development and implementation process of cross-functional teams focused on product delivery.
Drive the execution of the hardware roadmap by managing the complete lifecycle from architecture definition to tapeout.
Partnering tightly with Architecture, RTL Design, and Design Verification (DV) leads to identify bottlenecks, track coverage metrics, and mitigate risks before they impact the tapeout schedule.
Define the core operational processes and modes of work for the entire HW group, building and refining the stage-gate reviews required to transition smoothly from architecture into implementation and verification.
Oversee project monitoring, reporting, and risk management, from initiation to delivery, addressing intergroup dependencies to ensure timely and successful completion.
Lead process and methodology improvements, proactively addressing issues to achieve business goals.

we are looking for a Staff Backend Engineer - Moderation.
Why This Role Is Different:
You will work on a backend system where scale, cost, and correctness all matter at the same time.
You will have real architectural ownership, direct customer impact, and the freedom to move fast without heavy process.
Few roles offer this combination inside a mature company.
What You Will Do:
Own the Server Side
Design, build, and evolve the server side of a moderation platform operating at scale, including:
High throughput async pipelines
Large volumes of images and videos
Multi tenant systems
Cost sensitive ML workloads
Agentic moderation workflows and AI-driven decision systems

We are looking for a skilled and motivated Senior Python Backend Engineer to join our Surveillance Engineering team. The ideal candidate will have a deep understanding of software development and technical expertise. This is a hands-on role for someone who wants both depth and ownership: youll design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production. The position requires strong collaboration and communication skills as you will be working alongside engineers, data scientists, and domain experts.

About the Surveillance Group: The Surveillance group at our company builds and operates advanced AI solutions. Our team is composed of engineers, data scientists and subject matter experts who work together to deliver a high-quality, production-ready Surveillance product. We push the boundaries of what is possible and measure ourselves by the impact we deliver to our clients.

Lets get down to business:

What Youll Do:

Design, build and maintain the software infrastructure and solutions that make up our Surveillance pipeline, combining classic machine learning models and GenAI models with complex business logic and analytical components.
Own significant architecture decisions and evaluate and select the technologies we build on.
Solve complex engineering problems end to end, from investigation and design through implementation and rollout.
Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready that are fully integrated and scalable.
Support the product in production: investigate issues, improve observability, and make the system easier to run.
Build and operate services in containerized environments (Docker, Kubernetes) on AWS.
Hold a high engineering bar: meaningful unit tests, solid CI/CD following best practices.
Keep current with developments in software engineering and production ML infrastructure.

We are looking for a Development Engineer to join our team. This is a technical operations development engineer to contribute to production infrastructure, platforms, and/or service improvements.

Description:
Follows general guidance to maintain production infrastructure, platforms and services. Works with other teams in the organization and participates in the design review of new, scalable solutions for fast changing environments with limited supervision. Supports the execution of deep drill down analysis into production support operations and implements necessary fixes. Investigates errors and triages issues to determine resolution. Builds and implements small to standard enhancements to resolve defects. Contributes to production infrastructure, platforms, and/or service improvements. Contributes to the design, development, configuration, implementing, of enterprise supporting systems. Contributes to server architecture and networking solutions. Conduct simple code and architecture reviews and resolves simple performance and scalability issues to improve products and services.

Responsibilities
Key Responsibilities
Production Infrastructure:
-Follows general guidance to maintain the production infrastructure, platforms, and services which support the growing client base as well as to support the design and implementation of highly scalable environments.
-Works with other teams in the organization and provides solutions for their needs.
-Participates in the design review of new, scalable solutions for fast changing environments with complex needs in various fields (e.g., configuration deployments, monitoring, and logging) with limited supervision.
Troubleshooting, Testing, and Improvements-Drilldown Analysis/Troubleshooting:
-Supports the execution of deep drill down analysis into production support operations and implements necessary fixes.
-Investigates errors, debugs source code and performance bottlenecks, and provides root cause analysis (RCA) if needed with assistance from others.
-Triages issues and connects with SMEs to determine resolution.
Troubleshooting, Testing, and Improvements-Testing and Improvements:
-Builds and implements small to standard enhancements (e.g., automating alerts) and receives minimal guidance to resolve defects.
-Globally works with cross functional teams to ensure service health with pre-production testing of new releases, post-change validation, and automation work to improve the testing.
-Contributes to changes, evolution, improvements, simplifications, and development of new ideas for the production, platforms, and/or services.
-Participates in the creation of user acceptance test plans.
System Design and Architecture-System Design:
-Contributes to the implementation and deployment of enterprise supporting systems with minimal guidance.
-Works with limited external or internal customers to implement large scale solutions, business process architecture, application system design, and implementation.
System Design and Architecture-System Architecture:
-Contributes to the identification of solutions in experience of application or server architecture and networking.
-Participates in the development of part of the architecture standards and practices.

