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We are looking for a Senior Software Engineer to solve complex technical problems and build dependable backend and platform systems that enable our product to scale. You will own work from design through production, balance near-term delivery with long-term maintainability, and help teammates grow.

What youll do
Design, implement, and operate scalable backend services, APIs, and platform capabilities.
Build robust systems and services in Go and Python.
Own technical design, delivery, reliability, security, and operational quality for your domains.
Work with Product, Design, Data, and other engineers to deliver customer value quickly and safely.
Improve engineering foundations, including test coverage, observability, CI/CD, performance, and developer experience.
Apply AI-assisted engineering tools responsibly while maintaining strong technical judgment.
Evaluate and build production AI capabilities where they are relevant to the product.
Review code, mentor engineers, and contribute to architecture and technical standards.

The Applied AI Strategist helps customers turn complex business needs into practical AI solutions. This role combines business understanding, applied AI fluency, product thinking, and strong execution. You will work closely with customers and internal teams to understand problems, define solutions, guide implementation, and ensure the resulting systems deliver measurable value. You will bring structure to ambiguous challenges, make thoughtful trade-offs, and help move AI initiatives from concept to reliable production use.

What You'll do
Develop a deep understanding of customer workflows, requirements, constraints, and goals.
Identify and prioritize high-value opportunities for applying AI.
Translate ambiguous business needs into clear solution plans, requirements, and success criteria.
Design and validate solution concepts through prototypes, demonstrations, and structured evaluations.
Define prompt, context, workflow, and evaluation approaches for AI-powered solutions.
Coordinate stakeholders and maintain alignment throughout implementation.
Guide trade-offs across speed, quality, reliability, scalability, governance, and customer impact.
Identify and resolve risks or blockers that could affect successful delivery.
Measure solution performance, adoption, and business value.
Turn recurring customer needs and implementation lessons into reusable capabilities and best practices.

We're looking for an experienced AI Engineer to join our core team and design, build, and implement the autonomous AI agents that power our company's revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Explore and prototype cutting-edge AI techniques to tackle our hardest challenges
Architect and develop autonomous AI agents that intelligently eliminate vulnerabilities during container image generation
Collaborate with product and engineering teams to bring AI-driven features from concept to production
Monitor and evaluate AI model performance, implementing feedback loops to continuously improve accuracy and reliability
Develop and maintain machine learning pipelines that process security data and generate actionable insights
Ensure AI systems are robust, reliable, and performant at enterprise scale.

We're looking for DevOps Engineer to join our core team and establish the foundational infrastructure and practices that will scale our company's revolutionary container security platform.
Responsibilities:
Design, implement, and manage scalable cloud infrastructure on AWS to support our security platform, using Terraform and other infrastructure automation tools
Lead the deployment and management of containerized environments and microservices using Docker and Kubernetes
Design and build robust CI/CD pipelines using modern tools and methodologies to support rapid, secure deployments
Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance
Work closely with engineering, product, and security teams to ensure seamless integration between development and operations.

We are seeking a Software Engineer to join our core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.

Responsibilities
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).

Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.

Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).

Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.

Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.

Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.

Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.

Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

We're looking for an experienced Full Stack Engineer, focused on the frontend side to join our core team and help build the foundation of our company's security platform.
Responsibilities:
Take responsibility for our company's platform and infrastructure, building the frontend and backend experiences that make our revolutionary container security solution
Take ownership of the product, tech stack, and development processes, driving technical decisions across the frontend and backend
Work closely with cross-functional teams to deliver high-quality software and implement best practices in both frontend and backend development
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for an experienced Low Level Engineer to join our core team and help build the foundation of our company's AI-powered, CVE-free container security platform.
Responsibilities:
Design and implement robust infrastructure for supporting secured assets, including our revolutionary CVE-free container images.
Build and maintain support systems for multiple Linux distributions, ensuring seamless integration with existing development workflows.
Work closely with our AI engineers, security researchers, and platform engineers to integrate low-level infrastructure with higher-level services.
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We're looking for a Software Engineer to join our team and take ownership of building, maintaining, and shipping our company's CVE-free container images, libraries, and Helm charts at scale.
Responsibilities:
Build and maintain vulnerability-free container images, libraries, and Helm charts, working at the intersection of Linux systems, package management, and security,
Own the full artifact lifecycle - sourcing, patching, validating, and releasing new versions across images, libraries, and Helm charts
Clean CVEs end-to-end: scan, triage, patch, and validate fixes across our artifact pipelines
Ramp up on AI-assisted workflows and our current tooling to work efficiently at scale.

