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We are looking for an exceptional Full-Stack Engineer to join our product engineering group. You will collaborate closely with Product and design teams to design and implement solutions that provide significant value to our clients. Our product includes multiple web apps, mobile apps, and integrations with various external systems.
The balance between frontend and backend work in this role is flexible, and depends on your strengths and preferences.
What you'll do:
Be part of the application team, taking end-to-end responsibility for all our customer-facing applications, from the database to the UI.
Work on our web frontend systems, written in React and TypeScript, and our backend services, built with Python, Django and Postgres .
Develop user interfaces for interacting with complex data - 360 videos and images, 2D floor plan maps, 3D models, and large data grids.
Design APIs that serve large amounts of data to the client in a performant way.
Build asynchronous jobs and data pipelines, and optimize queries over large production datasets.
Be part of a vibrant team of bright and experienced engineers working to bring the construction industry into the digital age.

Required Senior Backend Engineer
About the Role:
Were looking for people who are passionate about solving problems, dont shy away from leading features and projects, and are sharp and creative enough to find outside-the-box solutions to our wide range of product initiatives
What you'll do:
Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data.
Tackle Diverse Data Challenges: Work hands-on with vast construction data-ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights.
Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally.
Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred).
Advanced AI Integration: "Skilled in pushing AI tools to the next level- moving from simple chat interfaces to building autonomous scripts, agents, or custom workflows that optimize system performance and reliability.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance and observability are baked in from day one

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

We're hiring a Full-Stack Team Lead for our product engineering group. Two things make this a good time to join:
First, we have a lot of new product to build. You'll work on interfaces over 360 walkthroughs, drone imagery, 2D plans, 3D models, and large data grids. Theres plenty of greenfield work on our roadmap alongside an established product.
Second, we're actively reshaping our engineering workflow around AI coding tools. We want this role to help lead that - not just adopt the tools, but shape how the team uses them, what we build with them, and what good looks like a year or two from now.
You'll lead a small full-stack team, own features end-to-end, and stay hands-on. You'll work closely with Product, Design, and other engineering teams. We're open to different backgrounds: a frontend lead growing into backend, a balanced full-stack engineer, or a backend lead with solid frontend skills. What matters is that you can lead, learn, and get things done.
What You'll Do:
Lead and grow a small full-stack team.
Code across the stack: React and TypeScript on the frontend, Python, Django, and Postgres on the backend.
Own features end-to-end - UI, API, data models, background work.
Build interfaces over complex data: 360 walkthroughs, drone imagery, floor plans, 3D BIM models, large data grids.
Help shape how the engineering org uses AI coding agents day-to-day.
Work closely with Product, Design, and other engineering teams.
Hire, onboard, and grow your team.

Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

As a Software Solution Architect, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the worlds most advanced accelerated computing environments!

What you'll be doing:

Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.

Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.

Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software.

Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows.

Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs.

Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems.

Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.

Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions.

Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support.

The PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, our company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively.

What Youll Be Doing:
Architect and develop production-quality C++ components, APIs, and integrations for NVIDIAs AI-powered developer-tools ecosystem.
Build reliable, performance-sensitive systems connecting native C++ tools with Genies retrieval and agentic capabilities.
Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling.
Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations.
Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams.
Mentor engineers and help establish best practices for production-quality AI-powered systems.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:
Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.
Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
Taking part inflows development.

We're looking for an AI Engineer to design and own the agentic infrastructure that spans the entire company
What You'll Do:
Architect and ship agentic capabilities as production-grade product features - owning the full tradeoff space across reliability, observability, security, latency, deterministic behavior and cost.
Design and build AI agents that operate across identity graph, automating complex identity related workflows.
Evaluate and integrate emerging LLMs, agent frameworks, and agent infrastructure, making principled build-vs-integrate decisions grounded in production requirements.
Partner with R&D and product leadership to identify where agentic automation delivers the highest leverage across the product.

We're looking for an experienced Backend Engineer to join a highly skilled R&D team of exceptional peers. You are a builder at heart - someone who deeply understands distributed systems and takes pride in shipping efficient, resilient code.
We need an engineer who instinctively drives projects forward, stepping in smoothly whether its designing greenfield architecture or tackling complex engineering problem. If you are passionate about your craft, naturally curious about modern engineering paradigms, and prioritize collective success, we want you on our team.
What You'll Do:
Drive the end-to-end development of critical backend components - from research and system design to deployment, observability, and long-term maintenance.
Serve as a trusted voice in technological and architectural decisions, balancing rapid execution with pragmatic, scalable system design.
Architect and facilitate full agentic workflows, integrating AI capabilities directly into our core platform.
Act as an autonomous executor who seamlessly collaborates with the broader team, elevating engineering standards and delivering top-tier value to our customers.

Were looking for an experienced Senior DevOps Engineer to join a highly skilled R&D team of exceptional peers. You are a builder at heart - someone who deeply understands how a well-oiled engineering organization operates, from seamless CI/CD pipelines and complex networking to infrastructure, databases, and delivering a stable, robust product to customers.
We need an engineer who instinctively bridges the gap between customer requirements and peer developer needs, stepping in smoothly to tackle complex engineering issues with elegant, production-grade solutions. If you are passionate about your craft, naturally curious about modern infrastructure paradigms, and prioritize collective success, we want you on our team.
What You'll Do:
Lead end-to-end infrastructure solutions from initial discovery of customer and developer needs to delivering robust, scalable systems in a fast-paced environment.
Serve as a trusted voice in technological and architectural decisions, balancing rapid execution with pragmatic, highly resilient infrastructure design.
Own and optimize our core platform foundations, ensuring seamless automation, advanced container orchestration, and rock-solid environment stability.
Act as an autonomous executor who drives major infrastructure features from conception to deployment, collaborating closely with the broader team to elevate engineering standards.

We are looking for a high-ownership Product Manager to take full end-to-end responsibility for a core domain within platform. Reporting to a Director of Product, you will bridge the gap between customer discovery and technical R&D execution to ship market-ready, AI-native identity solutions at speed.
What you will Do:
Own a product domain end-to-end within platform, driving it from zero to a shipped, market-ready capability.
Lead structured discovery: conduct customer interviews, engage with industry analysts and IAM/IGA consultants, and synthesize findings into sharp problem definitions and opportunity sizing.
Map the competitive landscape across identity governance, NHI management, and adjacent security tooling to identify differentiated positioning for your domain.
Translate discovery into a clear product strategy and roadmap, making deliberate prioritization decisions backed by evidence from the market and identity graph data.
Partner closely with R&D throughout the full build cycle - from shaping requirements and reviewing designs to driving execution and managing trade-offs under real delivery constraints.
Work hand-in-hand with GTM teams to define go-to-market strategy, equip sales and marketing with the right positioning, and ensure a tight feedback loop from the field back into the roadmap.