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we are looking for a Infrastructure / Platform Engineer.
Build and scale the infrastructure layer behind every service - EKS orchestration, Pulumi IaC modules, Helm chart automation, and the observability stack that keeps the platform trustworthy.

we are looking for a Developer Experience Engineer.
Own the surfaces developers touch every day - the riven CLI, our SDKs, the Electron desktop IDE, and the docs. Make the path from zero to a deployed app feel effortless.

Design and build the infrastructure and interfaces that power context-AI platform, owning features end to end, from technical design through production.
What you'll do:
Design, implement, and scale data-intensive processing pipelines and core platform architecture.
Develop and scale the backend infrastructure behind our context-AI capabilities and production apps.
Build and maintain intuitive interfaces for complex data visualization and interaction.
Optimize performance across distributed systems, databases, and cloud architectures.
Own the full feature lifecycle: technical design, deployment, and monitoring.
Lead technical initiatives, shape the product roadmap, and mentor junior engineers.

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.

Your focus will be to champion Foundry Projects born in the CTO office. Imagine shaping the architecture of multiple 'internal startups,' aligning them with the ecosystem while charting a strategic path to production. You will balance the urgency of moving fast with the foresight to build 'right and smart,' ensuring these innovations are ready to scale the moment they hit our core environment.

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.

We are looking for an AI (vision) Researcher.

As part of the team you will:

Develop novel solutions for retinal screening, spearheading healthcare accessibility.

Help prevent blindness worldwide.

Join a leading company with unique FDA approved products.

Learn from top ML researchers in the field.

As a Full Stack Engineer, youll help shape the brain and heartbeat of our product. This isnt a narrow coding role, youll own problems end-to-end, from first sketch to shipping, and watch your work come alive in production within weeks. Youll join a tight, ambitious team where every engineer helps define both the product and the culture.
What youll do
Work across the stack, from frontend polish to backend resilience.
Collaborate with product and design to shape features, not just code them.
Ship fast, ship often, and still take pride in craft.
Explore and integrate advanced AI (LLMs, GenAI) into a production-grade product.
Turn customer feedback into product improvements that stick.
How we work
In-office, side-by-side, with quick feedback and faster shipping.
Pragmatic and product-first: no feature ships unless it makes a real impact.
Supportive but demanding: we hold a high bar and help each other reach it.
The tools we use (today - youll help shape tomorrow)
Powering the logic that makes hardware data come alive in our backend is Python. On the frontend, React and TypeScript give users a simple, intuitive way to work with complex information. Everything runs in the cloud - AWS and GCP - with containerized microservices (and Kubernetes keeping the gears turning smoothly) ensuring we can ship fast and scale seamlessly. For intelligence, we weave in LLMs and data pipelines to unlock insights from documents. And for resilience, our real-time monitoring keeps an eye on the moving parts - so the system stays as reliable as the products it supports.

Were looking for a talented Embedded SW Engineer to join our innovative team. As a member of our team, you will be responsible to innovate, design and implement embedded software in C/C++ for our chipset.

Responsibilities
Design, implement and optimize the embedded software driving our chipset (drivers, middleware and application layer).
Collaborate with System architecture and Hardware groups to deliver quality system solutions.
Optimize code for memory usage, performance, and power efficiency.
Ensure compliance with Safety and Industry standards.

We are a fast-moving startup developing breakthrough digital printing technology for optical lens coatings. We are seeking a highly motivated and experienced Director of Automation to lead our multidisciplinary Automation group. This key leadership role holds disciplinary responsibility over the mechanics, software, control, and electrical engineering teams. The ideal candidate will thrive in a dynamic startup environment, driving the team forward with a strong sense of ownership, excellent interpersonal skills, and a collaborative mindset. You will oversee the development of cutting-edge technologies, manage the delivery of the software and control systems, and ensure successful technological implementations at customer sites.
Key Responsibilities:
* Multidisciplinary Leadership: Provide direct management and disciplinary leadership for the mechanics, software, control, and electrical engineering teams.
* Delivery Management: Lead and manage complex software and control plans from concept through development to successful deployment.
* Technology Development & Innovation: Drive the research, design, and development of new automation technologies to enhance our industrial equipment platforms.
* Customer Implementation & Support: Oversee the deployment and integration of new technologies, ensuring seamless implementation at customer site and providing ongoing top-tier support.
* Teamwork & Collaboration: Foster a culture of exceptional teamwork and cross-functional collaboration. Work closely with other R&D groups: System Engineering, Process, Materials, Integration & Testing as well as with Operations and Customer support.
* Execution & Ownership: Take full ownership of the Automation roadmap. Push projects forward proactively, overcome obstacles in a fast-paced environment, and lead the team to meet ambitious technological and business milestones.