As a Sales Engineer at our company, you will act as the technical expert and trusted advisor throughout the sales cycle. Youll partner closely with Sales, Product, and Engineering to demonstrate our companys value, translate customer needs into technical solutions, and help close strategic deals.
Responsibilities:
Partner with Account Executives throughout the full sales cycle, from discovery to close
Lead technical discovery calls to understand customer environments, challenges, and requirements
Deliver compelling product demos and presentations tailored to customer use cases
Design and explain technical solutions that align with customer needs and business goals
Answer technical questions, handle objections, and support RFPs / security questionnaires
Act as the voice of the customer, providing feedback to Product and Engineering teams
Support proof of concepts (POCs) and trials, ensuring successful evaluations
Stay up to date on our companys product, roadmap, and competitive landscape.

The AI VLSI department develops top notch NPU that enables the execution of state-of-the-art LLMs, Generative AI models, and neural networks with exceptional performance, impacting multiple hardware and software teams across the company facing amazing PPAA challenges of the edge market.
In this role, as VLSI Team Leader in the AI VLSI department, you will lead a team of engineers developing cutting edge VLSI products such as - DSP, HW accelerators and AI Processors for the edge market, with full responsibility on the Front-End Design.
You will drive the development of robust, scalable, and efficient VLSI design, working closely with global Architecture, hardware simulator and Software teams to shape our companys next generation of AI solutions.
We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading VLSI Front-End Design engineers, and a track record of delivering complex, state-of-the-art products on time and in production ready quality.
The ideal candidate is execution-driven, innovative, and passionate about building high-performing team and cutting-edge AI technology.
Responsibilities
Manage and lead a team of Front-End Design engineers.
Be accountable for the teams development lifecycle, including architecture, development, validation, and release, focusing on meeting PPAA targets.
Lead development of advanced VLSI IPs for AI processors, DSP and HW accelerators while continuing pushing the VLSI design methodologies, procedures, sign off and AI tools assimilation to its next level.
Support system bring-up, debugging, and customer-facing activities when needed.

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate our companys AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various companys processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network.
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing our company customers to run most advanced AI networks efficiently on our company NPU software simulation.

In this role, as Embedded Software Team Leader, you will lead a team owning a key part of our company's NPU AI software stack, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). This stack is at the heart of the company AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. Reporting to the AI Software SDK Senior Team Leader, you will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.
Responsibilities:
Lead and manage the Embedded Software engineering team, ensuring high performance and productivity.
Own the design, development, and implementation of your component within our company's NPU AI software stack, aligned with the AI Software SDK group's technical strategy, architecture, and roadmap and its automated CI and release process.
Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members.
Ensure project timelines and deliverables are met.
Conduct performance reviews and support professional development of team members.
Collaborate globally with architects, HW teams, NPU teams, and other developer teams.

In this role, you will design, optimize and develop features in the simulator.
Simulators are used daily by our architecture, algorithms, system, VLSI and QA teams - and by our company customers running the most advanced AI networks on our processors.
The development language is C/C++ (OOP) on Linux and Windows platforms.
Responsibilities:
Design and develop simulation software for our companys NPU and DSP platforms within an agile, top-notch software organization.
Perform in-depth analysis and optimization of simulator performance and accuracy across multiple our company processor architectures.
Dive into a large existing codebase to debug and deliver clever solutions to complex software challenges.
Interact and engage with architecture, algorithms, system, VLSI and QA teams, including remote design centers.

You will be a key contributor to our companys AI Graph Compiler software stack for NPUs, designing system-level execution flows for advanced neural networks, including LLMs.
The role focuses on L1/L2 memory management, data movement, and performance optimization, working closely with compiler and hardware architects.
What will you do:
Design and own key components of our companys AI Graph Compiler.
Develop and optimize neural network execution flows and memory management.
Enable complex AI workloads, including LLMs, and implement new NPU features.
Analyze performance bottlenecks and drive system-level optimizations.
Collaborate with compiler and hardware teams on HW-SW solutions.

In this role, you will build deep expertise in AI fundamentals, LLM and generative AI network architectures, and their underlying algorithms. You will continuously research emerging generative AI architectures across the industry, staying ahead of how the field evolves.
A central focus will be quantization - understanding, developing, and refining quantization methods and algorithms, and driving their deployment on our hardware to achieve maximum performance without compromising accuracy.
Responsibilities:
Explore and plan end to end network deployment on our company's hardware.
Own network accuracy measurement and improvement.
Develop the graph compiler's hardware-aware quantization tool.