we are looking for a Staff Backend Engineer- Agent Experience (AX).
What you'll do:
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI - let coding agents and LLMs discover and invoke reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path - make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable - partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend - Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate - prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.

Were looking for a Senior Backend Engineer who will join our team and make a big impact.

About the role

Youll join a small, high-ownership backend team building the systems that power our company core platform, working mainly on data pipelines with a focus on the quality and structure of the data itself. We believe great engineers come from all backgrounds, and we actively work to build a team where everyone belongs and thrives.

What youll do

Design and implement new flows and services
Maintain, improve, and extend existing backend services and APIs
Work with multiple data stores - relational, NoSQL, search (Elasticsearch, etc.)
Maintain and build event-driven pipelines using message brokers (Kafka, RabbitMQ, or similar)
Collaborate with product and architecture on scalable, resilient system design
Integrate and leverage AI tools in your daily workflow - and ideally, build them

Responsibility
Plan, implement, and take full ownership of core features, ensuring the successful completion of the entire development cycle from design to deployment.
Lead architectural decisions and create comprehensive implementation plans to ensure scalable and secure feature delivery.
Orchestrate parallel development streams to maintain high velocity across multiple branches and complex pull requests.
Drive technical excellence by proactively exploring and sharing new technologies, AI tools, and libraries to continuously improve code quality, build performance, and system scalability.
Collaborate with cross-functional teams to contribute to high-level system design and product strategy.
Create and integrate user interfaces from scratch, ensuring intuitive, high-performance, and responsive designs.
Contribute to back-end logic in NodeJS servers and monitor/fix production issues as they arise.

We are looking for a highly seasoned Tech Lead with a deep SaaS background to bridge the gap between high-level architectural vision and hands-on technical execution. In this role, you will be a cornerstone of the Platform group, blending very senior development expertise with architectural leadership.
You will lead by example, spending a significant portion of your time in the code while simultaneously guiding the technical and architectural direction of the group. Reporting to the Platform Group Manager, you will collaborate with product managers and engineers to deliver robust capabilities consumed by internal teams and external customers.
What You'll Do:
Hands-on Technical Leadeship
Lead or co-drive the implementation of complex, cross-cutting platform features, maintaining a high standard for code quality and system performance.
Translate architectural goals into actionable technical roadmaps and lead teams through successful execution.
Balance daily feature delivery with long-term architectural health, ensuring that technical debt is managed effectively.
Provide deep-dive code reviews and technical mentorship, elevating the engineering craft across the domain.
Serve as the primary technical point of contact for the group, making critical decisions on implementation patterns and tool selection.

We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our company Automation Platform (DAP) team.
The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.
You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.
This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.

Were looking for a Senior Backend Engineer whos eager to become one of our core team members and establish themselves as a significant building block of our products and company at this exciting and critical point in time before we reach greater heights.

Responsibility
Research, design, and implement high-performance resilient APIs and services.
Contribute to a positive and collaborative team environment by sharing your knowledge and expertise.
Collaborate with engineers and product managers to deliver robust solutions in short development iterations.
Develop maintainable and clean code with heavy reliance on developer testing
Make thoughtful trade-offs based on business priorities, user needs, and a sustainable technical foundation.

We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today.
Key Responsibilities
Develop internal AI-powered products and tools used by teams across our company to work faster and smarter.
Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams.
Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows.
Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development.
Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption.
Work hands-on with the most advanced AI development tools and shape how the company uses them.