We are looking for a Data Products Engineer to take full ownership of our companys internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.
Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.
How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

Join our R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies.
The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.

Responsibilities include:
Development in C/C++, Python, and Bash.
Research and analysis of LTE/5G cellular protocols and RF behavior.
Building monitoring, detection, and automation tools.
Analyzing protocol data, logs, and software code.
Working with databases and query languages.
Collaborating with multidisciplinary R&D teams and participating in field activities.
Turning complex RF and protocol information into operational insights.

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.

This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.

You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.

This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.

Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

We're looking for a Data Science Tech Lead to take technical and delivery ownership of this team, a hands-on senior IC role. You'll set research direction, own client-facing delivery end-to-end, and drive how the team builds and scales its use of GenAI tooling and agentic capabilities. You'll work closely with other data scientists & analysts and partner daily with Solutions, Implementation, and Engineering. This role comes with real latitude to shape research direction and influence our product offering and roadmap - not just execute against a backlog.

What you will do
1. Research Direction

Set the technical research agenda for our tabular prediction models.
Guide how we incorporate temporal signal - case history, lag features, schedule snapshots- without defaulting to time-series techniques that don't fit our data.
Own our strategy for extracting value from unstructured data sources via LLMs - feature extraction, embeddings, or fine-tuning - balancing accuracy, cost, and constraints like latency and privacy.
Set standards for experimentation, evaluation, and model guardrails.
2. Client Project Delivery

Own DS delivery end-to-end across concurrent client engagements - from discovery through modeling, validation, and go-live.
Partner with Solutions and Implementation on discovery and rollout; represent Data Science in client meetings, presenting results directly to stakeholders.
Ensure delivery lands inside the product, on timeline, coordinating with Engineering on productionization.
Track delivery risk across the client portfolio, flagging blockers and scope changes early.
3. GenAI Tooling & Team Capability

Build the team's onboarding and delivery playbook for new use-cases and encode it as reusable Claude skills/agents
Turn repeatable steps in the DS workflow into standardized, shared tooling.
Raise the team's GenAI fluency through mentoring on Claude Code and related tooling.

We are looking for an experienced developer to join our amazing Professional Services Team.
Be a tech lead, mentor and take part in developing our infrastructure and architecture
Take a major part in creating customer solutions, architecture and development of various
integration services
Work closely with healthcare organizations, implementing and delivering projects that enables
them to use our innovative product
Comfortable in a customer facing role
Design, Develop and integrate quality code for our professional services team

We are seeking a senior embedded software engineer to serve as the technical lead for our embedded team, developing the real-time software at the heart of a first-in-market surgical robotic platform.

This is a hands-on, individual-contributor role: you will help shape the technical direction, make sound engineering decisions, and take ownership of delivering features end to end, while remaining deeply involved in the code. As the system is designed collaboratively by the team, strong cross-team collaboration is as important as individual technical excellence. This is safety-critical software, and we hold a high standard for rigorous design, testing, and code quality.

Responsibilities:

Serve as the technical and feature lead for the embedded team, guiding design decisions and mentoring peers through code reviews (this is not a people-management role).
Drive the design and development of our real-time embedded software, and own the delivery of features end to end.
Uphold a high standard of code quality through code reviews, best practices, and continuous improvement.
Remain hands-on, personally developing the most complex and safety-critical components in C/C++.
Collaborate closely with other teams across the company to ensure technical alignment and shared progress.
Take ownership of delivery, ensuring features are completed on schedule and to the quality this product demands.
Make technical decisions independently where appropriate, while knowing when to involve the wider team.

We're looking for an experienced and accomplished engineering leader to join us in our mission to scale while upholding the quality and craft our users love. You'll partner closely with Product, Design, Data, Marketing, and GTM to chart the course for these features and leverage them to help Figma further deepen its engagement with designers.

This is a full time hybrid role based out of our Tel Aviv, Israel office.

What you'll do at Figma Weave:
Partner with Product and Design to build and execute on a long-term roadmap
Work closely with cross-functional partners and other engineering teams to expand what's possible with the application of AI to creative problems
Hire, manage, support and develop a team of engineers, including staff level engineers
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Contribute to and help shape the growth of the Weave engineering organization as it scales
Play an active role in building an inclusive team culture through hiring practices, mentorship, and cross-team community programs