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We are looking for a Product Engineer to own and ship the products that put this capability in the hands of engineers, data scientists, and researchers.

What you'll do
Own product features end-to-end: scope, build, ship, measure, and iterate - across CLI, IDE integrations, web surfaces, and the AI pipeline behind them.

Talk directly to users - engineers, data scientists, ML practitioners - and let their feedback shape what you build next.

Define what AI-powered code optimization and verification feels like as a developer experience: the interaction model, the feedback loops, the trust signals. There is no established playbook; you will create the conventions.

Craft interfaces that feel fast, focused, and effortless for technical users who have zero patience for friction.

Collaborate with researchers to translate model breakthroughs into polished, reliable tooling that developers can depend on in production.

Build evaluation infrastructure and product metrics that measure whether the tools are actually getting better.

Work directly with the founding team on product strategy and roadmap.

We are looking for someone with strong fundamentals, algorithmic problem solving capabilities, hands-on engineering skills, a collaborative mindset, and a desire for continuous learning. We value people who are comfortable moving between code, systems, algorithms, and problem domains.

What you'll do
Write production-grade code powering frontier AI systems.

Work on performance, scalability, and reliability of distributed systems.

Collaborate with researchers and engineers to turn ideas into systems that run.

Improve tooling, infrastructure, and developer workflows.

As a member of our Physical Design team in this highly visible role, you will directly own implementation and verification of design partition(s) / IPs (netlist to delivery of our final GDS) for a highly complex SoC utilizing state of the art process technology.
* Implementation - Block level PnR, floor-planning, clock, power planning and distribution.
* Verification and Analysis - Static Timing closure using commercial tools, Physical Verification as well as Electrical/Power Analysis (EM / IR-Drop / Xtalk / noise )

Were looking for a strong, experienced developer, someone who has built real systems, understands production, and takes ownership end to end.



In this role, you will:

Build and maintain backend services in Node.js at a production level
Develop modern frontend applications using React or Vue
Own features end-to-end from design to production
Work closely with product, data, and design teams
Improve performance, reliability, and code quality
Write clean, maintainable, production-grade code

As a Customer Support Specialist, you will play a vital role in ensuring our customers succeed with innovative products and services:



Serve as the primary point of contact for customers, managing inquiries via chat, email, WhatsApp, and phone.
Guide customers through the onboarding process and empower them to use products effectively.
Proactively engage with customers to identify their needs, resolve issues, and ensure their satisfaction.
Identify upselling opportunities and recommend tailored solutions to enhance customer value.
Collaborate closely with Product teams to ensure efficient resolution of customer issues.
Continuously monitor customer feedback and satisfaction metrics, contributing to ongoing improvements.

We are looking for a mid-level Data Engineer, experienced with building data pipelines using Python and Airflow for structured data and relational databases. The ideal candidate is a self-directed learner, takes ownership of the pipelines they build, and cares about data quality as much as feature delivery.





Key Responsibilities:

Own our data pipelines, including maintenance and adding new features.
Take charge of data integrity and completeness, including writing and maintaining tests.
Improve process efficiency and optimize runtime performance.
Own schema design and evolution across our data pipelines.

We are looking for a highly capable and experienced Deep Learning Researcher to lead and develop advanced deep learning solutions for metrology challenges within our CTO group.
Responsibilities
What you will be doing:
Lead feasibility studies and proof-of-concept investigations for advanced deep learning solutions addressing complex metrology challenges.
Design, develop, and evaluate deep learning infrastructure for early-stage metrology technologies.
Propose and drive new deep learning directions, research ideas, and innovative approaches in collaboration with the CTO group.
Work closely with multidisciplinary teams to translate research concepts into practical metrology solutions.
Stay up to date with state-of-the-art deep learning methods and apply them to novel semiconductor metrology problems.

We are seeking an Algorithm Team Manager to join the DMD Algorithm Group. In this role, you will lead a team of algorithm developers responsible for developing advanced modeling, signal-processing, optimization, and machine-learning solutions for our semiconductor metrology products. You will combine strong technical leadership with people leadership and delivery ownership, driving algorithmic solutions from early research and feasibility through productization, customer deployment, and continuous improvement.
Responsibilities
What will you be doing:
Manage, mentor, and develop a team of algorithm developers, building strong technical ownership, collaboration, and execution excellence.
Lead the delivery of high-impact algorithmic projects for DMD products and applications, from concept and feasibility through implementation, integration, validation, and release.
Define technical direction, priorities, milestones, and resource allocation across multiple parallel R&D activities.
Drive the development of advanced physical modeling, data-analysis, optimization, signal-processing, and machine-learning algorithms.
Work closely with Systems, Physics, Software, Applications, Product, and Program teams to translate product and customer needs into robust algorithmic solutions.
Ensure algorithm quality through clear requirements, sound architecture, code reviews, testing, performance analysis, documentation, and maintainable development practices.
Support product integration, customer evaluations, and escalations, including analysis of complex field and fab data.
Identify technological gaps and opportunities, initiate innovative solutions, and contribute to the DMD algorithm and product roadmaps.
Communicate project status, risks, trade-offs, and recommendations clearly to technical and management stakeholders.

As a Product Manager at Limitless-Labs, you will lead the development of a one-of-a-kind AI Machining Agent, shaping a product at the intersection of AI, algorithms, and advanced manufacturing. You will deeply understand business goals and user needs in a complex, real-world environment, and work closely with AI, algorithms, and software teams to turn cutting-edge technology into a market-ready product.

This is an intensive and challenging role, where youll push the boundaries of whats possible alongside a top-tier, highly talented team. Youll combine strategic thinking with hands-on execution to deliver a best-in-class product that sets a new standard in the industry.

What Youll Do
Own the product vision and roadmap for our AI Machining Agent, from concept through launch and iteration.
Translate complex business, user, and manufacturing needs into clear product requirements and priorities.
Work hands-on with AI, algorithms, and software teams to define problems, design solutions, and deliver high-impact features.
Drive product discovery through user research, data analysis, and close collaboration with customers and internal stakeholders.
Make fast, high-quality decisions in a dynamic and ambiguous environment, balancing short-term execution with long-term strategy.
Define success metrics, track product performance, and continuously iterate to improve outcomes.
Act as the voice of the product, aligning engineering, leadership, and go-to-market teams around a shared vision.

We're looking for a Senior Algorithm Developer with a strong algorithmic background in both classical and deep learning methods.

What Youll Do
Develop, release and improve algorithms and models for recommending the best machining operations that balance customer valued KPIs such as machining time, machining tolerances and tool wear.
Dive deep into the CNC machining domain to cultivate intuition to inform your algorithm development decisions.
Collaborate with the Product team to discover and drive improvements in our human-AI interface.
Own your models in production. Validate your solutions against real-world machining scenarios and customer parts.
Research novel approaches to continuously improve our core technology.

We are looking for a Data Products Engineer to take full ownership of our 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.