We're looking for an AI Workflow Engineer to join our System Architecture group. This is a high-impact role where you'll design, build, and continuously improve AI-powered workflows, agents, and tools that help our architects do their best work - from system design and modeling through documentation, technical decision-making, and review.
Working from within the architecture team, you'll turn the group's real, day-to-day pain points into practical AI-assisted solutions. Your primary focus is system architecture within the software development lifecycle (SDLC), and because architecture touches everything, your work will naturally extend into adjacent stages wherever AI can add value.
Key Responsibilities:
Design and build AI-powered workflows, agents, and internal tools that support system architecture work - design, modeling, documentation, architecture decisions, and reviews.
Develop and iterate on agents within our internal framework, using agentic AI techniques to accelerate and augment architecture and engineering tasks.
Continuously improve existing workflows and tools as team needs evolve and AI capabilities advance.
Partner closely with the System Architecture team to understand real pain points and turn them into practical, AI-assisted solutions.
Measure and demonstrate the impact of the workflows you build - for example on design-cycle time, review turnaround, and the quality and completeness of architecture documentation and decision records.
Build proof-of-concept projects that show the practical value of AI in real architecture and engineering workflows.
Develop best practices, prompt engineering guidelines, and reusable patterns for AI-assisted architecture and development.
Stay current with the rapidly evolving AI tooling landscape and advise on strategic adoption.

We are seeking a senior ATE Software Engineer to design, build, and deploy our next-generation automated manufacturing test platform for advanced telecom, high-density switching, and optical networking hardware.
In this role, you will bridge the gap between R&D hardware/firmware teams and high-volume manufacturing lines. You will take ownership of ingesting, refactoring, and consolidating disparate R&D scripts, diagnostic tools, and legacy software into a single, scalable, production-grade test platform.
We expect you to leverage modern AI-assisted development tools and workflows to maximize engineering efficiency, accelerate delivery timelines, and build highly robust, self-healing test automation. You will deploy test stations across global Contract Manufacturers (EMS/ODM), actively stabilize production lines through bring-up and ramp-up, and drive continuous test maintenance and root-cause failure analysis (RCA).
Key Responsibilities
Test Platform Architecture & Software Development:
Design, develop, and productize robust, modular test software frameworks for board-level (PCBA) and system-level manufacturing testing across multiple product lines and manufacturing sites.
Codebase Unification & Refactoring:
Consolidate and standardize R&D diagnostic libraries, silicon validation scripts, and firmware tools developed across various environments (Python, C# / Visual Studio, VB, ATEasy, Linux) into a unified, maintainable test execution engine.
AI-Accelerated Development & Workflow Automation:
Actively integrate Generative AI tools and AI coding agents into your daily workflow to accelerate code conversion/refactoring, automate test case synthesis, generate edge-case validation scripts, and enhance overall codebase resilience.
Production Line Deployment & Stabilization:
Deploy test stations and fixtures to local and overseas EMS/CM production lines. Monitor, debug, and fine-tune test execution during NPI and ramp-up phases until yield, takt time, and test stability targets (CPK / First Pass Yield) are achieved.
Failure Investigation & Intelligent RCA:
Investigate complex system-level and component-level test failures. Utilize advanced log analysis, structured telemetry, and pattern recognition to drive root-cause investigations and implement preventive software/hardware fixes.
Ongoing Test Maintenance & Optimization:
Provide continuous operational Production line support and maintenance, bug fixes, software updates, and station cycle-time optimizations for active mass-production lines.
R&D Collaboration & Test Specification:
Collaborate closely with Hardware, Firmware, and Validation teams during early design phases to define test specifications, drive Design for Testability,
Documentation & Technical Reporting:
Author and maintain comprehensive testing documentation, Standard Operating Procedures (SOPs), test coverage matrices, and detailed failure analysis reports.
Manufacturing Systems Integration:
Integrate automated test sequences with CMs SFC/MES/QMS, serialized tracking, and central test log databases.
Log Analysis & Analytics Tool Development:
Design and build dedicated log parsing, data visualization, and diagnostic analytics tools to streamline complex hardware/software debugging, accelerate root-cause analysis (RCA), and drive continuous production line cycle-time and yield optimization.